• Build and operate data pipelines that supply GEOINT services with accurate, compliant, and performant spatial data • Own ingestion, transformation, versioning, and distribution across cloud and air-gapped environments • Collaborate with Data Analytics Team in creating value adding data products • Develop ingestion pipelines using Python, GDAL, Rasterio, tippecanoe, and PostGIS for vector/raster/3D datasets • Automate tiling, generalization, and 3D tile generation (Cesium 3D Tiles, quantized mesh, terrain) with incremental update workflows • Implement data quality checks (topology validation, completeness, coordinate reference integrity) and provenance tracking (lineage metadata, checksums) • Manage storage lifecycle across cloud (S3/GCS) and on-prem object stores; optimize performance and cost • Package data for offline distribution (MBTiles, geopackages, zipped 3D tiles), including delta updates and secure transfer • Collaborate with Data Acquisition and Licensing to enforce usage rights, export control, and compliance • Monitor pipelines (Prometheus, Grafana), maintain runbooks, and participate in on-call/incident response • Own end-to-end sourcing of new geospatial datasets (commercial and freely available)