Full-Stack Geospatial Data Engineer

<h3>📋 Description</h3> • Own the product & the pipeline: You’ll design everything from ingestion of raw Sentinel/Landsat scenes to the API that powers on-chain carbon registries and dashboards. • Impact at scale: Each line of code helps move millions of tonnes of CO₂ equivalent through verifiable nature-based projects. • Novel technology: No legacy cruft. Pick the right datastores, cloud primitives, and CI/CD flows from day one. • Educational environment: You will work with professors and academics who are top of their fields so you understand the why, while doing the how. • Path to leadership: You’ll play a role in hiring and mentoring subsequent engineers, setting technical direction for years to come. • Architect end-to-end systems: Design satellite-image processing pipelines (GEE → 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 monitoring. Profile memory & I/O to keep petabyte workflows affordable. • Prototype & iterate: Turn vague carbon-methodology specs into data models, algorithms, and user-facing tools. • Lead & mentor: Establish engineering best practices, run code reviews, and recruit the next generation of Cyclops engineers. <h3>🎯 Requirements</h3> • Fluency across the stack: Typescript, React/Next.js, Node.js and Python for data/ML work. • Data-infrastructure chops: Dask/DuckDB; S3 & object-store patterns; Data pipelining with Apache Airflow, columnar formats (Parquet, Arrow) and chunked stores (Zarr, Cloud-Optimized GeoTIFF). • GIS / remote-sensing know-how: Google Earth Engine, QGIS, Rasterio, GDAL, PROJ, xarray, GeoPandas, STAC, EO tiling schemes, basic radiometric corrections. • Data Visualization skills: D3/Charts.js, Mapbox/Leaflet • Cloud & DevOps skills: Bare Metal/Linux, Docker, IaC, 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. <h3>🏖️ Benefits</h3> • Competitive salary + meaningful equity • 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.