Senior Geospatial Data Engineer

CACI InternationalDenver, CO

About The Position

CACI's AGIS Release Train delivers the geospatial data infrastructure and analytical capabilities that NGA analysts rely on every day to drive intelligence decisions. Our team operates at the intersection of cutting-edge open-source geospatial technology and mission-critical intelligence workflows — building the pipelines, visualization tools, and analytical environments that transform raw geospatial data into decision advantage. As a Senior Geospatial Data Engineer, you will lead pipeline development, tool integration, and visualization capability delivery across a FOSS4G-centric stack. You will work directly with NGA mission users and AGIS delivery teams to shape how intelligence professionals interact with geospatial data — from ingest all the way to analyst-facing visualization.

Requirements

  • Active TS/SCI clearance
  • 8+ years of software or data engineering experience, with at least 5 years in geospatial domains
  • Proficiency in the Python geospatial stack: GDAL, Fiona, Shapely, GeoPandas, Rasterio
  • Strong Jupyter Notebook development experience for analytical and mission workflows
  • Working knowledge of the FOSS4G ecosystem (QGIS, GeoServer, MapServer, GRASS)
  • GeoParquet/columnar format experience in production environments
  • ArcGIS Server and ArcGIS Enterprise administration
  • B.S. in Geography, GIS, Computer Science, or related field (equivalent experience accepted)

Nice To Haves

  • Familiarity with OGC service standards (WMS, WFS, WCS)
  • Experience operating within SAFe or Agile delivery frameworks
  • CI Poly clearance

Responsibilities

  • Design and deliver end-to-end geospatial data pipelines from ingest through analyst-facing visualization, leveraging GDAL/OGR-based transformation and processing across diverse data formats
  • Develop and maintain Python-based analytical environments via Jupyter Notebooks tailored to NGA mission user workflows
  • Manage GeoParquet datasets within the program's data lake architecture; implement and extend columnar format pipelines for production use
  • Administer ArcGIS Server services and portal configurations; integrate with the FOSS4G toolchain including QGIS, GeoServer, and MapServer
  • Collaborate with the AGIS Search team on spatial data indexing and AI-assisted retrieval integration
  • Lead technical refinement sessions and provide PI Planning input on data engineering epics and cross-team dependencies

Benefits

  • Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives.
  • We offer competitive compensation, benefits and learning and development opportunities.
  • Our broad and competitive mix of benefits options is designed to support and protect employees and their families.
  • At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service