Data Engineer, Marketing

About the team Business Data Science & Analytics is OpenAI’s hub for applying data to growth, revenue, and go-to-market strategy. We leverage data and analytics to understand the business, identify new opportunities, and evaluate impact — all in service of OpenAI’s mission to maximize the benefits of AGI for all of humanity. We build reliable, centralized data models that power decision-making across Marketing, Sales, Partnerships, and more. Our work guides strategic investments, uncovers growth levers, and supports OpenAI’s most important business bets. About the Role We’re seeking a Marketing Data Engineer to take the lead in building the data pipelines and core marketing datasets that power OpenAI’s growth. These pipelines are essential to understanding and optimizing our marketing and partnership performance—helping us measure ROI, guide investment decisions, and accelerate adoption of our products around the world. If you’re passionate about working with data that drives business outcomes and want to build systems from the ground up, this is the role. You’ll collaborate closely with Marketing, Partnerships, Finance, and Data Science teams—as well as the researchers and engineers behind ChatGPT—to shape how we measure and scale OpenAI’s reach. In this role, you will: • Design, build, and manage pipelines that integrate marketing, and partnership data into our data warehouse. • Develop canonical datasets to track key business metrics such as spend, LTV, CAC, ROI, and incremental performance. • Partner with Marketing, Partnerships, Data Science, Finance, and Product teams to understand data needs and deliver scalable solutions. • Implement robust systems for data ingestion and processing across multiple channels. • Participate in data architecture and engineering decisions that define the foundation for marketing analytics. • 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 overall software engineering experience (including data engineering). • Are proficient in Python, Scala, or Java for data engineering. • Have experience with distributed processing technologies (e.g., Hadoop, Flink) and distributed storage systems (e.g., HDFS, S3). • Are skilled with ETL orchestration tools such as Airflow, Dagster, or Prefect. • Have a solid understanding of Spark, including writing, debugging, and optimizing Spark code. • Bring familiarity with marketing data sources (e.g., ad platforms, attribution systems, CRM, web analytics). • Thrive in ambiguity, love to build from 0→1, and want your work to directly shape how OpenAI grows. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. 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. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. 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