Senior Data Engineer, Core Experimentation

Senior Data Engineer, Core Experimentation Location: Bellevue, hybrid work model with in-person collaboration. 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. 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 preventing bad actors. If you are passionate about working with data and eager to create solutions with significant impact, this role offers the opportunity to collaborate closely with the researchers behind ChatGPT and help train new models to deliver to users. In this role, you will: Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse. Develop canonical datasets to track key product metrics such as user growth, engagement, and revenue. Work collaboratively with Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions. Implement robust and fault‑tolerant systems for data ingestion and processing. Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear. Ensure the security, integrity, and compliance of data according to industry and company standards. You might thrive in this role if you: Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience (including data engineering). Proficiency in at least one programming language commonly used within Data Engineering such as Python, Scala, or Java. Experience with distributed processing technologies and frameworks such as Hadoop, Flink and distributed storage systems (HDFS, S3). Expertise with ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks. Solid understanding of Spark and the ability to write, debug and optimize Spark code. Compensation $293K – $325K + equity. Benefits Hybrid work model; in‑person collaboration. OpenAI is an equal opportunity employer; we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or any other applicable legally protected characteristic. For more information please see OpenAI’s affirmative action and equal employment opportunity policy statement. #J-18808-Ljbffr