Full-Stack Geospatial Data Engineer

Job Description

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

• 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

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

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

#CrossChannelJobs #JobSearch
#CareerOpportunities #HiringNow
#Employment #JobOpenings
#JobSeekers
#FacebookLinkedIn