Fullstack Geospatial Data Engineer

Full-Stack Geospatial Data Engineer

Company

dClimate Inc.

Conditions

5 days agoSeniorSalary: 40K - 110KAnywhere Remote Full Time Fullstack Jobs by dClimate Inc.

dClimate Inc. dClimate provides precise, decentralized climate data solutions that empower businesses and governments to reduce risks, ensure compliance, and make faster decisions. Their tools offer real-time, actionable insights that traditional platforms cannot, helping clients manage climate challenges effectively. Distributed Funding Seed ($3.5T) Investors Multicoin Capital CoinFund Projects dClimate About dClimate Inc. dClimate is a company that simplifies climate data to help businesses and governments make informed decisions about climate risks. They offer a decentralized platform and specialized applications like CYCLOPS for tracking carbon emissions, Aegis for mitigating location-based climate risks, and Siren for real-time crop alerts. Their Data Marketplace allows users to access, contribute, and monetize high-quality climate data. dClimate aims to empower businesses, researchers, and policymakers with reliable, comprehensive, and actionable climate insights, leveraging partnerships with industry leaders to stay ahead of climate challenges. View jobs by dClimate Inc.

Skills

Arrow Aws Cloud-Optimized Geotiff Code Review Dask Data Pipeline Data Versioning Distributed Systems Docker Duckdb Eo Tiling Fastapi Gdal Geopandas Geospatial Data Pipeline Google Earth Engine Grafana Graphql Mentoring Next.Js Node.Js Opentelemetry Pandas Parquet Prefect Proj Prometheus Pulumi Python Qgis Rasterio React Rest S3 Satellite Imagery Snowflake Stac Terraform Typescript Xarray Zarr

About the Role

You'll design everything from ingestion of raw Sentinel/Landsat scenes to the API that powers on-chain carbon registries and dashboards. You'll architect satellite-image processing pipelines and microservices that expose results via GraphQL/REST, build dashboards in Next.js/React and geospatial APIs in Node/Python/FastAPI, automate infrastructure with IaC and CI/CD, and establish engineering best practices while mentoring future 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
• Experience with data pipelining and orchestration tools like Prefect
• Experience with columnar formats (Parquet, Arrow) and chunked stores (Zarr, Cloud-Optimized GeoTIFF)
• Experience with 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: distributed systems, eventual consistency, and data-versioning at petabyte-plus scale
• Bias for action and ambiguity tolerance
• Mission-driven interest in fighting climate change

Responsibilities

• Architect end-to-end systems for satellite-image processing pipelines (STAC → xarray → Parquet/Zarr/IPFS)
• Design microservices that expose results via GraphQL/REST
• Build dashboards in Next.js/React
• Build geospatial APIs in Node/Python/FastAPI
• Automate infrastructure with IaC (Terraform/Pulumi) and CI/CD
• Implement robust orchestration using Prefect
• Profile memory and I/O to keep petabyte workflows affordable
• Establish engineering best practices and run code reviews
• Recruit and mentor the next generation of engineers

Benefits

• Remote-first, async-friendly culture with team members and hubs in Europe and USA
• Stipend for hardware, conferences, and learning

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