Pioneer Your Career with Gateway Geospatial Group

Full Description

The Geospatial Analyst integrates imagery, terrain, and vector data to produce spatial products that support mission planning and intelligence analysis. This role combines technical GIS expertise with analytic tradecraft to extract insights from imagery and spatial datasets. Analysts in this position directly support national security priorities by providing geospatial context to operational and strategic decisions.

Responsibilities

• Conduct GIS-based analysis of imagery and vector data.
• Develop geospatial intelligence products for analytic and operational use.
• Integrate remote sensing and open-source geospatial data.
• Support activity-based intelligence and spatiotemporal analysis.
• Ensure geospatial products adhere to IC/DoD standards.
• Guide junior geospatial staff and ensure high-quality production standards.

Required Qualifications

• Active TS/SCI clearance.
• Bachelor’s degree in Geography, Geospatial Science, Remote Sensing, or related field OR 13+ years of relevant experience in lieu of a degree.
• 10+ years of GEOINT analysis.
• Proficiency with ArcGIS, QGIS, or equivalent.
• Familiarity with imagery exploitation.

Preferred Qualifications

• Master’s in Geospatial Intelligence or Remote Sensing.
• Experience with LiDAR, SAR, or other advanced collection modalities.
• Familiarity with NGA mission systems and standards.

Full Description

The Operations Research Analyst applies advanced quantitative techniques to improve decision making across defense economic, logistics, and infrastructure domains. This role leverages optimization, simulation, and statistical forecasting to provide data-driven recommendations that increase mission effectiveness. Analysts in this position are expected to work closely with leadership to convert operational challenges into mathematical models that yield actionable insights.

Responsibilities

• Develop models to analyze mission performance and resource allocation.
• Apply optimization and simulation techniques to mission problems.
• Prepare decision-support products for government stakeholders.
• Translate operational challenges into quantifiable models.
• Support long-range planning through statistical forecasting.
• Mentor junior analysts and ensure methodological rigor in analysis.

Required Qualifications

• Active TS/SCI clearance.
• Bachelor’s degree in Operations Research, Industrial Engineering, Mathematics, or related field OR 13+ years of relevant experience in lieu of a degree.
• 10+ years of experience in applied quantitative analysis.
• Proficiency in optimization software and statistical tools.

Preferred Qualifications

• Master’s in Operations Research or Applied Mathematics.
• Experience with military logistics or infrastructure planning.
• Familiarity with economic modeling.

Full Description

The Modeling & Simulation Engineer develops and validates models that replicate real-world systems and operational environments to support mission analysis. These simulations are used to evaluate scenarios, assess system performance, and provide predictive insights to decision makers. Engineers in this role apply advanced techniques to design and refine models that inform planning, acquisition, and wargaming exercises.

Responsibilities

• Design and execute modeling & simulation studies.
• Apply simulation tools to evaluate systems and scenarios.
• Document assumptions, constraints, and validation processes.
• Support wargames, exercises, and capability assessments.
• Provide analytic recommendations to mission leadership.
• Lead modeling teams and ensure the rigor of simulation studies.

Required Qualifications

• Active TS/SCI clearance.
• Bachelor’s degree in Engineering, Operations Research, or related field OR 13+ years of relevant experience in lieu of a degree.
• 10+ years of modeling & simulation development experience.
• Proficiency with simulation software (MATLAB, Simulink, STK, or equivalent).

Preferred Qualifications

• Master’s in Operations Research or Systems Engineering.
• Experience with IC/DoD analytic modeling environments.
• Background in weapons or systems analysis.

Full Description

The Weapons Systems Analyst evaluates foreign weapons systems, assessing their technical capabilities, operational performance, and vulnerabilities. The role contributes to strategic and tactical understanding by providing detailed insights into adversary force structures, technologies, and deployment patterns. Analysts in this role help inform planning, acquisition, and operational readiness by producing authoritative assessments for decision makers.

Responsibilities

• Analyze technical characteristics of foreign weapon systems.
• Evaluate adversary capabilities and vulnerabilities.
• Produce detailed technical reports for defense planners.
• Maintain databases of weapons performance and proliferation.
• Support wargaming and scenario-based analysis.
• Lead analytic teams and review technical assessments for accuracy.

Required Qualifications

• Active TS/SCI clearance.
• Bachelor’s degree in Engineering, Physics, or related technical field OR 13+ years of relevant experience in lieu of a degree.
• 10+ years of weapons system analysis.
• Ability to interpret foreign technical publications and test data.

Preferred Qualifications

• Master’s degree in Engineering or Physics.
• Experience with modeling and simulation tools.
• Familiarity with DIA/MSIC mission areas.

Full Description

The Targeting Analyst fuses multiple intelligence sources to identify, characterize, and assess target systems in support of operational planning and collection. This position requires deep analytic rigor, structured methodologies, and the ability to uncover knowledge gaps and shape collection strategies. Analysts in this role support mission operations by producing accurate, timely, and actionable intelligence to inform national security decisions.

Responsibilities

• Conduct all-source research and analysis on target systems.
• Prepare analytic products supporting mission operations.
• Collaborate with intelligence community partners on shared target sets.
• Identify knowledge gaps and recommend collection requirements.
• Apply structured analytic methodologies to strengthen assessments.
• Provide mentorship to mid-level and junior analysts.

Required Qualifications

• Active TS/SCI clearance.
• Bachelor’s degree in Political Science, International Relations, Area Studies, or related field OR 13+ years of relevant experience in lieu of a degree.
• 10+ years of intelligence analysis experience.
• Familiarity with IC databases (MIDB, MARS, or equivalent).

Preferred Qualifications

• Targeting training/certification (e.g., DIA/DOD targeting courses).
• Familiarity with activity-based intelligence.
• Deployed or operational support experience.

Full Description

The Data Scientist applies statistical learning, predictive modeling, and analytic tradecraft to transform diverse data—economic, industrial, logistics, and geospatial—into mission insights. This role involves exploratory data analysis, model development, and advanced algorithmic approaches to identify hidden patterns and generate predictive intelligence. Data Scientists in this role collaborate directly with analysts and mission stakeholders to translate operational questions into actionable, data-driven answers.

Responsibilities

• Apply statistical modeling, machine learning, and AI techniques.
• Develop predictive models for economic and infrastructure datasets.
• Perform feature engineering and algorithm optimization.
• Collaborate with analysts to translate mission questions into data solutions.
• Support development of automation for anomaly detection.
• Guide junior scientists and review analytic approaches for quality assurance.

Required Qualifications

• Active TS/SCI clearance.
• Bachelor’s degree in Data Science, Mathematics, Statistics, Computer Science, or related field OR 13+ years of relevant experience in lieu of a degree.
• 10+ years of applied analytic experience with large datasets.
• Strong proficiency in Python, R, or Julia.
• Solid background in applied statistics or machine learning.

Preferred Qualifications

• Master’s degree in related field.
• Experience with IC/DoD data repositories.
• Familiarity with graph analytics or NLP.

Full Description

The Data Engineer enables DIA’s Defense Economic Analysis mission by designing, operating, and optimizing data management systems that move, normalize, and prepare structured, unstructured, and geospatial data for analysis. The role builds end-to-end pipelines and back-end data services across SQL/NoSQL environments and contributes to modernization of mission repositories and tooling to support analytic production. This position directly supports analysts and decision makers by ensuring that data is accurate, reliable, and accessible for mission use.

Responsibilities

• Develop and optimize ETL pipelines for diverse data sources.
• Manage and tune relational and non-relational databases.
• Implement data validation and quality assurance processes.
• Enable integration of geospatial and economic datasets for analytic workflows.
• Support modernization of DIA repositories and cross-domain data access.
• Provide technical mentorship and oversight to junior engineers.

Required Qualifications

• Active TS/SCI clearance.
• Bachelor’s degree in Computer Science, Engineering, or related field OR 13+ years of relevant experience in lieu of a degree.
• 10+ years of professional data engineering experience.
• Proficiency with SQL, Python, and ETL frameworks.
• Experience with geospatial data standards (OGC, ISO).

Preferred Qualifications

• Master’s in Data Science or Engineering.
• Experience with Airflow, ElasticSearch, and distributed databases.
• Prior IC/DoD project leadership experience.

