Analytics Data Engineer
OpenAI is hiring an Analytics Data Engineer to lead the development of robust, scalable data pipelines and core data systems. This role is central to enabling data-driven decision-making across the organization, powering product insights, business growth, safety mechanisms, and research support. As part of the Applied AI Engineering team, you’ll collaborate with cross-functional groups including Product, Marketing, Infrastructure, Finance, and Research—contributing directly to the training of new models and responsible AI deployment. You’ll design systems that ensure data is accessible, trustworthy, and actionable, while helping build the future of AI applications. If you're experienced in large-scale data engineering, thrive in high-impact environments, and want to help shape the way OpenAI leverages data, we’d love to work with you.
Application accepted until position is filled
Requirements
3+ years of hands-on experience in data engineering.
8+ years of total software engineering experience (including data-focused work).
Proficient in a programming language such as Python, Scala, or Java.
Experience with distributed data technologies like Hadoop or Flink, and storage systems such as HDFS or S3.
Skilled in building and managing ETL workflows using tools like Airflow, Dagster, or Prefect.
Advanced experience with Spark, including debugging and optimization.
Strong collaboration and communication skills across technical and non-technical teams.
Benefits
Competitive salary: $255K – $405K
Equity in OpenAI
Relocation assistance to San Francisco
Work alongside world-class AI researchers and engineers
Mission-driven work focused on AI safety and beneficial deployment
Inclusive and supportive work environment
The application process will continue on the employer's website.
Location
San Francisco, CA (Relocation assistance available)
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