Full-Stack Geospatial Data Engineer
New
D
dClimateGeospatial Intelligence
Remote-first, async-friendly culture with team members and hubs in Europe and USA. We also welcome global candidates.Full-TimeMiddle
Salary40,000 - 110,000 USD per year
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Job Details
- Required Skills
- AWSNode.jsPythonTypeScriptFastAPINext.jsReactTerraform
Requirements
- Proficiency in Python, TypeScript, React, Next.js, and Node.js.
- Experience with Dask, DuckDB, and data pipelining using Prefect.
- Knowledge of columnar formats (Parquet, Arrow) and chunked stores (Zarr, Cloud-Optimized GeoTIFF).
- Expertise in GIS and remote sensing tools: GEE, QGIS, Rasterio, GDAL, PROJ, xarray, GeoPandas, STAC.
- Experience with Docker, IaC, and AWS compute services.
- Familiarity with monitoring and observability tools like Prometheus, Grafana, and OpenTelemetry.
- Ability to reason about distributed systems and eventual consistency.
- Experience with petabyte-scale data versioning.
Responsibilities
- Design satellite-image processing pipelines using STAC, xarray, and Parquet/Zarr/IPFS.
- Develop microservices to expose results via GraphQL/REST.
- Build frontend dashboards using Next.js and React.
- Create geospatial APIs using Node.js, Python, and FastAPI.
- Automate infrastructure using IaC like Terraform or Pulumi.
- Implement CI/CD and orchestration with Prefect.
- Profile memory and I/O for petabyte-scale data workflows.
- Lead engineering initiatives, conduct code reviews, and mentor team members.
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