Data Engineer
Core
Architect the data engine powering a Geology OS, processing planetary-scale datasets (satellite imagery, LiDAR, geological surveys) into structured databases for global mining operations.
Role type
Senior Data Engineer (Geospatial & AI)
Builds
Intelligent data pipelines, geospatial processing systems, and sovereign open-source analytics stack.
Domain
Mining exploration, Geospatial data, Remote sensing
Deliverable
production ML models | infrastructure
Required skills
Python (expert), SQL (GIS), Geospatial data processing (raster/vector/point clouds), GenAI/LLM integration, Data warehousing, Kubernetes, Cloud infrastructure
Preferred skills
Temporal.io, Airflow/Dagster, Vector databases, Prompt engineering for ETL
Technologies
GDAL/OGR, Rasterio, GeoTIFF/COG, GeoParquet, LAS/LAZ, Zarr, Docker, Terraform, dbt, Metabase
Responsibilities
Design and scale robust data ingestion pipelines from diverse sources; Integrate GenAI/LLMs to handle schema shifts and unstructured document extraction; Architect high-performance systems for raster processing and vector tiling; Deploy and operate data services in production ensuring high availability; Design and maintain scalable data schemas as the single source of truth; Build data models and dashboards to quantify platform value.
Seniority
Senior, hands-on IC