IT Controls Data Engineer
WFA Digital Insight
The remote job market is witnessing a significant surge in demand for data engineers, with a 25% increase in job openings over the past year. As companies like Openai scale, the need for reliable data infrastructure to support audit readiness and IT controls becomes paramount. With the rise of cloud computing and cybersecurity threats, skilled data engineers who can navigate complex systems and ensure data integrity are in high demand. Openai, a pioneer in AI technology, is seeking an IT Controls Data Engineer to join their team, offering a unique opportunity to work on cutting-edge projects. Before applying, candidates should be aware of the importance of data quality, lineage, and reconciliation in this role, as well as the need to communicate complex technical concepts to both engineering and audit stakeholders.
Job Description
About the Role
The IT Controls Data Engineer will play a critical role in designing and maintaining the data infrastructure that powers Openai's audit readiness and IT controls. This is a technical builder role that requires strong data engineering and analytics engineering skills, as well as the ability to explain complex data concepts to both technical and non-technical stakeholders. The ideal candidate will be comfortable working with enterprise and security system data, and able to navigate the complexities of data lineage, source-system behavior, and control logic.As a key member of the IT and Security organization, the IT Controls Data Engineer will work closely with cross-functional teams, including Security, IT, Infrastructure, Engineering, Finance, and Risk Management. The goal is to build scalable data products, automated validation, and continuous control monitoring that make security and IT controls measurable, repeatable, and defensible.
Openai is committed to operating securely and reliably at scale, and the IT Controls Data Engineer will be instrumental in achieving this goal. With the company's rapid growth, the need for reliable data infrastructure has never been more critical. The successful candidate will be a technical expert with a passion for data engineering and a keen eye for detail.
What You Will Do
- Design and maintain data pipelines, datasets, models, validation logic, dashboards, and evidence exports to support audit readiness and IT controls
- Build reliable data products that make IT controls measurable, repeatable, and defensible
- Create data quality, lineage, reconciliation, and completeness checks to ensure control data is defensible for SOX and other audit use cases
- Develop automated evidence generation workflows that produce complete, accurate, and repeatable audit populations, exports, dashboards, and control artifacts
- Partner with Security, IT, Infrastructure, Engineering, 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
- Develop control monitoring logic to detect drift, missing evidence, stale access, direct system changes, overdue activity, and other control exceptions
- Collaborate with cross-functional teams to identify and mitigate control risks
- Develop and maintain technical documentation for data products, pipelines, and workflows
What We Are Looking For
- Strong data engineering, analytics engineering, or software/data systems experience
- 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
- Familiarity with automation tools, such as Ansible or Terraform
- Experience with data visualization tools, such as Tableau or Power BI
Benefits and Perks
- Competitive salary and benefits package
- Opportunity to work with a cutting-edge technology company
- Collaborative and dynamic work environment
- Flexible working hours and remote work options
- Access to cutting-edge tools and technologies
- Professional development and growth opportunities
- Comprehensive health insurance and wellness programs
- Generous paid time off and holiday policy
- Retirement savings plan and matching program
- Employee stock option plan
How to Stand Out
- Ensure your resume and cover letter highlight your experience with data engineering, analytics engineering, or software/data systems, particularly in relation to IT controls and audit readiness.
- Be prepared to explain technical concepts, such as data lineage and control logic, in a clear and concise manner to both technical and non-technical stakeholders.
- Familiarize yourself with Openai's technology stack and be prepared to discuss how your skills and experience align with the company's goals and objectives.
- Develop a portfolio of your work, including examples of data products, pipelines, and workflows you have designed and implemented.
- Prepare to discuss your experience with automation tools, data visualization tools, and cloud infrastructure environments.
- Be prepared to negotiate your salary and benefits package, taking into account the company's budget and industry standards.
- Research the company culture and values, and be prepared to discuss how your own values and work style align with those of Openai.
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