Painted Desert, Arizona, USA

United States Geological Survey

Geospatial Data Engineer

Geospatial Data Engineer

  • Development experience in Python – either a Computer Science or scientific computing background or demonstrated professional experience in team-oriented software development using GitHub or other source control systems
  • Experience working in with cloud tools and infrastructure (with preference for experience with Google Cloud)
  • Experience with common geospatial and scientific Python libraries: GDAL, Rasterio, GeoPandas, NumPy, SciPy, and others
  • Comfort with common geospatial data types: both raster (GeoTIFF/COG/ZARR/NetCDF/GRIB) and vector (SHP/GeoJSON/others)
  • Experience or background in any of the following is a big plus: BigQuery, Dask, ZARR, STAC, data visualization, remote sensing, meteorological data production
  • Deep educational experience in a specific geoscience domain is not necessary
  • Very strong attention to detail
  • A thought process towards generalization and reducing future data or technology debt
  • Comfort with data from a wide variety of geoscience domains
  • Excellent communication skills (spoken and written)
  • Bachelor’s degree in mathematics, statistics, computer science or related field
  • Two to three years’ experience working with large data analysis
  • Any experience in remote sensing, geospatial data science, geographic information systems or equivalent field would be preferred but not mandatory
  • Proactive, self-starter, able to work independently and drive results
  • Critical thinking and strong organizational skills

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