Geospatial Data Engineer: Build Scalable Pipelines & Tiles

Basepoint; San Francisco, Northern (CA, KY); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Basepoint is seeking a Data Engineer to own ingestion, normalization, tiling, and refresh of national geospatial data layers. You will build pipelines for federal, state, utility, and commercial sources into PostGIS while normalizing diverse schemas and documenting field provenance.

You will generate vector tiles and server-side queries, design integrity checks, and assume runbooks when data sources shift. Strong SQL, PostGIS, and Python/TypeScript are required, with tiling experience a must.

Qualifications

• Four or more years in data engineering with substantial geospatial work.
• Strong SQL and PostGIS, plus Python or TypeScript for pipeline code.
• Experience with tiling (PMTiles, MVT, or similar), coordinate reference systems, and large raster or vector datasets.

Responsibilities

• Own the pipelines that ingest, normalize, tile, and refresh geospatial layers.
• Build ingestion pipelines for federal, state, utility, and commercial sources into PostGIS.
• Normalize heterogeneous schemas into stable internal models and document provenance.
• Generate and serve vector tiles and server-side screening queries at national scale.
• Design freshness and integrity checks and maintain runbooks when sources change.

Job description

Basepoint is seeking a Data Engineer to own ingestion, normalization, tiling, and refresh of national geospatial data layers. You will build pipelines for federal, state, utility, and commercial sources into PostGIS while normalizing diverse schemas and documenting field provenance.

You will generate vector tiles and server-side queries, design integrity checks, and assume runbooks when data sources shift. Strong SQL, PostGIS, and Python/TypeScript are required, with tiling experience a must.