Senior Data Engineer
UnitedHealth Group•Eden Prairie, MN
•Remote
About The Position
A Senior Data Engineer at Optum Technology is responsible for designing, building, and operating scalable, secure, and high‑quality data platforms that enable analytics, reporting, AI/ML, and business decision‑making. The role emphasizes cloud-native data engineering, strong data quality and governance, and close collaboration with product, analytics, and platform teams. You will enjoy the flexibility to telecommute from anywhere within the U.S. as you take on some tough challenges.
Requirements
- Bachelor’s degree in Computer Science, Engineering related field
- 6+ years of experience as a Data Engineer or in data platform / analytics engineering roles
- 5+ years of experience with SQL, data modeling, and data transformations
- 5+ years of hands‑on experience with Databricks and/or Snowflake and large‑scale data processing
- 5+ years of experience building ETL/ELT pipelines, data warehouses, and analytical data stores
- 5+ years of experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD)
Nice To Haves
- Working knowledge of cloud architecture, scalability, and fault‑tolerant design
- Familiarity with data quality frameworks and enterprise data ecosystems
- Experience with lakehouse patterns (e.g., medallion/Bronze‑Silver‑Gold architectures)
- Proficiency in Spark and Python for data engineering workloads
- Experience with data governance, metadata, and lineage tools
- Exposure to AI/ML or advanced analytics enablement through curated data assets
- Experience migrating legacy data platforms to modern cloud environments
- Prior experience mentoring engineers or contributing to engineering standards and best practices
Responsibilities
- Design, build, and operate scalable ETL/ELT pipelines for structured and semi‑structured data across internal and external sources
- Develop cloud‑native data solutions on modern data platforms (e.g., Databricks lakehouse, Snowflake)
- Apply data modeling, transformations, and enrichment to produce trusted, analytics‑ready datasets
- Ensure data quality, reliability, and auditability through validation, reconciliation, and monitoring
- Implement and follow enterprise data governance, security, and compliance standards
- Optimize data workloads for performance, cost efficiency, and operational reliability
- Support modernization efforts, including migration of legacy ETL pipelines to cloud‑native architectures
- Partner with product, analytics, and business stakeholders to translate requirements into production‑grade data solutions
- Enable downstream analytics, reporting, and AI/ML workloads through well‑designed data assets
- Apply software engineering best practices, including CI/CD, version control, testing, and code reviews
- Contribute to architectural discussions and mentor junior engineers.
- Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI
Benefits
- comprehensive benefits package
- incentive and recognition programs
- equity stock purchase
- 401k contribution
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What This Job Offers
Job Type
Full-time
Career Level
Senior