Full Description

The Geospatial Analyst integrates imagery, terrain, and vector data to produce spatial products that support mission planning and intelligence analysis. This role combines technical GIS expertise with analytic tradecraft to extract insights from imagery and spatial datasets. Analysts in this position directly support national security priorities by providing geospatial context to operational and strategic decisions.

Responsibilities

• Conduct GIS-based analysis of imagery and vector data.
• Develop geospatial intelligence products for analytic and operational use.
• Integrate remote sensing and open-source geospatial data.
• Support activity-based intelligence and spatiotemporal analysis.
• Ensure geospatial products adhere to IC/DoD standards.

Required Qualifications

• Active TS/SCI clearance.
• Bachelor’s degree in Geography, Geospatial Science, Remote Sensing, or related field OR 9+ years of relevant experience in lieu of a degree.
• 5+ years of GEOINT analysis.
• Proficiency with ArcGIS, QGIS, or equivalent.
• Familiarity with imagery exploitation.

Preferred Qualifications

• Master’s in Geospatial Intelligence or Remote Sensing.
• Experience with LiDAR, SAR, or other advanced collection modalities.
• Familiarity with DIA mission systems and standards.

Full Description

The Operations Research Analyst applies advanced quantitative techniques to improve decision making across defense economic, logistics, and infrastructure domains. This role leverages optimization, simulation, and statistical forecasting to provide data-driven recommendations that increase mission effectiveness. Analysts in this position are expected to work closely with leadership to convert operational challenges into mathematical models that yield actionable insights.

Responsibilities

• Develop models to analyze mission performance and resource allocation.
• Apply optimization and simulation techniques to mission problems.
• Prepare decision-support products for government stakeholders.
• Translate operational challenges into quantifiable models.
• Support long-range planning through statistical forecasting.

Required Qualifications

• Active TS/SCI clearance.
• Bachelor’s degree in Operations Research, Industrial Engineering, Mathematics, or related field OR 9+ years of relevant experience in lieu of a degree.
• 5+ years of experience in applied quantitative analysis.
• Proficiency in optimization software and statistical tools.

Preferred Qualifications

• Master’s in Operations Research or Applied Mathematics.
• Experience with military logistics or infrastructure planning.
• Familiarity with economic modeling.

Full Description

The Modeling & Simulation Engineer develops and validates models that replicate real-world systems and operational environments to support mission analysis. These simulations are used to evaluate scenarios, assess system performance, and provide predictive insights to decision makers. Engineers in this role apply advanced techniques to design and refine models that inform planning, acquisition, and wargaming exercises.

Responsibilities

• Design and execute modeling & simulation studies.
• Apply simulation tools to evaluate systems and scenarios.
• Document assumptions, constraints, and validation processes.
• Support wargames, exercises, and capability assessments.
• Provide analytic recommendations to mission leadership.

Required Qualifications

• Active TS/SCI clearance.
• Bachelor’s degree in Engineering, Operations Research, or related field OR 9+ years of relevant experience in lieu of a degree.
• 5+ years of modeling & simulation development experience.
• Proficiency with simulation software (MATLAB, Simulink, STK, or equivalent).

Preferred Qualifications

• Master’s in Operations Research or Systems Engineering.
• Experience with IC/DoD analytic modeling environments.
• Background in weapons or systems analysis.

Full Description

The Weapons Systems Analyst evaluates foreign weapons systems, assessing their technical capabilities, operational performance, and vulnerabilities. The role contributes to strategic and tactical understanding by providing detailed insights into adversary force structures, technologies, and deployment patterns. Analysts in this role help inform planning, acquisition, and operational readiness by producing authoritative assessments for decision makers.

Responsibilities

• Analyze technical characteristics of foreign weapon systems.
• Evaluate adversary capabilities and vulnerabilities.
• Produce detailed technical reports for defense planners.
• Maintain databases of weapons performance and proliferation.
• Support wargaming and scenario-based analysis.

Required Qualifications

• Active TS/SCI clearance.
• Bachelor’s degree in Engineering, Physics, or related technical field OR 9+ years of relevant experience in lieu of a degree.
• 5+ years of weapons system analysis.
• Ability to interpret foreign technical publications and test data.

Preferred Qualifications

• Master’s degree in Engineering or Physics.
• Experience with modeling and simulation tools.
• Familiarity with DIA/MSIC mission areas.

Full Description

The Targeting Analyst fuses multiple intelligence sources to identify, characterize, and assess target systems in support of operational planning and collection. This position requires deep analytic rigor, structured methodologies, and the ability to uncover knowledge gaps and shape collection strategies. Analysts in this role support mission operations by producing accurate, timely, and actionable intelligence to inform national security decisions.

Responsibilities

• Conduct all-source research and analysis on target systems.
• Prepare analytic products supporting mission operations.
• Collaborate with intelligence community partners on shared target sets.
• Identify knowledge gaps and recommend collection requirements.
• Apply structured analytic methodologies to strengthen assessments.

Required Qualifications

• Active TS/SCI clearance.
• Bachelor’s degree in Political Science, International Relations, Area Studies, or related field OR 9+ years of relevant experience in lieu of a degree.
• 5+ years of intelligence analysis experience.
• Familiarity with IC databases (MIDB, MARS, or equivalent).

Preferred Qualifications

• Targeting training/certification (e.g., DIA/DOD targeting courses).
• Familiarity with activity-based intelligence.
• Deployed or operational support experience.

Full Description

The Data Scientist applies statistical learning, predictive modeling, and analytic tradecraft to transform diverse data—economic, industrial, logistics, and geospatial—into mission insights. This role involves exploratory data analysis, model development, and advanced algorithmic approaches to identify hidden patterns and generate predictive intelligence. Data Scientists in this role collaborate directly with analysts and mission stakeholders to translate operational questions into actionable, data-driven answers.

Responsibilities

• Apply statistical modeling, machine learning, and AI techniques.
• Develop predictive models for economic and infrastructure datasets.
• Perform feature engineering and algorithm optimization.
• Collaborate with analysts to translate mission questions into data solutions.
• Support development of automation for anomaly detection.

Required Qualifications

• Active TS/SCI clearance.
• Bachelor’s degree in Data Science, Mathematics, Statistics, Computer Science, or related field OR 9+ years of relevant experience in lieu of a degree.
• 5–7 years of applied analytic experience with large datasets.
• Strong proficiency in Python, R, or Julia.
• Solid background in applied statistics or machine learning.

Preferred Qualifications

• Master’s degree in related field.
• Experience with IC/DoD data repositories.
• Familiarity with graph analytics or NLP.

Full Description

The Data Engineer enables DIA’s Defense Economic Analysis mission by designing, operating, and optimizing data management systems that move, normalize, and prepare structured, unstructured, and geospatial data for analysis. The role builds end-to-end pipelines and back-end data services across SQL/NoSQL environments and contributes to modernization of mission repositories and tooling to support analytic production. This position directly supports analysts and decision makers by ensuring that data is accurate, reliable, and accessible for mission use.

Responsibilities

• Develop and optimize ETL pipelines for diverse data sources.
• Manage and tune relational and non-relational databases.
• Implement data validation and quality assurance processes.
• Enable integration of geospatial and economic datasets for analytic workflows.
• Support modernization of DIA repositories and cross-domain data access.

Required Qualifications

• Active TS/SCI clearance.
• Bachelor’s degree in Computer Science, Engineering, or related field OR 9+ years of relevant experience in lieu of a degree.
• 5–7 years of professional data engineering experience.
• Proficiency with SQL, Python, and ETL frameworks.
• Experience with geospatial data standards (OGC, ISO).

Preferred Qualifications

• Master’s in Data Science or Engineering.
• Experience with Airflow, ElasticSearch, and distributed databases.
• Prior IC/DoD project experience.

Full Description

Implement comprehensive security architecture and compliance frameworks for sensitive geospatial intelligence systems. Ensure robust protection of classified data while enabling authorized access for both human users and automated systems.

