Full-Stack Geospatial Data Engineer

dClimate is seeking a Full-Stack Geospatial Data Engineer to join their mission of transforming petabytes of Earth observation imagery into actionable climate metrics. This role offers a unique opportunity to work on Cyclops, an AI-powered platform that measures and verifies natural capital at scale. The position combines full-stack development with specialized geospatial data processing, requiring expertise in both modern web technologies and big data infrastructure.

The role involves architecting end-to-end systems for satellite image processing, building user-facing dashboards, and developing robust APIs that power climate finance applications. You'll work with cutting-edge technologies across the stack, from TypeScript and React on the frontend to Python and Node.js for backend services, handling petabyte-scale data workflows using tools like Apache Airflow, Parquet, and Google Earth Engine.

As a senior member of the team, you'll have the opportunity to shape the technical direction of the platform, establish engineering best practices, and mentor future team members. The position offers significant impact potential, as your work will directly contribute to verifiable nature-based climate projects handling millions of tonnes of CO₂ equivalent.

The ideal candidate brings a strong foundation in full-stack development, data infrastructure, and GIS/remote-sensing, combined with a passion for fighting climate change. You'll work in a remote-first environment alongside academics and industry experts, with the freedom to choose and implement modern technical solutions without legacy constraints.

Benefits include competitive compensation with equity, a flexible remote work culture, and professional development support through stipends for hardware and conferences. This role presents an exceptional opportunity to make a meaningful impact on climate change while working with cutting-edge technology in a rapidly evolving field.