Jobs at CTS Corporation

Lead modernization of the Census Bureau's geospatial systems (MAF/TIGER) by overseeing cloud transformation, application development, program governance, risk management, stakeholder engagement, and cross-functional team leadership to ensure cost, schedule, and performance objectives are met.

Lead program management for Census geospatial modernization, overseeing application and cloud transformation, governance, risk, cost/schedule/performance, stakeholder engagement, and cross-functional team alignment to deliver mission-critical geospatial systems.

Maintain and harden MCIA's enterprise geodatabase infrastructure: improve performance, manage ingest/export workflows, backup/restore, integrate multiple geodata schemas (USMC Ground Warfighter, TDS, NSG), implement security hardening, troubleshoot complex issues, and support engineers and analysts relying on classified geospatial data. Requires deep ESRI enterprise geodatabase and Oracle experience.

Deployed GEOINT imagery analyst providing real-time geospatial intelligence to military and government decision-makers. Perform collection, processing, and analysis using GEOINT tools; produce HLZ, line-of-sight, and viewshed products; conduct ABI/PoL pattern analysis; support tactical and strategic operations during overseas rotations.

Manage and secure geospatial database architecture and data orchestration for The National Map. Collaborate with USGS partners and end users, develop automation and pipelines, and improve system reliability using Python, SQL/PostgreSQL, AWS, and CI/CD 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.

Design, support, and optimize data systems for environmental research. Manage PostgreSQL databases, write efficient SQL, automate workflows with Python, implement CI/CD using GitLab/GitHub, and deploy/scale services on AWS (EC2, S3, RDS). Ensure data integrity, performance, and reliable delivery across cloud and hybrid environments while collaborating with federal stakeholders and technical teams.

Maintain and harden an enterprise geospatial database architecture: improve geodatabase performance, manage data ingest/export, backup/restore, integrate multiple geospatial schemas, implement security hardening, and provide advanced troubleshooting for ESRI enterprise geodatabases and Oracle in support of DoD/IC missions.

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.

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.

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.

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.

Lead engineering and administration of ESRI enterprise geodatabases for MCIA: improve performance, data ingest/export, backup/recovery, integrate USMC/TDS/NSG schemas, implement security hardening, and provide advanced troubleshooting across classified networks.

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.