Data Engineer

Required skills

5+ years of experience in Data Engineering, with a proven track record of building scalable production systems, Geospatial & remote sensing expertise, Expertise in python & SQL, AI-Driven engineering, Architectural vision, Rigorous data modeling, Infrastructure fluency, Mission-driven

Preferred skills

Technologies

Python (expert level), SQL (GIS), Bash, GDAL/OGR, Rasterio, Shapely, Fiona, PyProj, Geopandas, GeoTIFF / COG, GeoParquet, LAS/LAZ, Zarr, Vector Tiles, Temporal.io, Airflow or Dagster, LLM orchestration, vector databases, prompt engineering for ETL, Docker, kubernetes, terraform, dbt, metabase, open-source observability tools

Responsibilities

Build intelligent ingestion, Implement self-adjusting pipelines, Geospatial processing & tiling, Own the analytics stack, Quantify product value, Lead data modeling, Cross-functional collaboration, Production ownership, Tech advocacy

Seniority

Domain

Energy transition, geology, AI, data science