Responsibilities

• Implement Role-Based Access Control (RBAC) and enterprise authentication integration
• Design and deploy zero-trust security architecture across distributed systems
• Establish comprehensive audit trails and compliance monitoring capabilities
• Implement encryption strategies and classified data protection measures
• Design security controls for both interactive and programmatic access patterns
• Coordinate security authorization documentation and approval processes
• Implement automated security scanning and vulnerability management
• Establish incident response procedures and continuous security monitoring

Required Qualifications

• TS/SCI Clearance
• 8+ years experience in cybersecurity and government compliance frameworks
• Expertise in intelligence community security directives and NIST frameworks
• Experience with OAuth 2.0, OpenID Connect, and enterprise authentication systems
• Knowledge of zero-trust architecture and defense-in-depth strategies
• Experience with security monitoring, SIEM integration, and incident response
• Understanding of encryption technologies and key management systems
• Experience with government security authorization and compliance processes

Preferred Qualifications

• CISSP, CISM, or equivalent security certifications
• Experience with government identity management and authentication systems
• Knowledge of AI/ML security considerations and automated system protection
• Experience with enterprise API security and access control systems
• Background supporting classified data processing and intelligence applications

Full Description

Implement and maintain cloud-native infrastructure and CI/CD pipelines for enterprise geospatial intelligence platforms. Ensure scalable deployment, security compliance, and operational reliability across complex technical environments.

Responsibilities

• Design and implement Kubernetes-based infrastructure in government cloud environments
• Develop comprehensive CI/CD pipelines for automated testing and deployment
• Implement container orchestration and microservices deployment strategies
• Configure monitoring, logging, and alerting systems for operational oversight
• Implement security scanning, compliance validation, and automated quality controls
• Design horizontal scaling capabilities for enterprise-scale applications
• Manage database deployment and optimization across multi-technology architectures
• Implement backup, recovery, and disaster recovery procedures

Required Qualifications

• Secret clearance (minimum, TS/SCI preferred)
• 6+ years experience with DevOps practices and cloud-native technologies
• Expert-level knowledge of Kubernetes, Docker, and container orchestration
• Experience with CI/CD pipeline development and infrastructure automation
• Proficiency with GitLab, Jenkins, or similar DevOps platforms
• Knowledge of infrastructure as code and configuration management
• Experience with monitoring tools and log aggregation systems
• Understanding of security compliance and government authorization processes

Preferred Qualifications

• Experience with government cloud platforms and security requirements
• Knowledge of enterprise API gateway and authentication integration
• Experience with multi-database deployment and optimization
• Background supporting AI/ML infrastructure and specialized workloads
• Familiarity with intelligence community compliance frameworks

Full Description

Develop comprehensive web applications and API infrastructure for geospatial intelligence platforms. Lead the implementation of high-performance, scalable applications that serve both interactive users and programmatic system integrations in government environments.

Responsibilities

• Develop modern web applications with advanced user interface capabilities
• Design and implement GraphQL APIs and microservices architectures
• Build responsive front-end applications with mapping and visualization components
• Implement enterprise-scale performance optimization for high-concurrency environments
• Architect cloud-native solutions using container orchestration technologies
• Integrate with government authentication systems and security frameworks
• Develop caching strategies and optimization techniques for sub-second response times
• Lead technical implementation of user experience design requirements

Required Qualifications

• TS/SCI Clearance
• 8+ years full-stack development experience in enterprise environments
• Expert-level proficiency in JavaScript, TypeScript, Python, Java, and modern frameworks
• Advanced experience with React, Angular, and contemporary web technologies
• Expertise in API development and database integration patterns
• Knowledge of Kubernetes, Docker, and cloud-native architecture
• Experience with high-traffic applications and performance optimization
• Proficiency with both SQL and NoSQL database technologies

Preferred Qualifications

• Experience with cloud platform engineering (AWS, Azure, or similar)
• Knowledge of graph databases and advanced query technologies
• Experience with geospatial web services and GIS integrations
• Background in enterprise API gateway and authentication systems
• Experience supporting mission-critical government applications

Full Description

Lead the design and implementation of the intelligent data fabric that transforms geospatial datasets into AI-enabled, discoverable resources. This role will architect the ETL pipelines, metadata enrichment systems, and graph database implementations that serve both human analysts and autonomous AI systems.

Responsibilities

• Lead data lake structure development with SQL and ElasticSearch integration
• Design and implement Apache Airflow ETL pipelines for diverse geospatial data sources
• Develop AI-powered metadata enrichment using NLP and semantic analysis
• Architect knowledge graph construction systems for anomaly detection and pattern discovery
• Implement comprehensive structured logging in JSON format for AI training datasets
• Design ontology-driven graph database population strategies
• Lead spatiotemporal analytics and activity-based intelligence tool development
• Ensure data quality monitoring and automated validation throughout ingestion processes

Required Qualifications

• TS/SCI Clearance
• 10+ years experience in data engineering and ETL pipeline development
• Expertise with graph databases (Neo4j, Amazon Neptune) and ontology modeling
• Advanced knowledge of ElasticSearch, PostGIS, and distributed SQL systems
• Experience with Apache Airflow orchestration and workflow management
• Proficiency in Python, SQL, and data processing frameworks
• Experience with geospatial data formats and standards (OGC, ISO)
• Knowledge of metadata management and controlled vocabularies

Preferred Qualifications

• 15+ years experience with publications and patents in data engineering
• Experience with AI/ML classification systems and automated processes
• Background in geospatial intelligence and NGA mission requirements
• Experience with FAISS vector databases and semantic similarity matching
• Knowledge of ICD 503 compliance and security audit trail requirements

Full Description

The Motion GEOINT Analyst conducts analysis and production using full-motion video (FMV) and other GEOINT sources to support critical defense and intelligence operations. This role involves processing, exploiting, and disseminating motion imagery from a range of DoD and IC platforms, delivering timely, actionable insights to mission partners. Analysts work in fast-paced environments where precision, geospatial expertise, and operational awareness are essential.

Responsibilities

• Provide real-time 24/7/365 motion video exploitation in a shift work environment
• Provide analyses of targets utilizing a variety of platforms and Motion GEOINT data
• Provide exploitation of Motion GEOINT, to include but not limited to, multi-spectral, Hyper spectral, Infra-Red (IR), Synthetic Aperture Radar (SAR), and LiDAR imagery
• Provide analysts capable of simultaneously being able to view, exploit, record, and touch-type (at least 32 wpm at 90% accuracy) live Motion GEOINT exploitation comments in support of operations
• Provide analysts that have completed formal Intelligence school (typically 2+ months, full-time, resulting in an Intelligence MOS from the military (e.g., All-Source, IMINT, SIGINT, HUMINT, etc.))
• Provide Storyboards, Vehicle Follows, and 360-degree graphics
• Respond to tasking for imagery research and analysis by researching current and historical hardcopy and softcopy imagery to answer detailed information requirements
• Produce standard and non-standard NGA imagery analysis products, such as summary reports, tailored mission-specific products, and database remarks, as well as daily briefings as required
• Collaborate effectively with other NGA NSG, ASG and Service imagery and geospatial analysts, as well as other intelligence analysts and engineers
• Archival and dissemination of products following NGA guidelines

Required Qualifications

• TS/SCI Security Clearance
• 3 years of full-time, post-schoolhouse, intelligence analysis experience OR a bachelor’s degree in a related field
• Must be adaptable and team-oriented
• Committed to delivering timely and accurate GEOINT
• Committed to maintaining the integrity of mission partner data and operations, and exhibit professionalism

Preferred Qualifications

• 5 years of full-time, post-schoolhouse, intelligence analysis experience, to include 3 years of GEOINT analysis experience; OR 3 years of full-time, post-schoolhouse, GEOINT analysis experience AND an associate degree in a related field
• Previous experience in Motion GEOINT analysis, mission familiarity, and demonstrated ability to operate in a high tempo environment

Full Description

Are you passionate about designing AI systems that unlock the full power of geospatial intelligence? At Gateway Geospatial Group (G3), we’re building the future of GEOINT by turning fragmented data into a semantically searchable, AI-enriched ecosystem.

