Data Engineer
Core
Build and operate data infrastructure to ingest, transform, and deliver reliable data for scientific and operational analysis.
Role type
Mid-level production data engineer
Builds
Data pipelines, orchestrated workflows, and data warehouse models
Domain
Climate science, geospatial data, and environmental operations
Deliverable
production ML models
Required skills
Python, SQL, data pipeline development, workflow orchestration, relational databases, data warehousing, software engineering fundamentals
Preferred skills
dbt, cloud platforms (AWS/GCP), containerization, infrastructure as code, geospatial data tools
Technologies
Airflow, Dagster, Prefect, PostGIS, GDAL, GeoPandas, rasterio, Zarr, STAC
Responsibilities
Build and maintain data pipelines from diverse sources; develop orchestrated workflows for ingestion and transformation; design data warehouse models; implement automated testing and monitoring; investigate data quality issues; build reusable integrations; collaborate on productionizing datasets for analysis.
Seniority
Mid-level, hands-on IC