Data Engineer, Safety Systems
Description For Data Engineer, Safety Systems
OpenAI is seeking a Senior Data Engineer to join their ChatGPT team, one of Silicon Valley's fastest-growing products. This role focuses on driving product analytics and growth through data-driven insights. The position requires expertise in data pipeline design, ETL processes, and distributed systems, with a strong emphasis on maintaining data security and compliance.
The ideal candidate will have 8+ years of software engineering experience, including 3+ years specifically in data engineering. They should be proficient in languages like Python, Scala, or Java, and have extensive experience with distributed processing technologies and ETL frameworks. The role involves working closely with various teams including Infrastructure, Data Science, Product, and Research.
OpenAI offers a comprehensive benefits package including competitive salary ($255K-$325K), equity, full healthcare coverage, 401(k) matching, generous parental leave, and learning stipends. The position is based in San Francisco HQ, with relocation assistance available.
As part of OpenAI's mission to ensure AI benefits humanity, this role is crucial in developing and maintaining the data infrastructure that powers their innovative AI systems. The company emphasizes safety over growth and seeks candidates who align with their commitment to responsible AI development. This is an excellent opportunity for a seasoned data engineer to make a significant impact in one of the most influential AI companies in the world.
Responsibilities For Data Engineer, Safety Systems
- Design, build and manage data pipelines for user event data integration into data warehouse
- Develop canonical datasets to track key product metrics including user growth, engagement, and revenue
- Work collaboratively with Infrastructure, Data Science, Product, Marketing, Finance, and Research teams
- Implement robust and fault-tolerant systems for data ingestion and processing
- Participate in data architecture and engineering decisions
- Ensure data security, integrity, and compliance
Requirements For Data Engineer, Safety Systems
- 3+ years of experience as a data engineer
- 8+ years of software engineering experience (including data engineering)
- Proficiency in programming languages like Python, Scala, or Java
- Experience with distributed processing technologies (Hadoop, Flink, HDFS, S3)
- Expertise with ETL schedulers (Airflow, Dagster, Prefect)
- Solid understanding of Spark and ability to write, debug and optimize Spark code
Benefits For Data Engineer, Safety Systems
- Medical, dental, and vision insurance for you and your family
- Mental health and wellness support
- 401(k) plan with 50% matching
- Generous time off and company holidays
- 24 weeks paid birth-parent leave & 20-week paid parental leave
- Annual learning & development stipend ($1,500 per year)
- Equity compensation
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