Responsibilities

• Design and implement NLP and semantic enrichment pipelines that drive next-generation data discovery.
• Develop, fine-tune, and deploy transformer-based models (e.g., BERT, Sentence Transformers) to generate vector embeddings and metadata summaries.
• Build machine-learning-based methods for semantic search, automated tagging, and similarity matching across multi-modal GEOINT datasets.
• Work alongside DevOps, data engineers, and intelligence analysts in an Agile environment to deliver AI-ready infrastructure.
• Analyze temporal, geographic, and mission-specific patterns to build graph relationships across disconnected data sources.
• Contribute to real-world solutions supporting the National Geospatial-Intelligence Agency (NGA) and broader defense intelligence missions.

Required Qualifications

• TS/SCI clearance (required).
• Experience building or fine-tuning NLP models, especially for semantic understanding or classification.
• Strong understanding of vector similarity search techniques (e.g., FAISS, Annoy).
• Hands-on experience with Python, PyTorch, HuggingFace Transformers, scikit-learn, and Apache Airflow.
• Familiarity with graph-based data models (e.g., Neo4j) and knowledge graphs.
• Ability to create clean, auditable machine learning pipelines that integrate with structured ETL workflows.
• Comfort working across multiple geospatial formats (GeoJSON, WKT/WKB) and standards (ISO, OGC).
• A strong grasp of security-first AI development, especially in IC or DoD environments.

Preferred Qualifications

• Prior experience working on government or IC contracts involving GEOINT data.
• Familiarity with GraphQL, PostGIS, and/or ElasticSearch in AI-powered systems.
• Experience designing AI solutions that comply with ICD 503 and zero-trust architecture principles.
• Knowledge of multi-modal data enrichment and human-in-the-loop training workflows.

Full Description

TS/SCI Required Join our secure IT operations team to manage and maintain critical Windows-based infrastructure in a classified environment. We're seeking an experienced Windows System Administrator with active TS/SCI clearance to ensure the reliability, security, and performance of our enterprise systems. You'll be responsible for managing Windows Server environments, Active Directory services, and security protocols while maintaining compliance with strict government security standards and regulations.

Responsibilities

• Administer and maintain Windows Server environments (2016, 2019, 2022) in classified networks
• Manage Active Directory services including user accounts, group policies, and organizational units
• Install, configure, and maintain Windows-based servers, workstations, and enterprise applications
• Implement and maintain security policies, patches, and compliance measures for classified systems
• Monitor system performance, troubleshoot issues, and ensure maximum uptime and reliability
• Perform regular backup operations and disaster recovery procedures for critical systems
• Manage virtualized environments using VMware vSphere or Hyper-V platforms
• Configure and maintain network services including DNS, DHCP, and file sharing services
• Implement and maintain endpoint security solutions and antivirus systems
• Create and maintain system documentation, procedures, and configuration standards
• Conduct security assessments and vulnerability management for Windows infrastructure
• Coordinate with cybersecurity teams to implement security controls and incident response procedures
• Manage software deployment, updates, and licensing compliance across the enterprise
• Provide technical support and troubleshooting for end users and system issues
• Participate in change management processes and maintain system configuration baselines
• Collaborate with network administrators and other IT teams for integrated system solutions

Required Qualifications

• Bachelor's degree in Information Technology, Computer Science, or related technical field
• Active TS/SCI security clearance with ability to maintain clearance eligibility
• 3+ years of experience in Windows system administration in enterprise environments
• Strong expertise in Windows Server operating systems (2016, 2019, 2022)
• Proven experience with Active Directory administration, group policy management, and domain services
• Knowledge of virtualization technologies (VMware vSphere, Hyper-V)
• Understanding of network protocols, services, and Windows networking fundamentals
• Experience with PowerShell scripting for automation and system management
• Familiarity with backup and recovery solutions (Veeam, Windows Server Backup)
• Knowledge of cybersecurity principles and experience implementing security controls
• Understanding of STIG compliance and government security standards

Preferred Qualifications

• Experience working in classified or government environments with security protocols
• Microsoft certifications (MCSA, MCSE, Azure Administrator, or equivalent)
• Knowledge of configuration management tools (SCCM, Ansible, Puppet)
• Experience with cloud platforms and hybrid environments (Azure, AWS)
• Understanding of containerization technologies (Docker, Kubernetes)
• Familiarity with monitoring and logging tools (SCOM, Splunk, ELK stack)
• Experience with database administration (SQL Server, Oracle)
• Knowledge of Linux/Unix systems for hybrid environment management
• Understanding of ITIL processes and service management frameworks
• Experience with enterprise security tools (SIEM, vulnerability scanners, endpoint protection)
• Familiarity with compliance frameworks (NIST, FedRAMP, FISMA)
• CompTIA Security+, CISSP, or other cybersecurity certifications
• Experience with automation and infrastructure as code practices
• Knowledge of network security appliances and firewall management
• Background in DevOps practices and CI/CD pipeline integration

Full Description

Join our advanced analytics team to develop and deploy cutting-edge artificial intelligence and machine learning solutions for tracking systems and radar data analysis. We're seeking an experienced AI/ML Engineer to design intelligent algorithms that can process complex sensor data, improve target tracking accuracy, and extract actionable insights from large-scale radar datasets. You'll work with state-of-the-art ML frameworks and collaborate with domain experts to solve challenging problems in signal processing, pattern recognition, and predictive analytics for tracking applications.

Responsibilities

• Design and implement machine learning models for target detection, classification, and tracking in radar data
• Develop deep learning architectures for automated pattern recognition and anomaly detection in sensor data
• Build and optimize tracking algorithms using Kalman filters, particle filters, and advanced state estimation techniques
• Create data preprocessing pipelines for radar signal conditioning, feature extraction, and data fusion
• Implement computer vision techniques for target identification and behavioral analysis from tracking data
• Develop real-time ML inference systems for low-latency tracking and detection applications
• Design and train neural networks for time-series prediction and trajectory forecasting
• Build automated feature engineering pipelines to extract meaningful patterns from complex radar signatures
• Implement reinforcement learning algorithms for adaptive tracking and dynamic sensor management
• Collaborate with radar engineers and domain experts to understand system requirements and constraints
• Optimize ML models for deployment on edge computing platforms and real-time processing systems
• Conduct experiments and A/B testing to validate model performance and tracking accuracy improvements
• Develop model evaluation frameworks and performance metrics specific to tracking applications
• Create data visualization tools and dashboards for monitoring system performance and tracking analytics

Required Qualifications

• Master's degree in Computer Science, Data Science, Electrical Engineering, or related technical field
• 3+ years of experience in machine learning, artificial intelligence, or data science
• Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn)
• Experience with tracking algorithms, state estimation, or time-series analysis
• Knowledge of signal processing fundamentals and experience working with sensor data
• Proven experience with deep learning architectures (CNNs, RNNs, LSTMs, Transformers)
• Understanding of computer vision techniques and image/signal processing libraries (OpenCV, scipy)
• Experience with data preprocessing, feature engineering, and model optimization techniques
• Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices
• Strong programming skills and experience with version control systems (Git)
• Understanding of statistical analysis, probability theory, and experimental design

Preferred Qualifications

• Specific experience with radar data analysis, signal processing, or tracking systems
• Knowledge of Kalman filtering, particle filtering, and Bayesian estimation techniques
• Background in reinforcement learning and multi-agent systems for tracking applications
• Experience with real-time ML inference and edge computing deployment
• Understanding of sensor fusion techniques and multi-modal data integration
• Familiarity with distributed computing frameworks (Spark, Dask) for large-scale data processing
• Experience with model deployment using containerization (Docker, Kubernetes)
• Knowledge of time-series forecasting and sequential pattern recognition
• Background in computer vision applications for surveillance or tracking systems
• Experience with AutoML tools and hyperparameter optimization techniques
• Understanding of explainable AI techniques and model interpretability
• Familiarity with streaming data processing and real-time analytics platforms
• Experience with geospatial analysis and Geographic Information Systems (GIS)
• Knowledge of electronic warfare, radar countermeasures, or defense applications
• Publication record or demonstrated expertise in ML applications to tracking or radar systems

Full Description

Join our advanced radar research team to develop cutting-edge algorithms and enhance existing HF radar capabilities for target detection and geolocation applications. We're seeking an experienced HF Radar Scientist to lead algorithm development initiatives, advance parametric estimation and detection (PED) techniques, and implement innovative solutions for improving radar system performance. You'll work at the forefront of radar technology, developing sophisticated algorithms that leverage Known Reference Points (KRPs) and advanced signal processing techniques to achieve superior target characterization and geolocation accuracy.

