Optum is looking to solve the problem of advancing health optimization on a global scale by leveraging technology to improve health outcomes and connect people with the care, pharmacy benefits, data, and resources they need.
Requirements
- 5+ years of professional data engineering experience in cloud environments (Azure or AWS)
- 5+ years Expert-level SQL and strong Python (or Scala) for data processing and tooling
- 3+ years of proven experience with a major warehouse (Snowflake, BigQuery, Redshift) and a lake/lakehouse stack (e.g., Databricks, Spark, Delta/Iceberg/Hudi)
- 3+ years of experience with solid data modeling skills; comfortable designing star schemas and incremental pipelines
- AWS and Azure experience
- GitHub Actions experience
- Hands-on with orchestration (Airflow, Dagster, Prefect) and modern ELT (dbt or equivalent)
Responsibilities
- Design, build, and operate scalable ELT/ETL pipelines (batch and streaming) with strong SLAs and observability
- Model source data into well-governed, analytics-ready layers (staging, marts) using dimensional and/or Data Vault patterns
- Lead the evolution of our lakehouse/warehouse architecture; drive partitioning, file layout, and table format best practices
- Implement data quality, testing, and lineage at scale; champion data contracts with upstream teams
- Optimize performance and cost across compute, storage, and query engines; establish capacity plans and autoscaling
- Partner with product, analytics, and ML to define semantic layers, metrics, and feature/data products
- Uphold security, privacy, and governance standards; manage access controls for PHI and sensitive data
Other
- You'll enjoy the flexibility to work remotely from anywhere within the U.S.
- All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
- Previous healthcare background
- UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.
- qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
