Full-Stack Geospatial Data Engineer

Responsibilities

• Architect end-to-end satellite-image processing pipelines (STAC to xarray to Parquet/Zarr/IPFS)
• Build and ship product features including Next.js/React dashboards and geospatial APIs using Node, Python, or FastAPI
• Scale and harden infrastructure using IaC, CI/CD, and orchestration tools like Prefect
• Profile memory and I/O to maintain affordable petabyte-scale workflows
• Establish engineering best practices, conduct code reviews, and mentor future engineers

Requirements

• Proficiency in Python (for data) and TypeScript, React/Next.js, and Node.js
• Experience with data infrastructure including Dask, DuckDB, S3, and columnar formats like Parquet or Arrow
• Strong GIS and remote-sensing knowledge using tools such as xarray, GeoPandas, STAC, Rasterio, or GDAL
• Hands-on experience with Docker, AWS compute services, and orchestration via Prefect
• Ability to reason about distributed systems and data-versioning at petabyte-plus scale
• A mission-driven mindset focused on fighting climate change

Preferred Qualifications

• Experience leading small teams or owning large-scale production systems
• Knowledge of GPU-accelerated image processing (cuDF, RAPIDS, TorchGeo)
• Machine Learning expertise and MLOps experience (PyTorch/TensorFlow)
• Background in carbon/MRV methodologies or environmental/agricultural science

Benefits

• Remote-first, async-friendly work culture
• Competitive salary (US-based range: $40,000 - $110,000, depending on experience and location)
• Stipends for hardware, conferences, and continuous learning
• Opportunity to work with top-tier academics and shape the future of climate finance

About the Company

dClimate is building EarthOS, an AI-powered climate and geospatial intelligence platform. Through our CYCLOPS platform, we turn satellite and environmental data into actionable insights for carbon project developers, investors, and insurers, helping to ensure climate finance flows to where it is needed most.