LS
Remote Full-Stack Geospatial Data Engineer
- Hiring from
- United States
- Work type
- Remote
- Posted
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We are seeking a full-stack data engineer to develop and enhance an AI-driven geospatial platform focused on climate and natural capital monitoring.
- Responsibilities: Design satellite data pipelines, develop APIs and microservices, build user-facing dashboards, automate workflows with IaC and orchestration tools, and lead engineering best practices.
- Qualifications: Proficiency in Python, Typescript, React/Next.js, Node.js; experience with data infrastructure (Dask, S3, Parquet), GIS tools (GeoPandas, Rasterio), cloud services, and distributed systems; strong problem-solving skills and a mission-driven mindset.
- Desirable skills: Experience with team leadership, GPU processing, machine learning, and environmental science knowledge.
This role offers remote work, impact at scale, opportunities for mentorship, and contribute to innovative climate solutions through geospatial data and technology.
