We are looking for a hands-on full-stack data engineer to advance CYCLOPS across the full stack, from APIs and geospatial data pipelines to frontend tools used by carbon project developers, investors, buyers, and agricultural companies.
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
- Remote-first, async-friendly culture with team members and hubs in Europe and USA
- Stipend for hardware, conferences, and learning
- The chance to write the playbook for geospatial data in decentralized climate finance
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