IT Controls Data Engineer

About the Team

The IT and Security organization builds the systems data foundations and automation that help OpenAI operate securely and reliably at scale. We support critical domains across identity access infrastructure security enterprise systems and internal productivity.

As OpenAI grows audit readiness and control assurance increasingly depend on reliable data: accurate system inventories access populations change records configuration state exception signals and evidence generated directly from source systems. Our goal is to move beyond manual evidence collection and build scalable data products automated validation and continuous control monitoring that make security and IT controls measurable repeatable and defensible.

About the Role

We are looking for an IT Controls Data Engineer to build the data infrastructure that powers audit readiness IT controls evidence automation and continuous control monitoring.

In this role you will design and maintain the pipelines datasets models validation logic dashboards and evidence exports that make IT controls measurable repeatable and defensible. You will work across Security IT Infrastructure Engineering Finance Risk Management and auditors to turn complex system behavior into reliable control data products.

This is a technical builder role. The ideal candidate is strong in data engineering and analytics engineering comfortable working with enterprise and security system data and able to explain data lineage source-system behavior and control logic clearly to technical and audit stakeholders.

Youll be responsible for

• Building reliable data pipelines models and datasets for IT controls including access identity configuration change ticketing exception and evidence data.

• Creating data quality lineage reconciliation and completeness checks that make control data defensible for SOX and other audit use cases.

• Designing automated evidence generation workflows that produce complete accurate and repeatable audit populations exports dashboards and control artifacts.

• Developing control monitoring logic to detect drift missing evidence stale access direct system changes overdue activity and other control exceptions.

• Partnering with Security IT Infrastructure Engineering Risk Management and system owners to understand source systems validate data and improve automation reliability.

• Translating technical system behavior data flows access models and validation results into clear explanations for auditors control owners and technical stakeholders.

Were looking for someone with

• Strong data engineering analytics engineering or software/data systems experience including building reliable datasets pipelines queries dashboards or automated reporting workflows.

• Hands-on SQL experience and proficiency with at least one scripting or programming language such as Python.

• Experience working with enterprise system data such as identity platforms HR systems ticketing systems cloud environments source control systems SaaS applications or audit/compliance tooling.

• Strong understanding of data modeling lineage completeness accuracy reconciliation validation observability and repeatability.

• Ability to reason through messy source-system data inconsistent identifiers nested groups stale records missing owners direct assignments and downstream application drift.

• Experience supporting security IT controls SOX audit readiness risk compliance or regulated technology environments.

• Ability to explain technical systems data flows and control logic clearly to both engineering and audit stakeholders.

• Strong ownership judgment and attention to detail in high-stakes time-sensitive environments.

Nice to have:

• Experience with Entra ID Workday GitHub Databricks Salesforce or similar platforms.

• Experience with cloud infrastructure environments such as Azure AWS or GCP.

You might thrive in this role if:

• You like turning messy operational processes into clean repeatable systems.

• You enjoy working at the intersection of data controls engineering and audit.

• You can go deep technically but also explain your work clearly to auditors and executives.

• You care about evidence quality data integrity and defensible documentation.

• You are energized by building automation that reduces manual effort and improves control reliability.

• You can partner with engineers without slowing them down while still maintaining a strong control standard.

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 OpenAIs 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 addition job duties require access to secure and protected information technology systems and related data security obligations.

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Required Experience:

IC