Job Summary
Job Title: Security Data Engineer (Access Management)Role Overview We are seeking a highly technical Security Data Engineer to join our Access Management team. In this role, you will build the data pipelines, analytics tools, and reporting dashboards required to monitor, audit, and secure identity and access across our systems. You will leverage full-stack coding skills and AI tools to analyze security access patterns, automate identity workflows, and provide clear visibility into our access management ecosystem.Key ResponsibilitiesAccess Data Infrastructure: Design and maintain scalable ETL/data pipelines to securely ingest, transform, and manage identity logs, user entitlements, and authentication data.Security Analytics: Conduct in-depth Data Analysis on access logs to identify anomalies, ensure compliance (e.g., least privilege access), and support security audits.Visibility & Tooling: Develop internal web applications and custom dashboards (Viz/UX Design) to give security teams actionable insights into access metrics and user activity.AI Integration: Leverage modern AI tools and frameworks to enhance threat detection, identify unusual access behaviors, and automate routine identity management tasks.Required Qualifications (Must-Haves)Core Coding Knowledge: Strong foundational software engineering skills with an ability to write clean, secure, and efficient code.SQL: Advanced proficiency in writing complex queries to extract and model large datasets from security and identity databases.JavaScript: Strong hands-on experience using JS to build interactive front-end security dashboards and manage API integrations.ETL / Data Pipelines: Proven experience building and managing automated ETL workflows, specifically handling sensitive or high-volume log data.Preferred & Additional SkillsPython: Experience writing Python scripts for backend security automation, log parsing, or data manipulation.HTML: Solid understanding of web markup for developing custom, user-friendly security portals.Data Visualization/UX: Experience designing intuitive dashboards (using custom JS libraries or BI tools) tailored for security analysts and auditors.AI & Machine Learning: Familiarity with applying AI/ML concepts to cybersecurity, specifically around identity behavior and access anomaly detection.