$130,800 – $209,400
Listed on Moderna’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role builds data pipelines and products that transform vulnerability and asset data into actionable security insights for Moderna's risk management program. It suits experienced data engineers comfortable with messy security datasets who want to shape how organizations prioritize and remediate vulnerabilities at scale.
Our summary, not Moderna’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 5+ years data engineering, analytics engineering, or security data engineering experience
- Hands-on proficiency with Python and SQL in production environments
- Experience designing and operating ETL/ELT pipelines across heterogeneous systems
- Data modeling, schema evolution, incremental processing, and data quality control experience
- Ability to work with messy or incomplete datasets and make pragmatic normalization decisions
- Experience supporting data products from ingestion through reporting or decision-support outputs
- Experience designing data models for ownership routing, triage, workflow state, or operational decision-making
- Strong analytical, troubleshooting, documentation, and communication skills
Nice to have
- Medallion, lakehouse, or data-product architecture patterns
- Feature engineering for probabilistic, predictive, or risk models
- Experience in regulated environments (biotech, pharmaceutical, healthcare, GxP, SOX)
- Exposure to cybersecurity, vulnerability management, threat intelligence, or security data platforms
- Exposure to application security, software supply chain security, or shift-left scanning
- Experience building lineage, observability, monitoring, and runbooks for critical pipelines
- Familiarity with orchestration, data catalog, data contracts, or business intelligence patterns
- Exposure to AI/LLM-assisted coding tools