IT Controls Data Engineer

Details

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.

Responsibilities

• Build reliable data pipelines, models, and datasets for IT controls, including access, identity, configuration, change, ticketing, exception, and evidence data.
• Create data quality, lineage, reconciliation, and completeness checks that make control data defensible for SOX and other audit use cases.
• Design automated evidence generation workflows that produce complete, accurate, and repeatable audit populations, exports, dashboards, and control artifacts.
• Develop control monitoring logic to detect drift, missing evidence, stale access, direct system changes, overdue activity, and other control exceptions.
• Partner with Security, IT, Infrastructure, Engineering, Risk Management, and system owners to understand source systems, validate data, and improve automation reliability.
• Translate technical system behavior, data flows, access models, and validation results into clear explanations for auditors, control owners, and technical stakeholders.

Requirements

• 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 do not discriminate on the basis of legally protected characteristics. Background checks for applicants will be administered in accordance with applicable law.

Benefits

• Base pay in the range shown, plus equity and potential performance-related bonuses.
• Medical, dental, and vision insurance with employer contributions to Health Savings Accounts.
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses.
• 401(k) retirement plan with employer match.
• Paid parental leave and paid medical/caregiver leave.
• Flexible PTO and paid company holidays/office closures.
• Mental health and wellness support; employer-paid basic life and disability coverage.
• Annual learning and development stipend; daily meals in offices and meal delivery credits as eligible.
• Relocation support for eligible employees.
• Additional taxable fringe benefits (charitable donation matching, wellness stipends, etc.).