Data Engineer, Safety Systems
Description For Data Engineer, Safety Systems
OpenAI is seeking a 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. As the first Data Engineer in this capacity, you'll be instrumental in building and managing data pipelines, developing metrics tracking systems, and ensuring data integrity.
The position offers a competitive compensation package of $245K-$310K plus equity and comprehensive benefits, including medical coverage and parental leave. Based in San Francisco HQ, this role requires 8+ years of software engineering experience, with at least 3 years specifically in data engineering.
The ideal candidate will have expertise in Python or similar languages, distributed processing technologies, and ETL frameworks. You'll work across teams including Infrastructure, Data Science, Product, and Research, making critical contributions to business decisions and product development.
OpenAI's mission centers on ensuring AI benefits humanity safely and ethically. The ChatGPT team specifically focuses on responsible deployment and learning from real-world applications. This role offers a unique opportunity to shape the future of AI technology while working with cutting-edge systems and contributing to one of tech's most impactful products.
The company provides a supportive environment with extensive benefits, including unlimited PTO, learning stipends, and comprehensive healthcare. They're committed to diversity and equal opportunity, making this an ideal position for someone passionate about both technical excellence and ethical AI development.
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 and 8+ years of any software engineering experience
- Proficiency in programming languages like Python, Scala, or Java
- Experience with distributed processing technologies (Hadoop, Flink) and storage systems (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
- Unlimited time off and 13 company holidays per year
- Paid parental leave (24 weeks paid birth-parent leave & 20-week paid parental leave)
- Annual learning & development stipend ($1,500 per year)
- Equity
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