Responsibilities

• Develop and implement advanced HF radar algorithms for target detection, tracking, and classification
• Analyze and enhance existing radar processing algorithms to improve system performance and accuracy
• Research and develop advanced HF Parametric Estimation and Detection (PED) techniques for target characterization
• Design algorithms that utilize Known Reference Points (KRPs) to enhance geolocation accuracy and system calibration
• Conduct theoretical analysis and modeling of HF radar propagation characteristics and ionospheric effects
• Implement signal processing algorithms for clutter suppression, interference mitigation, and target extraction
• Develop adaptive filtering techniques to optimize radar performance in varying environmental conditions
• Create simulation frameworks and validation tools to test algorithm performance under diverse scenarios
• Collaborate with hardware engineers to optimize algorithm implementation for real-time processing systems
• Perform statistical analysis of radar data to validate algorithm effectiveness and identify improvement opportunities
• Document algorithm specifications, theoretical foundations, and implementation guidelines
• Present research findings and algorithm recommendations to technical teams and stakeholders
• Conduct literature reviews and stay current with advances in HF radar technology and signal processing
• Mentor junior scientists and contribute to technical knowledge sharing across the organization

Required Qualifications

• PhD in Electrical Engineering, Physics, Mathematics, or related technical field with focus on radar/signal processing
• 5+ years of experience in HF radar systems, algorithm development, or radar signal processing
• Deep understanding of HF radar principles, propagation theory, and ionospheric modeling
• Proven experience developing and implementing radar detection and tracking algorithms
• Strong background in Parametric Estimation and Detection (PED) techniques and statistical signal processing
• Experience with Known Reference Point (KRP) methodologies for geolocation and system calibration
• Proficiency in MATLAB, Python, or C++ for algorithm development and simulation
• Strong mathematical foundation in statistics, linear algebra, and digital signal processing
• Experience with radar data analysis, performance evaluation, and algorithm validation
• Understanding of adaptive filtering, spectral estimation, and time-frequency analysis techniques

Preferred Qualifications

• Experience with Over-the-Horizon (OTH) radar systems and skywave propagation modeling
• Knowledge of ionospheric physics and HF propagation prediction models (VOACAP, PROPLAB-PRO)
• Background in machine learning techniques applied to radar signal processing
• Experience with real-time signal processing implementation and optimization
• Familiarity with multi-static radar systems and distributed sensing architectures
• Understanding of electronic warfare (EW) techniques and radar countermeasures
• Experience with Geographic Information Systems (GIS) and geospatial analysis
• Knowledge of target recognition algorithms and feature extraction techniques
• Background in Doppler processing, coherent integration, and pulse compression techniques
• Experience with high-performance computing (HPC) and parallel algorithm implementation
• Familiarity with software-defined radio (SDR) platforms and development environments
• Publication record in peer-reviewed journals or conference proceedings in radar/signal processing
• Experience with agile development methodologies and collaborative research environments
• Understanding of system engineering principles and requirements analysis for radar systems

Full Description

Join our specialized engineering team to develop high-performance applications focused on signal processing, data validation, and process optimization. We're seeking an experienced Software Developer with strong technical skills in C++/Qt, Python, and MATLAB to build robust data processing pipelines and validation frameworks. You'll be working in a collaborative Agile environment where your expertise in rapid prototyping, signal analysis, and containerized deployment will drive critical improvements to our data processing capabilities.

Responsibilities

• Design and develop desktop applications using C++/Qt for signal processing and data visualization
• Build automated data validation frameworks and quality assurance pipelines using Python
• Develop and prototype signal processing algorithms using MATLAB for research and analysis
• Create rapid scripting solutions to automate manual processes and improve operational efficiency
• Implement data validation rules, anomaly detection, and quality metrics for large datasets
• Containerize applications using Docker for consistent deployment across environments
• Deploy and manage containerized solutions using Kubernetes in production environments
• Collaborate with cross-functional teams using Agile methodologies and sprint-based development
• Optimize existing processes through code refactoring, algorithm improvements, and automation
• Develop comprehensive unit tests and validation suites to ensure data integrity and software reliability
• Create technical documentation, process improvement reports, and algorithm specifications
• Monitor system performance and implement optimizations for real-time signal processing applications
• Participate in code reviews, design sessions, and continuous improvement initiatives
• Mentor team members on best practices for signal processing and data validation techniques

Required Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or related technical field
• 3+ years of experience in software development with focus on data processing or signal analysis
• Strong proficiency in C++ programming and Qt framework for desktop application development
• Solid experience with Python for scripting, automation, and data validation frameworks
• Working knowledge of MATLAB for algorithm development and signal processing
• Hands-on experience with Docker containerization and application packaging
• Practical experience with Kubernetes for container orchestration and deployment
• Proven experience working in Agile development environments (Scrum/Kanban)
• Strong understanding of data validation principles, quality assurance, and testing methodologies
• Experience with signal processing concepts, digital filters, and algorithm optimization
• Demonstrated ability in rapid prototyping and scripting for process automation

Preferred Qualifications

• Advanced knowledge of digital signal processing (DSP) algorithms and implementation
• Experience with scientific computing libraries (NumPy, SciPy, Pandas, OpenCV)
• Knowledge of additional programming languages (Java, C#, or JavaScript)
• Experience with version control systems (Git) and collaborative development workflows
• Familiarity with continuous integration/continuous deployment (CI/CD) pipelines
• Understanding of statistical analysis, machine learning, or data science techniques
• Experience with real-time data processing and streaming analytics
• Knowledge of database systems (SQL/NoSQL) for large-scale data storage and retrieval
• Familiarity with cloud platforms (AWS, Azure, GCP) and cloud-native development
• Experience with performance profiling and optimization of computationally intensive applications
• Understanding of software testing frameworks and test-driven development (TDD)
• Background in telecommunications, radar, sonar, or other signal processing domains
• Experience with parallel computing, GPU programming, or high-performance computing (HPC)
• Agile certification (CSM, PSM) or demonstrated leadership in process improvement initiatives

Full Description

Join our dynamic development team to build scalable, high-performance applications using modern technologies and best practices. We're seeking an experienced Software Developer to contribute to full-stack development projects, work with distributed systems, and help drive our technical innovation forward. You'll be working in a collaborative Agile environment where your expertise in React, Node.js, and enterprise-grade technologies will make a direct impact on our products and services.

Responsibilities

• Design and develop responsive web applications using React, HTML5, CSS3, and modern JavaScript frameworks
• Build and maintain RESTful APIs and microservices using Node.js/Express.js and Java
• Develop and optimize database schemas, queries, and stored procedures in PostgreSQL
• Implement event-driven architectures using Apache Kafka for real-time data streaming
• Deploy and manage containerized applications using Kubernetes in cloud environments
• Collaborate with cross-functional teams in an Agile/Scrum development methodology
• Participate in code reviews, technical design sessions, and sprint planning meetings
• Write comprehensive unit tests, integration tests, and maintain high code quality standards
• Troubleshoot and resolve complex technical issues across the full application stack
• Implement CI/CD pipelines and DevOps best practices for automated testing and deployment
• Monitor application performance and implement optimizations for scalability
• Mentor junior developers and contribute to technical documentation and knowledge sharing

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or related technical field
• 3+ years of experience in full-stack software development
• Strong proficiency in React.js, including hooks, state management, and component lifecycle
• Solid experience with Node.js and Express.js for backend development
• Hands-on experience with PostgreSQL database design, optimization, and administration
• Working knowledge of Java for enterprise application development
• Experience with Apache Kafka for event streaming and message processing
• Practical experience with Kubernetes for container orchestration and deployment
• Proven experience working in Agile development environments (Scrum/Kanban)
• Strong understanding of RESTful API design principles and microservices architecture
• Experience with version control systems (Git) and collaborative development workflows

