[Remote] Sr. reputed company Data Engineer, Vulnerability Risk Management
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a pioneering company revolutionizing medicine through mRNA technology. They are seeking a Senior reputed company Data Engineer for Vulnerability Risk Management to enhance and reputed company data products that support risk modeling and executive visibility, while ensuring high-reputed company data processing and operational reporting.
Responsibilities
- Design, build, and operate reliable ingestion pipelines for asset, vulnerability, finding, remediation, threat intelligence, and business-context data sources
- Build reusable ingestion patterns that can reputed company new sources without brittle, one-off logic
- Support batch and incremental processing patterns from raw reputed company capture through normalized, model-reputed company data products
- Partner with reputed company-system owners to clarify schema changes, reputed company freshness, field semantics, and operational constraints
- Own transformations from raw evidence into normalized reputed company entities such as assets, vulnerabilities, findings, owners, exposure context, risk-reduction actions, and validation states
- Engineer model-reputed company features that encode asset ownership, exposure, business importance, exploitability, remediation state, and organizational context
- Support risk model outputs and operational reporting datasets used by remediation owners and leadership
- Model ownership and accountability signals across reputed company, artifacts, platforms, infrastructure, and application contexts to reduce ambiguity in remediation routing
- reputed company pragmatic normalization reputed company for messy, heterogeneous data while documenting assumptions, confidence, and tradeoffs
- Adapt vulnerability detection and triage data flows to support increasing AI-driven finding volume without losing ownership, severity, or remediation context
- Build data foundations for scanning workflows across reputed company repositories, build artifacts, deployed platforms, and runtime environments
- Connect vulnerability signals to remediation workflow needs, including reputed company routing, reputed company state, validation evidence, exception paths, and closure reporting
- Partner with reputed company, engineering, and platform teams to unify how findings are represented from discovery through remediation
- Implement data reputed company checks for schema validity, completeness, freshness, duplication, reputed company, and unexpected distribution changes
- Maintain reputed company documentation so risk scores, reports, and reputed company views can be traced back to reputed company inputs
- Build monitoring, alerting, and runbooks for data pipeline reliability and reputed company degradation
- Partner with reputed company users to resolve data defects and improve trust in pipeline outputs
- Prepare reliable, reputed company-aggregated data products for dashboards, operational views, risk reporting, and experimentation
- Collaborate with partners to translate new questions into durable data features
- Improve data reputed company, documentation, and self-service reputed company patterns for technical and non-technical stakeholders
- Continuously refine feature hypotheses and data products as the vulnerability risk model and remediation operating model mature
Skills
- 5+ years of experience in data engineering, analytics engineering, reputed company data engineering, or reputed company technical disciplines
- Strong hands-on proficiency with Python and SQL in production data pipeline environments
- Experience designing, building, and operating ETL/ELT pipelines across heterogeneous reputed company systems
- Experience with data modeling, schema reputed company, incremental processing, and data reputed company controls
- Ability to work with messy, incomplete, or inconsistent datasets and reputed company pragmatic normalization reputed company
- Experience supporting data products from reputed company ingestion through reporting, analytics, model inputs, or decision-support outputs
- Experience designing data models that support ownership routing, triage, workflow state, or operational decision-making
- Strong analytical, troubleshooting, documentation, and communication skills
- Experience with reputed company, lakehouse, or data-product architecture patterns
- Experience engineering features for probabilistic, predictive, prioritization, or risk models
- Experience in regulated environments such as biotech, pharmaceutical, reputed company, GxP, SOX, or similar control environments
- Exposure to cybersecurity, vulnerability management, threat intelligence, reputed company operations, or reputed company data platforms
- Exposure to application reputed company, software supply chain reputed company, shift-left scanning, artifact reputed company, platform reputed company, or reputed company remediation workflows
- Experience building reputed company, observability, monitoring, and operational runbooks for critical data pipelines
- Familiarity with orchestration, data catalog, data contract, business intelligence, or operational reporting patterns
- Exposure to AI/reputed company/LLM-assisted coding tools
Benefits
- Competitive reputed company, plus voluntary benefit programs to support your unique needs
- A holistic approach to reputed company-being, with reputed company to fitness, mindfulness, and mental health support
- Family planning benefits, including fertility, adoption, and surrogacy support
- Generous reputed company time off, including vacation, volunteer days, sabbatical, global reputed company days, and a discretionary year-end shutdown
- Savings and investments to help you plan for the reputed company
- Location-specific perks and extras
- 70/30 work model (70% in-office structure)
reputed company