OpenAI
Data Engineer, Core Experimentation
$293K–$385K
Seattle · Hybrid · Full-time · Posted Oct 6, 2026
- Experience
- 3+ years as a data engineer and 8+ years of software engineering experience, including data engineering.
About the job
Builds data pipelines and canonical product datasets that support experimentation, analytics, safety systems, and business decisions at OpenAI.
What you'll do
- Design and operate data pipelines integrating user events into the data warehouse, with robust ingestion and processing.
- Develop canonical datasets for product metrics such as growth, engagement, and revenue.
- Collaborate across teams on data needs and contribute to data architecture, security, integrity, and compliance.
What they ask for
- Proficiency in at least one of Python, Scala, or Java.
- Experience with distributed processing technologies and frameworks, such as Hadoop or Flink, and distributed storage systems such as HDFS or S3.
- Expertise with an ETL scheduler such as Airflow, Dagster, Prefect, or similar.
- Solid understanding of Spark and ability to write, debug, and optimize Spark code.
Pay
$293K - $325K USD (base salary); $347K – $385K (total pay)
Tools
Python, Scala, Java, Hadoop, Flink, HDFS, S3, Airflow
AI focus
Supports AI-era experimentation and product development; the role may collaborate with ChatGPT researchers and help train new models.
Model-written summary · the original posting is authoritative