Preferred Qualifications

• Experience with RTI DDS (Data Distribution Service) for real-time distributed systems
• Knowledge of additional JavaScript frameworks (Vue.js, Angular) or TypeScript
• Experience with cloud platforms (AWS, Azure, GCP) and cloud-native development
• Familiarity with monitoring and observability tools (Prometheus, Grafana, ELK stack)
• Experience with automated testing frameworks (Jest, Cypress, JUnit)
• Knowledge of message queuing systems beyond Kafka (RabbitMQ, Redis)
• Understanding of security best practices and implementation in web applications
• Experience with NoSQL databases (MongoDB, Cassandra) and data modeling
• Familiarity with infrastructure as code tools (Terraform, Ansible)
• Experience with performance optimization and system scalability
• Knowledge of DevOps practices and CI/CD pipeline implementation
• Agile certification (CSM, PSM) or demonstrated leadership in Agile practices

Full Description

As a Geospatial Intelligence (GEOINT) Analyst, you will be responsible for providing imagery & geospatial production support to the National Air & Space Intelligence Center's GEOINT Analysis Squadron (NASIC/GSI). You will work on third-phase exploitation and reporting on GEOINT imagery related to mission areas such as Ballistic Missiles, Aerodynamic Weapon Systems, C4I, and Integrated Air Defense Systems. Your tasks will include processing, exploitation, and dissemination (PED) of various imagery systems including panchromatic, SAR, BISAR, thermal, spectral, and commercial sensor data.

Responsibilities

• Achieve and maintain certifications in accordance with NASIC/GS training and standardization/evaluation program.
• Perform third-phase exploitation and reporting on GEOINT imagery.
• Process, exploit, and disseminate imagery from various systems.
• Collaborate with all-source customers, image scientists, and collection offices.
• Support 24x7 operations based on mission requirements.
• Provide planning and execution of call-in plans for crisis or high-profile events.
• Produce intelligence products including Cedalion Database Entries, Annotated Image Graphics, Structured Observation Management (SOM) Database Entries, GEOINT Notes, Mensuration Database Entries, and BISAR Feedback.
• Adhere to ICD and NGA standards, GEOINT Analysis Squadron Daily Operations Directive, and quality control processes.

Required Qualifications

• Junior Level: Bachelor's degree in a relevant field (e.g., Geography, Geospatial Intelligence, Remote Sensing), and 1-2 years of related experience
• Mid Level: Bachelor's degree and 3-7 years of related experience
• Senior Level: Bachelor's degree and 8+ years of related experience
• Expert Level: Bachelor's degree and 15+ years of related experience
• Experience with processing and analyzing GEOINT imagery sensor data.
• Strong understanding of intelligence community standards and directives.
• Active TS/SCI clearance with the ability to obtain and maintain a Counter-Intelligence (CI) Polygraph.

Preferred Qualifications

• Clear and effective written and oral communication with team members and customers.
• Comfortable working with a team to achieve project completion.
• Keen attention to detail.
• Proficiency using MS Office Suite.

Full Description

Join G3 in facilitating the modernization of geospatial analytic tradecraft and supporting analytic workflows for the National Geospatial-Intelligence Agency's Analysis Directorate. Act as a technical liaison between office-level leaders, individual analysts, and customers to promote and implement changes.

Responsibilities

• Detect, analyze, and document intelligence observations.
• Develop tradecraft policies, standard operating procedures (SOPs), and training materials.
• Lead and manage a Community of Practice to promote collaboration and innovation.
• Facilitate training and collaboration sessions with a focus on improving analytic workflows.
• Customize workflows to meet unique customer needs and enhance analytic processes.
• Coordinate with NGA infrastructure technical personnel and program offices to integrate new methodologies and tools.
• Serve as a technical subject matter expert on geospatial data analysis and make recommendations to optimize data access and visibility.
• Implement and manage cloud-based storage systems in classified/unclassified environments.
• Perform data cleaning and preprocessing tasks using Python scripting.
• Handle spatial data file formats (TIF, GeoJSON, CSV, Raster) and data type conversions.
• Leverage data analytics software platforms to improve analytic workflows.

Required Qualifications

• College degree (B.S.) in Geography, Geospatial Sciences, or other STEM discipline.
• Active TS/SCI Clearance with CI Polygraph.
• 6+ Years Experience in geospatial analysis or a related field.

Preferred Qualifications

• Experience in developing and implementing tradecraft policies and SOPs.
• Background in instruction, facilitation, and project planning.
• Understanding of cloud architecture to implement cloud-based storage systems in classified/unclassified environments.
• Knowledge of the Python language for data cleaning and preprocessing.
• Experience with spatial data file formats and data type conversions (e.g., TIF, GeoJSON, CSV, Raster).
• Understanding of geospatial analysis software and practices.
• Experience and/or interest in leading a Community of Practice to promote collaboration and innovation.
• Experience with activity-based intelligence (ABI) and/or structured observation management (SOM).

Full Description

Join G3 in facilitating the modernization of geospatial analytic tradecraft and supporting analytic workflows for the National Geospatial-Intelligence Agency's Analysis Directorate. Act as a technical liaison between office-level leaders, individual analysts, and customers to promote and implement changes.

Responsibilities

• Detect, analyze, and document intelligence observations.
• Develop tradecraft policies, standard operating procedures (SOPs), and training materials.
• Lead and manage a Community of Practice to promote collaboration and innovation.
• Facilitate training and collaboration sessions with a focus on improving analytic workflows.
• Customize workflows to meet unique customer needs and enhance analytic processes.
• Coordinate with NGA infrastructure technical personnel and program offices to integrate new methodologies and tools.
• Serve as a technical subject matter expert on geospatial data analysis and make recommendations to optimize data access and visibility.
• Implement and manage cloud-based storage systems in classified/unclassified environments.
• Perform data cleaning and preprocessing tasks using Python scripting.
• Handle spatial data file formats (TIF, GeoJSON, CSV, Raster) and data type conversions.
• Leverage data analytics software platforms to improve analytic workflows.

Required Qualifications

• College degree (B.S.) in Geography, Geospatial Sciences, or other STEM discipline.
• Active TS/SCI Clearance with CI Polygraph.
• 6+ Years Experience in geospatial analysis or a related field.

Preferred Qualifications

• Experience in developing and implementing tradecraft policies and SOPs.
• Background in instruction, facilitation, and project planning.
• Understanding of cloud architecture to implement cloud-based storage systems in classified/unclassified environments.
• Knowledge of the Python language for data cleaning and preprocessing.
• Experience with spatial data file formats and data type conversions (e.g., TIF, GeoJSON, CSV, Raster).
• Understanding of geospatial analysis software and practices.
• Experience and/or interest in leading a Community of Practice to promote collaboration and innovation.
• Experience with activity-based intelligence (ABI) and/or structured observation management (SOM).

Full Description

G3 is looking for a Data Scientist to develop methods for querying, visualizing, aggregating, correlating, and analyzing big data across intelligence disciplines. Optimize databases, expose new datasets, build custom tools, and apply mathematical concepts to solve complex geospatial intelligence analysis problems.

