Full-Stack Geospatial Data Engineer
dClimate is a climate-intelligence company providing decentralized climate data, analytics, and applications for assessing physical climate risk, monitoring crops and carbon, and accessing climate datasets. Its products serve businesses, governments, researchers, developers, insurers, and other organizations that need climate-risk and sustainability insights.
Funding
Investors
Projects
About dClimate
dClimate provides decentralized climate-data infrastructure and climate-intelligence applications. Its offerings include Aegis for physical climate-risk assessment, Siren for climate forecasts and alerts, CYCLOPS for carbon and deforestation monitoring, and a marketplace for accessing, contributing, and monetizing verified climate datasets. The company serves businesses, governments, researchers, developers, insurers, asset owners, and organizations working with climate risk, operations, carbon markets, and sustainability.
Skills
About the Role
You'll design everything from ingestion of raw Sentinel/Landsat scenes to the API that powers on-chain carbon registries and dashboards. You'll architect satellite-image processing pipelines and microservices that expose results via GraphQL/REST, build dashboards in Next.js/React and geospatial APIs in Node/Python/FastAPI, automate infrastructure with IaC and CI/CD, and establish engineering best practices while mentoring future engineers.
Requirements
- Fluent across the stack: Python for data and Typescript, React/Next.js, Node.js
- Data-infrastructure chops: Dask/DuckDB; S3 & object-store patterns
- Experience with data pipelining and orchestration tools like Prefect
- Experience with columnar formats (Parquet, Arrow) and chunked stores (Zarr, Cloud-Optimized GeoTIFF)
- Experience with 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: distributed systems, eventual consistency, and data-versioning at petabyte-plus scale
- Bias for action and ambiguity tolerance
- Mission-driven interest in fighting climate change
Responsibilities
- Architect end-to-end systems for satellite-image processing pipelines (STAC → xarray → Parquet/Zarr/IPFS)
- Design microservices that expose results via GraphQL/REST
- Build dashboards in Next.js/React
- Build geospatial APIs in Node/Python/FastAPI
- Automate infrastructure with IaC (Terraform/Pulumi) and CI/CD
- Implement robust orchestration using Prefect
- Profile memory and I/O to keep petabyte workflows affordable
- Establish engineering best practices and run code reviews
- Recruit and mentor the next generation of engineers
Benefits
- Remote-first, async-friendly culture with team members and hubs in Europe and USA
- Stipend for hardware, conferences, and learning
