Data Security Engineer

Responsibilities: Automate evidence collection and control testing processes using scripting tools (e.g., Python, PowerShell) Develop scripts and queries to analyze datasets, identify anomalies, and validate data integrity Build and maintain automation workflows for ITGC control reviews and audit documentation Parse structured and unstructured data sources to extract relevant compliance information Coordinate and track control review activities using workflow tools (e.g., Jira, ServiceNow) Support testing and documentation of controls related to: Logical access Change management Computer operations Qualifications: Proficiency in Python and PowerShell, Power Automate for scripting, automation, and data parsing Strong experience with SQL for querying and validating data across systems Familiarity with Azure DevOps, GitHub, or similar platforms for version control and CI/CD a plus Advanced Excel skills for data manipulation and reporting Strong automation mindset with a passion for improving manual processes Analytical and detail-oriented with a focus on data accuracy and integrity Clear communicator who can explain technical logic and compliance rationale Coachable, collaborative, and eager to learn new tools and frameworks Technical Skills Strong technical scripting skills (SQL, Python, PowerShell) Proficiency in Excel Ability to reduce manual touchpoints through automation Strong analytical/process improvement mindset (engineer or analyst profile) Focused on capturing evidence , proving scripts work , and bringing high attention to detail No prior GRC experience required the priority is technical capability Exposure to Azure/Azure DevOps is a plus Familiarity with Saviynt and working across connected/disconnected systems Moving towards GitHub , so the current FTE will be focused on that migration — this role will support that lift