More jobs:
Application Developer; TS/SCI w/Poly – Geospatial Data & API D Security Clearance
Job in
Springfield, Fairfax County, Virginia, 22150, USA
Listed on 2025-12-11
Listing for:
D9Tech Resources, LLC
Full Time
position Listed on 2025-12-11
Job specializations:
-
IT/Tech
Data Engineer, AI Engineer
Job Description & How to Apply Below
Application Developer (TS/SCI w/ Poly) – Geospatial Data & API Development
Location:
Onsite – Herndon, VA & Springfield, VA (SCIF access required)
Clearance: TS/SCI with CI Polygraph (Must be active and customer-verified)
Duration: 2 Jan 2026 – 31 Jul 2026 (Extension Expected through 2027)
Hours:
Full-Time, 40 hours/week
Citizenship: U.S. Citizenship Required
Badge: IC Green Badge (can be provided via crossover) Overview:
We are seeking two highly capable Application Developers to join a classified program supporting geospatial data integration, API development, and secure data delivery. The developers will work from secure facilities in Springfield and Herndon, VA, collaborating on full-stack features and integrating complex geospatial data pipelines. Responsibilities:
Develop and maintain full-stack applications processing geospatial data Build APIs and integration workflows for data ingestion and transformation Leverage spatial libraries and file formats to process raster/vector data Implement CI/CD best practices and Python testing frameworks Collaborate closely with Dev Ops, security, and data engineering teams
Minimum Requirements:
Active TS/SCI with CI Poly, with Springfield Customer account access (SBU, SECNET, COE) Must be able to work in SCIF as required 7+ years of professional application development experience Strong proficiency in Python and modern frameworks (e.g., Flask, FastAPI)
Experience with geospatial libraries (GDAL, Geo Pandas, Shapely, etc.) Understanding of spatial formats and coordinate systems
Experience with API security, authentication, and documentation Git version control and familiarity with CI/CD pipelines Vector and raster data processing experience
Preferred Qualifications:
3+ years of MLOps or ML pipeline orchestration (Kubeflow, Airflow, MLflow) Containerized ML workload management with Docker and Kubernetes GPU optimization for inference containers Advanced data pipeline optimization and real-time serving ML observability and monitoring experience
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