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Strong employer brand, metro location, and mid-level generalist experience amplify applicant competition.
Data engineering skills transfer across industries, but cybersecurity/control context adds moderate domain specificity.
Explicit 4+ years plus mandatory security, data engineering, Python, SQL, and reporting skills increase shortlisting strictness.
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Deliver end-to-end technical solutions for automated control execution, enterprise reporting, and governance using Python services, APIs, and data pipelines.
Leverage AI-assisted development and analytics to enhance productivity, data quality, anomaly detection, and intelligent automation in information security risk management.
Build and optimize scalable data pipelines, reporting, and integration solutions (SQL, Power BI, REST APIs) ensuring data quality, auditability, and compliance with security control requirements.
Minimum 4+ years of Information Security Analysis experience or equivalent demonstrated by training, education, or military experience.
Strong hands-on experience with Python for application development, automation, and data processing.
Experience with SQL and building data pipelines, ETL/ELT processes, and integration using REST APIs.
Experience with Power BI, Microsoft Fabric, or Power Platform for reporting and analytics.
Technically skilled individual contributor with experience delivering scalable, production-ready data and automation solutions in cybersecurity or risk management contexts.
Experienced in applying AI or advanced analytics for data validation, anomaly detection, or automating control execution workflows.
Capable of independently owning solution design, development, integration, and continuous improvement to improve data quality, reduce manual effort, and support audit-ready reporting.