Senior Data Engineer, Core Experimentation
OpenAI
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Compensation
Salary & market context
314% above the BLS national median
BLS national median: $74,680
- $293K - $325K
Requirements
Top requirements
- 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 including user growth, engagement, and revenue. - Work collaboratively with various teams, including, 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 (e.g., HDFS, S3). - Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks. - Solid understanding of Spark and ability to write, debug and optimize Spark code.
- AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
Perks & setup
Benefits candidates care about
- Compensation Range: $293K - $325K USD About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.
Why candidates care
Benefits & perks
- Compensation Range: $293K - $325K USD About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.
Start here
Requirements
- 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 including user growth, engagement, and revenue. - Work collaboratively with various teams, including, 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 (e.g., HDFS, S3). - Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks. - Solid understanding of Spark and ability to write, debug and optimize Spark code.
- AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
Responsibilities
What you'll do
- About the role: We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI.
- This role also provides the opportunity to collaborate closely with the researchers behind ChatGPT and help them 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 including user growth, engagement, and revenue. - Work collaboratively with various teams, including, 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.
- We use a hybrid work model and value in-person collaboration for technical design, iteration, and cross-functional partnership.
Role snapshot
About the role
About the Team
The Statsig team at OpenAI https://openai.com?utm_source=chatgpt.com 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.
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