Senior Geospatial Data Engineer

CACI International•Denver, CO

2d•$108,400 - $227,500

About The Position

CACI’s AGIS Release Train delivers geospatial data infrastructure and analytical capabilities used by NGA analysts. The team works with open-source geospatial technology and intelligence workflows, building data pipelines, visualization tools, and analytical environments that turn raw geospatial data into decision-support capabilities. The Senior Geospatial Data Engineer leads pipeline development, tool integration, and visualization delivery across a FOSS4G-centric technology stack. The role works directly with NGA mission users and AGIS delivery teams to shape how intelligence professionals use geospatial data, from ingestion through analyst-facing visualization. The position requires an active TS/SCI clearance with polygraph, and is contingent on funding; it may not be filled immediately. Applications may also be considered for other CACI positions.

Requirements

Active TS/SCI clearance and polygraph; the posting lists the polygraph as preferred.
At least 7 years of software or data engineering experience, including at least 5 years in geospatial domains.
Proficiency in the Python geospatial stack, including GDAL, Fiona, Shapely, GeoPandas, and Rasterio.
Strong Jupyter Notebook development experience for analytical and mission workflows.
Working knowledge of the FOSS4G ecosystem, including QGIS, GeoServer, MapServer, and GRASS.
Production-environment experience with GeoParquet or columnar formats.
ArcGIS Server and ArcGIS Enterprise administration experience.
B.S. in Geography, GIS, Computer Science, or a related field; equivalent experience is accepted.

Nice To Haves

Familiarity with OGC service standards, including WMS, WFS, and WCS.
Experience operating within SAFe or Agile delivery frameworks.

Responsibilities

Design and deliver end-to-end geospatial data pipelines from ingestion through analyst-facing visualization, using GDAL/OGR-based transformation and processing across diverse data formats.
Develop and maintain Python-based analytical environments using Jupyter Notebooks tailored to NGA mission-user workflows.
Manage GeoParquet datasets within the program’s data lake architecture and implement and extend columnar-format pipelines for production use.
Administer ArcGIS Server services and portal configurations, integrating them with 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.