You’ll develop geospatial data pipelines that ingest, analyze, and distribute satellite data globally. Your work will directly support flood monitoring and parametric claims processes.
Key Responsibilities:
- Build scalable pipelines to process Earth Observation data (Sentinel, MODIS, etc.)
- Develop tools for flood detection and time-series analysis
- Work with cloud platforms (AWS/GCP) to manage geospatial services
- Ensure model outputs are accurate, optimized, and well-integrated
Qualifications:
- Strong Python skills and experience with GDAL, Rasterio, or GeoPandas
- Cloud-native application development using Docker, Lambda, etc.
- Familiarity with remote sensing data and geospatial APIs
About Company
Founded from Google AI research, Floodbase combines a decade of scientific innovation with deep industry partnerships. Our platform powers flood coverage in vulnerable regions, empowering clients such as Swiss Re, AXA Climate, and FEMA. Our investors include Lowercarbon Capital, Ecosystem Integrity Fund, and Collaborative Fund. We are on a mission to make flood risk measurable — and insurable — anywhere on Earth.