Geospatial Data Engineer - Remote-First in Germany

orcristtechnologies; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote-first arrangement

40 days of paid leave

Equipment and learning support

Job summary

orcristtechnologies is seeking a backend engineer to help build the geospatial backbone of a data intelligence platform. You will integrate imagery providers, design raster and vector pipelines, and ensure scalable storage and delivery of large geospatial assets.

Responsibilities include STAC cataloging, PostGIS-based workflows, and containerized services on Linux, with emphasis on Python and Go, GIS formats, and Earth observation expertise.

Qualifications

• Several years of data or backend engineering experience with substantial hands-on work on geospatial or Earth observation data.
• Strong Python skills plus practical Go experience for services, integrations, or processing infrastructure.
• Working knowledge of raster tooling (GDAL, Rasterio) and vector libraries such as GeoPandas or Shapely.
• Solid SQL and PostgreSQL/PostGIS expertise, including spatial indexing, query planning, and bulk loading.
• Familiarity with GeoTIFF, GeoJSON, GeoPackage, and Shapefile, with sound understanding of coordinate reference systems, nodata handling, and geometry validity.
• Experience running containerized services on Linux with automated tests and monitoring; eligibility to work in Germany and clear English communication.

Responsibilities

• Wire up provider integrations for imagery search, acquisition, download, and delivery tracking, handling authentication, rate limits, retries, and inconsistent vendor metadata.
• Build raster ETL pipelines covering metadata extraction, reprojection, resampling, mosaicking, cloud-optimized outputs, overviews, and quality checks across optical, multispectral, thermal, and SAR products.
• Design vector pipelines for geometry validation, schema normalization, spatial partitioning, indexing, and the production of efficient columnar geospatial assets.
• Implement imagery cataloging using STAC-compatible tooling and spatial data services on PostGIS, preserving footprints, acquisition metadata, lineage, and access controls.
• Engineer storage and delivery paths over S3-compatible object stores with range requests, caching, and tiling strategies suited to large rasters.
• Monitor freshness, completeness, lineage, and cost, and diagnose malformed deliveries, catalog inconsistencies, and processing bottlenecks.

Skills

Python

Go

SQL

Tools

GDAL

Rasterio

GeoPandas

Shapely

PostGIS

Job description

orcristtechnologies is seeking a backend engineer to help build the geospatial backbone of a data intelligence platform. You will integrate imagery providers, design raster and vector pipelines, and ensure scalable storage and delivery of large geospatial assets.

Responsibilities include STAC cataloging, PostGIS-based workflows, and containerized services on Linux, with emphasis on Python and Go, GIS formats, and Earth observation expertise.