The First Decentralized Network for Climate Data
Full-Stack Geospatial Data Engineer
Location
Worldwide
Posted
67 days ago
Salary
$40K - $110K / year
Seniority
Senior
Job Description
Full-Stack Geospatial Data Engineer
dClimate
• Architect end-to-end systems: Design satellite-image processing pipelines (STAC → xarray → Parquet/Zarr/IPFS) and the microservices that expose results via GraphQL/REST • Ship product features: Build dashboards in Next.js/React and geospatial APIs in Node/Python/FastAPI that climate-finance customers love • Scale & harden: Automate everything with IaC (Terraform/Pulumi), CI/CD, and robust orchestration using Prefect. Profile memory & I/O to keep petabyte workflows affordable • Lead & mentor: Establish engineering best practices, run code reviews, and recruit the next generation of Cyclops engineers
Job Requirements
- Fluent across the stack: Python for data and Typescript, React/Next.js, Node.js
- Data-infrastructure chops: Dask/DuckDB; S3 & object-store patterns; Data pipelining with orchestration tools like Prefect, columnar formats (Parquet, Arrow) and chunked stores (Zarr, Cloud-Optimized GeoTIFF), Docker
- GIS / remote-sensing know-how: Google Earth Engine, QGIS, Rasterio, GDAL, PROJ, xarray, GeoPandas, STAC, EO tiling schemes
- Cloud & DevOps: Docker, IaC, Prefect, AWS compute services and observability (Prometheus/Grafana, OpenTelemetry)
- Systems thinking: Comfortable reasoning about distributed systems, eventual consistency, and data-versioning at petabyte-plus scale
- Bias for action & ambiguity tolerance: You turn half-written Notion docs into shipped features without hand-holding
- Mission-driven: You want your work to fight climate change
Benefits
- Stipend for hardware, conferences, and learning
- Remote-first, async-friendly culture
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