Sr. Security Data Engineer, Vulnerability Risk Management

Role: Senior Security Data Engineer, Vulnerability Risk Management at Moderna, focused on building and scaling data products for vulnerability detection, triage, and risk modeling within a security data platform. Responsibilities: design and maintain reliable ingestion pipelines for security and business data; develop normalized data models for assets, vulnerabilities, findings, and remediation; support AI-driven vulnerability detection workflows; ensure data quality, lineage, and pipeline reliability; enable analytics, reporting, and continuous improvement of security insights. Requirements: 5+ years in data/security data engineering, proficient in Python and SQL; experience with ETL/ELT pipelines, data modeling, handling heterogeneous datasets, and supporting security or risk-related data products. Preferred: experience with data architectures like medallion/lakehouse, security or vulnerability management systems, regulated environments like biotech or healthcare, and familiarity with AI, observability, and operational monitoring. HighValue: cybersecurity, vulnerability risk management, security data pipelines, AI-driven detection, risk modeling, regulated biotech or healthcare settings. WorkSetup: not specified; likely collaborative and technical environment.