IT Controls Data Engineer

Role overview

• check_circle Building reliable data pipelines, models, and datasets for IT controls, including access, identity, configuration, change, ticketing, exception, and evidence data.
• check_circle Creating data quality, lineage, reconciliation, and completeness checks that make control data defensible for SOX and other audit use cases.
• check_circle Designing automated evidence generation workflows that produce complete, accurate, and repeatable audit populations, exports, dashboards, and control artifacts.
• check_circle Developing control monitoring logic to detect drift, missing evidence, stale access, direct system changes, overdue activity, and other control exceptions.
• check_circle Partnering with Security, IT, Infrastructure, Engineering, Risk Management, and system owners to understand source systems, validate data, and improve automation reliability.
• check_circle Translating technical system behavior, data flows, access models, and validation results into clear explanations for auditors, control owners, and technical stakeholders.
• check_circle Strong data engineering, analytics engineering, or software/data systems experience, including building reliable datasets, pipelines, queries, dashboards, or automated reporting workflows.
• check_circle Hands-on SQL experience and proficiency with at least one scripting or programming language such as Python.
• check_circle 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.
• check_circle Strong understanding of data modeling, lineage, completeness, accuracy, reconciliation, validation, observability, and repeatability.
• check_circle Ability to reason through messy source-system data, inconsistent identifiers, nested groups, stale records, missing owners, direct assignments, and downstream application drift.
• check_circle Experience supporting security, IT controls, SOX, audit readiness, risk, compliance, or regulated technology environments.
• check_circle Ability to explain technical systems, data flows, and control logic clearly to both engineering and audit stakeholders.
• check_circle Strong ownership, judgment, and attention to detail in high-stakes, time-sensitive environments.

Preferred qualifications

• Experience with Entra ID, Workday, GitHub, Databricks, Salesforce, or similar platforms.
• Experience with cloud infrastructure environments such as Azure, AWS, or GCP.
• 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 the company