Data Engineer
Summary
Design, build, and operate ETL/ELT pipelines and cloud data warehouses (BigQuery, Snowflake, Redshift) to deliver clean, reliable data to AI systems, analysts, and products. Day to day involves SQL/Python work, orchestration with tools like Airflow or dbt, and data quality/observability.
Build the data backbone that everything else runs on. You'll design and operate the pipelines, models and warehouses that make clean, reliable data available to our AI systems, analysts and products.
What you'll do:
- Design, build and maintain robust ETL/ELT pipelines
- Model and manage data in cloud warehouses (BigQuery, Snowflake, Redshift or similar)
- Ensure data quality, reliability and observability across the platform
- Partner with data scientists and ML engineers to serve the data they need
What we're looking for:
- Strong SQL and Python
- Experience with orchestration tools (Airflow, dbt or equivalent)
- Familiarity with cloud data warehouses and batch/stream processing
- A pragmatic, ownership-driven approach to reliable data infrastructure