Jobs at CTS Corporation

Administers and maintains Esri GIS applications and ArcGIS Enterprise components supporting the USGS National Map. Troubleshoots Windows 11 and Windows Server environments, applies security updates, addresses client-system vulnerabilities, and follows configuration management and version-control standards. The role also requires understanding GIS workflows and datasets, managing multiple assignments independently in a remote environment, and communicating effectively with stakeholders.

Perform geospatial science and cartographic work supporting USGS S1M Digital Elevation Model development. Apply GIS and cartographic concepts, work collaboratively on The National Map, and communicate clearly while meeting deadlines. Receive hands-on experience with ArcGIS and support geospatial data integration and quality deliverables.

Develop and enhance responsive web applications supporting The National Map and USGS geospatial data. Responsibilities include improving existing codebases, building user-focused interfaces, presenting geospatial information, creating scripted data-processing workflows, and documenting technical decisions. The role collaborates with a team and may use Python, modern JavaScript tools, mapping technologies such as ArcGIS JavaScript API, and AWS.

Design, refine, and operationalize GEOINT analytic models to convert inconsistent geospatial attributes into defensible scoring frameworks. Automate workflows, build dashboards, integrate models with analytic platforms, and collaborate with analysts and leadership to ensure methodological rigor and transparency.

Support NGA Office of Science and Methodologies to develop and document GEOINT methodologies and tradecraft. Integrate traditional and non-traditional NTM sensors into PED workflows, transform capabilities into repeatable workflows, support advanced GIS analysis and training, and collaborate with analysts, operators, technical experts, and leadership. Requires active TS/SCI and travel to support mission and training engagements.

Evaluate and validate AI-enabled GEOINT capabilities using operational electro-optical imagery. Design analytic methodologies and validation frameworks, analyze sensor/phenomenology impacts on algorithm performance, exploit EO imagery to assess algorithm outputs, and help NGA accredit mission-ready AI systems.

Design, refine, and operationalize geospatial analytic models to bring structure and defensibility to GEOINT. Extract, transform, and structure complex datasets using Python and SQL, integrate models with ArcGIS, automate workflows, build dashboards, and ensure GEOINT tradecraft integrity and transparency in scoring frameworks.

Develop and manage infrastructure dashboards, reports, and metrics for system performance and operational health. Administer Linux and Windows enterprise environments, support virtualized infrastructure, and use scripting, configuration management, and automation to streamline recurring processes. Monitor systems, troubleshoot issues, analyze operational data, improve reliability, and communicate technical findings and recommendations to stakeholders supporting USGS geospatial operations.

Develop and refine multi-source GEOINT collection strategies supporting the TCPED lifecycle and complex Intelligence Community missions. Evaluate collection effectiveness, identify capability gaps, support information need development, and apply phenomenology to GEOINT tasking and mission planning. Coordinate with NGA and other Intelligence Community organizations using GIMS. The role may also involve evaluating non-traditional NTM capabilities, creating training materials, and using vector data.

Supports the National Geospatial-Intelligence Agency by managing GEOINT collection and large multi-source mission datasets. Assesses sensor capabilities, develops automated collection strategies, evaluates model-output metrics, synchronizes mission requirements, identifies tasking conflicts, and collaborates with data scientists and intelligence stakeholders. The role also supports collection workflows, training objectives, sensor research, and operational GEOINT analysis.

Maintain and improve enterprise GIS geodatabase infrastructure supporting Marine Corps intelligence operations. Responsibilities include optimizing geodatabase performance, managing geospatial data across multiple schemas and classified networks, enhancing data ingest/export workflows, strengthening backup and recovery, implementing security hardening, resolving vulnerabilities, and troubleshooting complex database issues.

Support the Marine Corps Intelligence Activity’s enterprise geospatial architecture. Improve ESRI geodatabase performance, data ingest and export workflows, backup and recovery, schema integration, security hardening, vulnerability remediation, and advanced troubleshooting across classified networks. The role requires extensive GIS and ESRI enterprise geodatabase experience, Oracle expertise, active TS/SCI clearance, a bachelor’s degree with 12 years of relevant experience, and required cybersecurity, DBA, and ESRI certifications.

Transform analytical models into interactive GEOINT visualizations and analyst-facing interfaces, streamline production workflows, identify trends and insights, and operationalize geospatial data using Python, SQL, GIS tools, version control, and dashboarding frameworks to support mission-critical NGA/USSOCOM operations.

Build responsive single-page front-end components and interactive data visualizations for a production web application. Integrate with REST APIs and enterprise back-end services, improve usability, performance, and accessibility (Section 508), and support geospatial data workflows using modern JavaScript frameworks and tooling.

Design, secure, and manage enterprise-scale geodatabases for MCIA. Automate database processes, perform advanced spatial data modeling, optimize performance, and implement robust backup, recovery, and security procedures using ESRI geodatabase technology, PostgreSQL/SQL Server, Python, and SQL.

Support NGA analysts by designing scalable Python-driven data processes, performing exploratory and operational analyses, producing actionable insights and geospatial visualizations, and managing multiple projects to integrate findings into mission workflows.

Lead Systems Engineer to oversee migration to cloud-native environments, manage GEOTAM workflows, maintain/improve systems, provide technical and management leadership, interface with senior stakeholders, and ensure financial/staffing alignment for Census Bureau geography systems.

Support NGA mission operations by applying Python and SQL to analyze GEOINT and multi‑INT data, develop and test analytic methodologies and machine learning approaches, identify patterns across complex datasets, and deliver actionable intelligence to government stakeholders while maintaining accuracy and quality.

Serve as a GEOINT Data Steward managing enterprise geospatial data environments for NGA. Ensure data is organized, normalized, georeferenced, and discoverable. Apply RDBMS best practices, database performance tuning, and enterprise geodatabase (SDE) management. Collaborate with analysts, engineers, and stakeholders to improve data accessibility and operational effectiveness. Maintain metadata and extraction specifications and use ArcGIS Suite, ArcGIS Server, SQL/Oracle, Excel and Access to store, organize, and optimize spatial data for mission use.

Support NGA as a data scientist: clean and analyze messy datasets, design scalable Python solutions, produce operational visualizations and workflows, collaborate with analysts, identify trends/anomalies, and manage multiple projects to deliver mission-ready insights.