Data Engineer – People Innovation Labs

About the role

OpenAI’s People Innovation Labs is seeking a Data Engineer to build and operate data‑intensive systems that power internal people products and support People Analytics. You will work closely with product engineers, People Analytics, and leadership to turn business strategy into reliable data pipelines.

Key responsibilities

• Design, build, and maintain people‑data pipelines feeding the Databricks warehouse.
• Create canonical datasets to track core people and product metrics.
• Collaborate with Data Platform, Data Science, People Analytics, Compensation, and Equity teams to understand and fulfill data needs.
• Implement robust, fault‑tolerant ingestion and processing workflows.
• Contribute to data architecture decisions as the primary data‑engineering expert.
• Ensure data security, integrity, and compliance with industry and company standards.

Required profile

• 3+ years of experience as a Data Engineer.
• 8+ years of overall software engineering experience.
• Proficiency in at least one core data‑engineering language (Python, Scala, or Java).
• Hands‑on experience with Databricks, Snowflake, and modern ETL orchestration tools.

Required skills

• Python
• Scala
• Java
• Databricks
• Snowflake
• Fivetran
• Airflow
• Dagster
• Prefect