Senior Security Data Engineer

F5 is seeking a Senior Security Data Engineer to design, build, and operate data pipelines that ingest and integrate security and IT operations data from various sources into enterprise data platforms. The role requires strong proficiency in Python and SQL, experience with ETL/ELT processes, and expertise in designing data models and pipelines to support BI tools. The ideal candidate will have 5-7+ years of experience in data engineering, analytics engineering, or similar roles, preferably in a security or IT operations environment.

Requirements

• Design, implement, and maintain scalable data pipelines for ingesting logs and events from CrowdStrike, ServiceNow, and other security/IT systems into centralized storage and analytics platforms.
• Build and manage robust API-based integrations (REST/JSON) to collect data from CrowdStrike Falcon APIs, ServiceNow APIs, and other SaaS tools on scheduled and near real-time cadences.
• Develop ETL/ELT processes to clean, normalize, and join disparate data sources (raw logs, ticketing, endpoint telemetry, CMDB) into curated security-domain datasets optimized for analytics and reporting.
• Model and maintain schemas, views, and tables that serve as the foundation for Tableau dashboards, KPIs, SLA reporting, and security metrics.
• Implement alerting logic and data structures that support operational dashboards supporting alerting and monitoring based on combined CrowdStrike, ServiceNow, Nimbus and log data.
• Design and automate secure, reliable data transfer workflows between 3rd party API’s, storage solutions (e.g., object storage, data warehouses, databases) using scripting and orchestration tools.
• Create and maintain reusable scripts and frameworks for data collection, transformation, data quality checks, and pipeline monitoring.
• Monitor data quality, completeness, and timeliness; implement validation, observability, and self-healing mechanisms for pipelines.
• Collaborate with security engineers, incident responders, and analysts to understand use cases and translate them into data models, metrics, dashboards, and automated alerting.
• Provide technical leadership and mentorship, code review, and mentoring for junior engineers and analysts working on data and automation initiatives.

Benefits

• Competitive salary
• Medical and dental insurance
• Retirement plan
• Generous paid time off
• Life insurance
• 401(k) matching