Responsibilities

• Develop methods for querying, visualizing, aggregating, correlating, and analyzing big data across intel disciplines
• Optimize existing databases to speed up the query, input, export and visualization of data
• Work with AOS and AOB teams to develop strategies for exposing new datasets and create migration plans for legacy datasets
• Build custom solutions (tools, processes, etc.) to automate or assist analytic endeavors as submitted by AOS and AOB leadership and analytic units
• Write scripts in Visual Basic, R, Python or other software for statistical models using large datasets to extract patterns, relationships, and anticipatory behaviors that are repeatable, efficient, and enable hypothesis testing and knowledge capture
• Use mathematical concepts and techniques to solve complex GEOINT analysis problems
• Utilize ArcGIS, Excel, SPSS, SAS, MATLAB, R and other statistical packages to analyze and visualize operational data
• Visualize data both temporally and spatially to assist in data integrity checks, prepare follow-on analysis, ask the next question, and display analytical assessments
• Maintain, move and manipulate data between applications using SQL databases, ArcServer, table data, relational/NoSQL DBMS, Excel, Access, Tableau, Insights, Oracle
• Develop tradecraft techniques and training solutions for discovery, preparation, manipulation and normalization of big data so that methods are repeatable and can be explained to users

Required Qualifications

• Active TS/SCI security clearance
• Bachelor's degree in Computer Science, Mathematics, Statistics, or related technical field required; Master's degree preferred
• 3+ years of experience in data science, data analysis, or related field
• Strong proficiency in SQL and relational database concepts
• Experience with statistical programming languages such as R, Python, MATLAB
• Knowledge of geospatial analysis concepts and tools such as ArcGIS
• Familiarity with big data technologies like Hadoop, Spark, NoSQL databases
• Excellent problem-solving skills and ability to develop innovative solutions
• Strong verbal and written communication skills

Preferred Qualifications

• 5+ years of experience in data science, preferably in the intelligence community
• Experience working with geospatial intelligence data and products
• Knowledge of NGA's mission, organization, and functions
• Familiarity with IC data sources, tools, and analytic methodologies
• Experience developing and deploying machine learning models
• Ability to collaborate effectively in cross-functional teams
• Strong leadership skills and ability to mentor junior analysts

Full Description

Are you passionate about cutting-edge technology and solving complex problems? Join Gateway Geospatial Group (G3) as a Software Engineer and be part of an exciting new initiative. G3 is a dynamic startup specializing in geospatial technology, modern application development, cloud services, and data analytics. As a Software Engineer, you will have the opportunity to work on innovative architectures and contribute to the development of advanced applications using data modeling, machine learning, and data visualization techniques. Be part of our agile team and shape the future of geospatial technology.

Responsibilities

• Take ownership of the application, including the user experience and creating sharp and responsive features.
• Develop an existing application capable of supporting tens of thousands of map data points and multiple configurable data sources.
• Collaborate to make open source capabilities available to restricted network users.
• Contribute to the design, development, testing, and integration of the application to achieve mission goals.

Required Qualifications

• Active Top Secret clearance with SCI eligibility.
• Proven experience in developing software using modern languages such as Python, Java, and JavaScript.
• Familiarity with JavaScript frameworks like Angular.
• Experience in developing and implementing software enhancements for mission systems.
• Ability to work collaboratively in a team-oriented environment.
• Adaptability and willingness to learn new technologies.
• Experience in writing or contributing to end development and deployment instructions.
• Proficiency in Agile-based software development methodologies.
• Ability to develop innovative solutions.
• Experience in developing enterprise systems using multiple technologies.

Preferred Qualifications

• Experience with cloud services and technologies, particularly in the geospatial domain.
• Knowledge of geospatial technologies and data visualization techniques.
• Experience with DevOps practices and tools for continuous integration and deployment.
• Understanding of data modeling, machine learning, and artificial intelligence concepts.
• Certifications in relevant programming languages or frameworks.

Full Description

Are you passionate about cutting-edge technology and solving complex problems? Join Gateway Geospatial Group (G3) as a Software Engineer and be part of an exciting new initiative. G3 is a dynamic startup specializing in geospatial technology, modern application development, cloud services, and data analytics. As a Software Engineer, you will have the opportunity to work on innovative architectures and contribute to the development of advanced applications using data modeling, machine learning, and data visualization techniques. Be part of our agile team and shape the future of geospatial technology.

Responsibilities

• Take ownership of the application, including the user experience and creating sharp and responsive features.
• Develop an existing application capable of supporting tens of thousands of map data points and multiple configurable data sources.
• Collaborate to make open source capabilities available to restricted network users.
• Contribute to the design, development, testing, and integration of the application to achieve mission goals.

Required Qualifications

• Active Top Secret clearance with SCI eligibility.
• Proven 1-6 years experience in developing software using modern languages such as Python, Java, and JavaScript.
• Familiarity with JavaScript frameworks like Angular.
• Experience in developing and implementing software enhancements for mission systems.
• Ability to work collaboratively in a team-oriented environment.
• Adaptability and willingness to learn new technologies.
• Experience in writing or contributing to end development and deployment instructions.
• Proficiency in Agile-based software development methodologies.
• Ability to develop innovative solutions.
• Experience in developing enterprise systems using multiple technologies.

Preferred Qualifications

• Experience with cloud services and technologies, particularly in the geospatial domain.
• Knowledge of geospatial technologies and data visualization techniques.
• Experience with DevOps practices and tools for continuous integration and deployment.
• Understanding of data modeling, machine learning, and artificial intelligence concepts.
• Certifications in relevant programming languages or frameworks.

Full Description

Gateway Geospatial Group (G3) is on the lookout for an Analytic Modernization Specialist to fortify our team of dedicated experts. This role is pivotal in pioneering analytical advancements and driving the satisfaction of our intelligence community clientele through state-of-the-art methodologies. The Analytic Modernization Specialist will be integral in blending analytics, innovative tools, and dynamic visualizations to facilitate rapid, data-driven decisions and intelligence operations.

Responsibilities

• Employ advanced analytic methodologies to meet and exceed customer satisfaction.
• Integrate analytics, tools, and visualizations for accelerated data-driven analysis.
• Modernize analytical processes and databases through data mining and manipulation.
• Utilize COTS/GOTS software for advanced data analysis and pattern recognition.
• Conduct GEOINT/SIGINT analysis using multi-disciplinary, Spatio-temporal intelligence.
• Lead high-caliber technical and analytical teams in solving complex intelligence problems.

Required Qualifications

• Mandatory TS/SCI Clearance.
• Bachelor's Degree in Math or Science-related field, or 7+ years of pertinent experience.
• Proven experience in executing advanced analytics to enhance customer deliverables.
• Proficiency in database management and the modernization of analytical methodologies.
• Experience with analysis software such as JEMA, brewlytics, or Arc Model Builder.
• Capacity to oversee sophisticated analysis and research across various intelligence disciplines.

Preferred Qualifications

• Experience in automating processes with R, Python, JAVA, SQL, HTML, or equivalent.
• Expertise in constructing and sustaining databases for GEOINT, SIGINT, or OSINT.
• Ability to extract and analyze intelligence data for visualization and modeling.
• Competence in delivering articulate and precise intelligence analyses and products.
• Prompt production of GEOINT analysis on military and humanitarian issues.
• Proven track record in systems enhancements and capability development.

Full Description

Gateway Geospatial Group (G3) is on the lookout for an Analytic Modernization Specialist to fortify our team of dedicated experts. This role is pivotal in pioneering analytical advancements and driving the satisfaction of our intelligence community clientele through state-of-the-art methodologies. The Analytic Modernization Specialist will be integral in blending analytics, innovative tools, and dynamic visualizations to facilitate rapid, data-driven decisions and intelligence operations.

Responsibilities

• Employ advanced analytic methodologies to meet and exceed customer satisfaction.
• Integrate analytics, tools, and visualizations for accelerated data-driven analysis.
• Modernize analytical processes and databases through data mining and manipulation.
• Utilize COTS/GOTS software for advanced data analysis and pattern recognition.
• Conduct GEOINT/SIGINT analysis using multi-disciplinary, Spatio-temporal intelligence.
• Lead high-caliber technical and analytical teams in solving complex intelligence problems.

Required Qualifications

• Mandatory TS/SCI Clearance.
• Bachelor's Degree in Math or Science-related field, or 7+ years of pertinent experience.
• Proven experience in executing advanced analytics to enhance customer deliverables.
• Proficiency in database management and the modernization of analytical methodologies.
• Experience with analysis software such as JEMA, brewlytics, or Arc Model Builder.
• Capacity to oversee sophisticated analysis and research across various intelligence disciplines.

Preferred Qualifications

• Experience in automating processes with R, Python, JAVA, SQL, HTML, or equivalent.
• Expertise in constructing and sustaining databases for GEOINT, SIGINT, or OSINT.
• Ability to extract and analyze intelligence data for visualization and modeling.
• Competence in delivering articulate and precise intelligence analyses and products.
• Prompt production of GEOINT analysis on military and humanitarian issues.
• Proven track record in systems enhancements and capability development.

Full Description

Gateway Geospatial Group (G3) is on the lookout for an Analytic Modernization Specialist to fortify our team of dedicated experts. This role is pivotal in pioneering analytical advancements and driving the satisfaction of our intelligence community clientele through state-of-the-art methodologies. The Analytic Modernization Specialist will be integral in blending analytics, innovative tools, and dynamic visualizations to facilitate rapid, data-driven decisions and intelligence operations.

