Remote Geospatial Data Engineer — Germany-wide

Orcrist Technologies GmbH; United States; Remote; USD 101,000 - 169,000; Full time

Benefits offered by this job

Remote-first, Germany-wide

Flexible working hours

Home-office equipment budget

30 days vacation

Performance bonuses

Welcome goodie bag

Job summary

Orcrist is building a next generation data intelligence platform. You will develop ingestion, processing, cataloging, and serving capabilities for geospatial and satellite imagery data using Python and Go, spanning provider integrations and large raster/vector pipelines.

You will work with GDAL/Rasterio, GeoPandas and Shapely, and implement STAC/pgSTAC cataloging with PostGIS, while leveraging cloud-like object storage and efficient tiling strategies.

Qualifications

• Several years of data or backend engineering experience, with substantial hands-on work on geospatial data.
• Strong Python skills and practical Go experience for services, integrations, or processing infrastructure.
• Experience with GDAL/Rasterio and vector tooling such as GeoPandas, Shapely, or equivalent libraries.
• Strong SQL and PostgreSQL/PostGIS knowledge, including spatial indexes, query planning, and efficient bulk loading.
• Experience handling formats such as GeoTIFF, GeoJSON, GeoPackage, and Shapefile, with CRS, nodata, and resampling awareness.
• Experience with object storage and automated pipelines, including failure recovery, deduplication, metadata validation, and reproducible outputs.
• Clear communication in English and an ability to agree data contracts with scientific and application teams.

Responsibilities

• Build provider integrations for imagery search, acquisition, download, and delivery tracking.
• Ingest optical, multispectral, thermal, and SAR products from various sources and manage metadata.
• Develop raster ETL for metadata extraction, coordinate transformation, reprojection, resampling, mosaicking, and COG creation.
• Build vector pipelines for geometry validation, schema normalization, spatial partitioning, indexing, and GeoParquet/PMTiles production.
• Implement imagery cataloging with STAC/pgSTAC and spatial data services with PostGIS.
• Design storage and delivery paths using S3-compatible buckets, HTTP range requests, and caching/tiling strategies.
• Integrate processing with Sentinel orchestration, ensure resumable, retry-safe, observable workflows.
• Track freshness, completeness, lineage, and processing cost; diagnose delivery issues and bottlenecks.

Skills

Python

Go

SQL

PostGIS

GDAL/Rasterio

GeoPandas/Shapely

Linux

Containers/Docker

Tools

GeoPandas

Shapely

PostGIS

Job description

Orcrist is building a next generation data intelligence platform. You will develop ingestion, processing, cataloging, and serving capabilities for geospatial and satellite imagery data using Python and Go, spanning provider integrations and large raster/vector pipelines.

You will work with GDAL/Rasterio, GeoPandas and Shapely, and implement STAC/pgSTAC cataloging with PostGIS, while leveraging cloud-like object storage and efficient tiling strategies.