Join the Finance Data team at OpenAI as a Senior Data Engineer to build internal data products, drive efficiencies, and scale analytics across business teams. You will work collaboratively with stakeholders to understand pain points and propose solutions. This role requires a seasoned Data Engineer with experience in owning the entire data stack at high transaction volume companies.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
About The Team
The Finance Data team is embedded within the CFO Org and is responsible for building internal data products that scale analytics across business teams and drive efficiencies in our daily operations. This team provides technical guidance on high-impact, scalable projects across Finance, and is the subject-matter expert in financial and transactional data that supports our Finance day-to-day operations.
About The Role
The Finance Data team is embedded within the OpenAI CFO Org (not under Engineering nor Product) and our team's mandate is ambitious yet simple:
- The CFO Org has the data required to be Public Company Ready.
- The CFO Org has all the data it needs to execute swiftly on our AI first roadmap.
- Controllership is able to close the books without any manual spreadsheets in the shortest timeframe and with zero material risks.
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In addition, you will work collaboratively with key stakeholders in Finance and other business teams to understand their pain points and take the lead in proposing viable, future-proof solutions to resolve them. You will also autonomously lead your own projects that deliver business impact and help cultivate a mature data culture among Finance teams.
We are looking for a seasoned Data Engineer who has a proven track record of owning the entire data stack at high transaction volume companies, managing business critical ETL pipelines consumed by non-technical teams. In this role you will serve the Head of Supply Chain Systems and be responsible for leading our manufacturing, OTC data mart strategy. The goal is to enable end-to-end asset and inventory traceability for our supply chain infrastructure by end of year 2026. We actually need someone who excels in dynamic environments, adapts quickly to changing needs, and confidently navigates ambiguous or evolving requirements. If you're energized by solving technical problems without a playbook and comfortable wearing multiple hats, this role is for you! To clarify, you will not be responsible for training ML models and neither would we describe this role as ‘product analytics’.
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.
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About OpenAI
Interested in relocating to United State? Check out our comprehensive Relocation Jobs in United State page with detailed relocation packages and benefits.
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.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. 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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