Description
At OpenAI, our User Safety & Risk Operations (USRO) team helps protect our products and users from abuse, fraud, safety risks, and other forms of misuse.
You'll build and maintain the data pipelines and shared datasets that teams across USRO use for analysis, measurement, and automation.
In this role, you'll:
- Work with USRO teams to understand their data needs and define requirements for datasets and reporting.
- Build, maintain, and monitor production data pipelines and Airflow DAGs, including scheduling, dependencies, backfills, and troubleshooting failures.
- Build and maintain reusable data models, reporting cubes, and shared operational reporting metrics.
- Set up data quality and freshness checks, document lineage and ownership, and make the work supportable after handoff.
- Document data sources and transformations.
You might thrive in this role if you:
- Have strong SQL skills and practical experience using Python to build and maintain data pipelines.
- Have built and debugged scheduled pipelines that other people depend on.
- Have practical understanding of data modeling, joins, deduplication, tests, and monitoring.
- Ability to trace a surprising metric back to its inputs and explain what downstream users can and can't conclude.
- Experience partnering with non-engineers to turn ambiguous needs into dependable data products.
Nice to have:
- Experience with Airflow or similar workflow orchestration tools.
- Experience transferring prototypes or new workflows into reliable, scaled operations.
OpenAI offers a salary of $189K - $252K.
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