Data Engineer, Core Experimentation
AI summary of the role
OpenAI's Statsig team is hiring a Senior Data Engineer to build and own the data pipelines and core tables that power experimentation, product analytics, and safety systems across the company.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Design, build and manage data pipelines integrating all user event data into the data warehouse.
- Develop canonical datasets to track key product metrics including user growth, engagement, and revenue.
- Collaborate with Infrastructure, Data Science, Product, Marketing, Finance, and Research teams to understand data needs.
- Implement robust and fault-tolerant systems for data ingestion and processing.
What you’ll bring
- 3+ years of experience as a data engineer and 8+ years of any software engineering experience (including data engineering).
- Proficiency in Python, Scala, or Java.
- Experience with distributed processing technologies such as Hadoop, Flink, and distributed storage (HDFS, S3).
- Expertise with ETL schedulers like Airflow, Dagster, Prefect, or similar.
Technologies
Python · Scala · Java · Hadoop · Flink · HDFS · S3 · Airflow · Dagster · Prefect · Spark
About OpenAI
Builds frontier AI models (GPT series) and ships them as ChatGPT consumer/enterprise products plus a developer API for the broader AI ecosystem.
Private Late
Source and classification
Internal deployment & tooling · Evidence for this classification:
About the Team The Statsig team at OpenAI builds and operates the experimentation platform that powers product development, measurement, and decision-making across the company. We partner closely with product, engineering, and infrastructure teams to ensure experiments are trustworthy, statistically rigorous, and scalable to the needs of frontier AI products. Our mission is to help teams make better decisions through reliable experimentation. We care deeply about statistical correctness, pragmatic solutions, and building systems that researchers and engineers can trust at massive scale. The team operates at the intersection of experimentation methodology, data infrastructure, causal inference, and product analytics. We are looking for experienced experimentation experts who want to shape the future of experimentation in the AI era. About the role: We're seeking a Data Engineer to
More from the job description
About the Team The Statsig team at OpenAI builds and operates the experimentation platform that powers product development, measurement, and decision-making across the company. We partner closely with product, engineering, and infrastructure teams to ensure experiments are trustworthy, statistically rigorous, and scalable to the needs of frontier AI products. Our mission is to help teams make better decisions through reliable experimentation. We care deeply about statistical correctness, pragmatic solutions, and building systems that researchers and engineers can trust at massive scale. The team operates at the intersection of experimentation methodology, data infrastructure, causal inference, and product analytics. We are looking for experienced experimentation experts who want to shape the future of experimentation in the AI era. About the role: We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI. These pipelines are crucial for powering analyses, safety systems that guide business decisions, product growth, and prevent bad actors. If you're passionate about working with data and are eager to create solutions with significant impact, we'd love to hear from you. This role also provides the opportunity to collaborate closely with the researchers behind ChatGPT and help them train new models to deliver to users. As we con
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