Responsibilities

• Employ advanced analytic methodologies to meet and exceed customer satisfaction.
• Integrate analytics, tools, and visualizations for accelerated data-driven analysis.
• Modernize analytical processes and databases through data mining and manipulation.
• Utilize COTS/GOTS software for advanced data analysis and pattern recognition.
• Conduct GEOINT/SIGINT analysis using multi-disciplinary, Spatio-temporal intelligence.
• Lead high-caliber technical and analytical teams in solving complex intelligence problems.

Required Qualifications

• Mandatory TS/SCI Clearance.
• Bachelor's Degree in Math or Science-related field, or 7+ years of pertinent experience.
• Proven experience in executing advanced analytics to enhance customer deliverables.
• Proficiency in database management and the modernization of analytical methodologies.
• Experience with analysis software such as JEMA, brewlytics, or Arc Model Builder.
• Capacity to oversee sophisticated analysis and research across various intelligence disciplines.

Preferred Qualifications

• Experience in automating processes with R, Python, JAVA, SQL, HTML, or equivalent.
• Expertise in constructing and sustaining databases for GEOINT, SIGINT, or OSINT.
• Ability to extract and analyze intelligence data for visualization and modeling.
• Competence in delivering articulate and precise intelligence analyses and products.
• Prompt production of GEOINT analysis on military and humanitarian issues.
• Proven track record in systems enhancements and capability development.

Full Description

Gateway Geospatial Group (G3) is seeking an Electromagnetic Signature Analysis Engineer to conduct advanced computational modeling of radar cross-section (RCS) and high-range resolution (HRR) signatures using specialized electromagnetic software tools. The ideal candidate will have experience with commercial and government CEM codes, strong knowledge of electromagnetic theory, and the ability to produce detailed technical analyses and reports while working on both classified and unclassified projects in a Linux environment.

Responsibilities

• Apply Computational Electromagnetics software and theory to predict the RCS and HRR signatures of complex targets under varying conditions, configurations, and modeling parameters to meet intelligence production requirements
• Produce specialized analyses and reports supporting signature predictions, data quality assessment, modeling methods extensions, and capability assessments
• Conduct analyses employing commercial-off-the-shelf and government-off-the-shelf CEM codes on compute clusters and government high-performance computing assets, managing multiple computational workflows from geometry generation through post processing and reporting

Required Qualifications

• US Citizen, as contract requires
• Familiarity with the calculation of RCS and HRR profiles
• Ability to work in a Linux environment
• Ability to work independently and in a team environment
• Strong oral and written communication skills

Preferred Qualifications

• Significant experience using CEM codes including Xpatch, CREATE-RF SENTRi or commercial capability equivalents with physical optics, method-of-moments, and finite-element solvers such as HFSS, FEKO, or CST Microwave Studio.
• Advanced knowledge and/or education in EM theory including rigorous and approximate solutions to Maxwell's equations, techniques and applications of RCS modeling, or compact range measurement.
• Advanced knowledge and/or education in RCS, HRR, and SAR signal processing
• BS in Electrical Engineering, Physics, or related discipline

Full Description

G3 is looking for a Data Scientist to develop methods for querying, visualizing, aggregating, correlating, and analyzing big data across intelligence disciplines. Optimize databases, expose new datasets, build custom tools, and apply mathematical concepts to solve complex geospatial intelligence analysis problems.

Responsibilities

• Develop methods for querying, visualizing, aggregating, correlating, and analyzing big data across intel disciplines
• Optimize existing databases to speed up the query, input, export and visualization of data
• Work with AOS and AOB teams to develop strategies for exposing new datasets and create migration plans for legacy datasets
• Build custom solutions (tools, processes, etc.) to automate or assist analytic endeavors as submitted by AOS and AOB leadership and analytic units
• Write scripts in Visual Basic, R, Python or other software for statistical models using large datasets to extract patterns, relationships, and anticipatory behaviors that are repeatable, efficient, and enable hypothesis testing and knowledge capture
• Use mathematical concepts and techniques to solve complex GEOINT analysis problems
• Utilize ArcGIS, Excel, SPSS, SAS, MATLAB, R and other statistical packages to analyze and visualize operational data
• Visualize data both temporally and spatially to assist in data integrity checks, prepare follow-on analysis, ask the next question, and display analytical assessments
• Maintain, move and manipulate data between applications using SQL databases, ArcServer, table data, relational/NoSQL DBMS, Excel, Access, Tableau, Insights, Oracle
• Develop tradecraft techniques and training solutions for discovery, preparation, manipulation and normalization of big data so that methods are repeatable and can be explained to users

Required Qualifications

• Active TS/SCI security clearance
• Bachelor's degree in Computer Science, Mathematics, Statistics, or related technical field required; Master's degree preferred
• 3+ years of experience in data science, data analysis, or related field
• Strong proficiency in SQL and relational database concepts
• Experience with statistical programming languages such as R, Python, MATLAB
• Knowledge of geospatial analysis concepts and tools such as ArcGIS
• Familiarity with big data technologies like Hadoop, Spark, NoSQL databases
• Excellent problem-solving skills and ability to develop innovative solutions
• Strong verbal and written communication skills

Preferred Qualifications

• 5+ years of experience in data science, preferably in the intelligence community
• Experience working with geospatial intelligence data and products
• Knowledge of NGA's mission, organization, and functions
• Familiarity with IC data sources, tools, and analytic methodologies
• Experience developing and deploying machine learning models
• Ability to collaborate effectively in cross-functional teams
• Strong leadership skills and ability to mentor junior analysts

Full Description

G3 is looking for a Data Scientist to develop methods for querying, visualizing, aggregating, correlating, and analyzing big data across intelligence disciplines. Optimize databases, expose new datasets, build custom tools, and apply mathematical concepts to solve complex geospatial intelligence analysis problems.

Responsibilities

• Develop methods for querying, visualizing, aggregating, correlating, and analyzing big data across intel disciplines
• Optimize existing databases to speed up the query, input, export and visualization of data
• Work with AOS and AOB teams to develop strategies for exposing new datasets and create migration plans for legacy datasets
• Build custom solutions (tools, processes, etc.) to automate or assist analytic endeavors as submitted by AOS and AOB leadership and analytic units
• Write scripts in Visual Basic, R, Python or other software for statistical models using large datasets to extract patterns, relationships, and anticipatory behaviors that are repeatable, efficient, and enable hypothesis testing and knowledge capture
• Use mathematical concepts and techniques to solve complex GEOINT analysis problems
• Utilize ArcGIS, Excel, SPSS, SAS, MATLAB, R and other statistical packages to analyze and visualize operational data
• Visualize data both temporally and spatially to assist in data integrity checks, prepare follow-on analysis, ask the next question, and display analytical assessments
• Maintain, move and manipulate data between applications using SQL databases, ArcServer, table data, relational/NoSQL DBMS, Excel, Access, Tableau, Insights, Oracle
• Develop tradecraft techniques and training solutions for discovery, preparation, manipulation and normalization of big data so that methods are repeatable and can be explained to users

Required Qualifications

• Active TS/SCI security clearance
• Bachelor's degree in Computer Science, Mathematics, Statistics, or related technical field required; Master's degree preferred
• 3+ years of experience in data science, data analysis, or related field
• Strong proficiency in SQL and relational database concepts
• Experience with statistical programming languages such as R, Python, MATLAB
• Knowledge of geospatial analysis concepts and tools such as ArcGIS
• Familiarity with big data technologies like Hadoop, Spark, NoSQL databases
• Excellent problem-solving skills and ability to develop innovative solutions
• Strong verbal and written communication skills

Preferred Qualifications

• 5+ years of experience in data science, preferably in the intelligence community
• Experience working with geospatial intelligence data and products
• Knowledge of NGA's mission, organization, and functions
• Familiarity with IC data sources, tools, and analytic methodologies
• Experience developing and deploying machine learning models
• Ability to collaborate effectively in cross-functional teams
• Strong leadership skills and ability to mentor junior analysts