Data Engineer

UnitedHealth Group•San Antonio, TX

4h•Remote

About The Position

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. You will enjoy the flexibility to telecommute from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities:

Requirements

High School Diploma/GED
3+ years of overall experience in Data Engineering or related field

Nice To Haves

Strong expertise in SQL and data modeling for large-scale systems
Strong experience in ETL/ELT frameworks
Proven experience integrating data from heterogeneous source systems
Strong experience with Databricks, Python, Azure cloud services, Power BI or Tableau
Good experience with Azure data factory
Familiarity with AI/ML frameworks and supporting infrastructure for data science workflows
Experience working with PHI/PII and restricted client data in compliance with HIPAA or similar regulations
Strong communication, stakeholder management, and cross-functional collaboration skills

Responsibilities

Design and maintain scalable data models for large-scale systems ensuring optimal performance
Develop and manage robust ETL/ELT pipelines for data ingestion and transformation from heterogeneous sources
Apply strong SQL skills for complex queries and performance tuning across large datasets
Develop and maintain Python-based solutions for data processing, automation, and integration tasks
Build and optimize workflows on Azure Cloud services and Databricks to support enterprise data needs
Implement security and compliance measures for handling PHI/PII data in accordance with HIPAA or similar regulations
Support AI/ML workflows by provisioning infrastructure and collaborating with data scientists for predictive analytics integration
Work closely with cross-functional teams to gather requirements and deliver data solutions while effectively communicating technical concepts to stakeholders
Ensure data quality, integrity, and audit readiness across all systems
Create interactive dashboards and reports using Power BI or Tableau to deliver actionable insights
Utilize advanced data modeling techniques to design efficient and scalable architectures
Stay updated with emerging technologies in data engineering and cloud platforms to drive process improvements and best practices for data lifecycle management