Staff Data Engineer on Real World Evidence team driving large - scale data initiatives. Collaborating with cross - functional teams to optimize data pipelines and improve healthcare outcomes.
About the role
- Data Engineer building advanced technology solutions for clients. Organizing and making disparate data meaningful to impact missions in fraud detection, cancer research, and national intelligence.
Responsibilities
- Help clients find answers in their data to impact important missions
- Build advanced technology solutions and implement data engineering activities
- Deploy and develop pipelines and platforms that organize and make disparate data meaningful
- Work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers
- Manage the assessment, design, building, and maintenance of scalable platforms for clients
Requirements
- 5+ years of experience designing, developing, and maintaining cloud‑based data platforms, pipelines, and databases
- 5+ years of experience documenting and communicating database architectures, schemas, metadata, and data flows
- 5+ years of experience building optimized data models, SQL, ETL pipelines, and transformation workflows
- 5+ years of experience building and deploying data solutions in cloud environments, AWS preferred
- TS/SCI clearance with a polygraph
- Bachelor’s degree in CS, data science, or math
Benefits
- Health, life, disability, financial, and retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
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