dClimate
11 - 50 employees
dClimate is the world’s first transparent, decentralized marketplace where climate data, forecasts, and models are standardized, monetized, and distributed. The marketplace connects data publishers directly with data consumers, making climate data more accessible and reliable. When data providers share data and forecasts with the market it is automatically scored for reliability, which helps consumers to shop for information. In exchange, dClimate creates a simple, direct-to-consumer distribution mechanism to monetize their work.
Full-Stack Geospatial Data Engineer
Job not on LinkedIn
🔥 9 minutes ago
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dClimate
11 - 50 employees
dClimate is the world’s first transparent, decentralized marketplace where climate data, forecasts, and models are standardized, monetized, and distributed. The marketplace connects data publishers directly with data consumers, making climate data more accessible and reliable. When data providers share data and forecasts with the market it is automatically scored for reliability, which helps consumers to shop for information. In exchange, dClimate creates a simple, direct-to-consumer distribution mechanism to monetize their work.
📋 Description
• 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
🎯 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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