Data Engineering Manager - Databricks, ETL

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 inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibilities

• Design, build, and maintain scalable data pipelines and platforms using advanced programming languages, and cloud data warehouses (e.g., Redshift, Snowflake)
• Develop resilient data architectures across data warehouses, lakes, and streaming environments to support enterprise analytics and reporting
• Ensure enterprise data security, governance, quality, and standardization across all data and analytics solutions
• Lead the end to end delivery of analytics data products, from design and development through production support and optimization
• Collaborate with business stakeholders and engineering partners to enable business intelligence, advanced analytics, and machine learning solutions
• Mentor and guide a team of data engineers, driving best practices, technical excellence, and continuous improvement
• Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements

Required Qualifications

Bachelor's or Master's in Computer Science, Engineering, or a related field. Typically 8+ years of relevant experience

Big Data/Distributed Systems: Experience with Apache Spark, Databricks, Snowflake, AWS Redshift or Kafka

Data Architecture: Experience with data modeling, warehousing (e.g., Snowflake), and ETL/ELT best practices

Cloud Platforms: Exhaustive experience of working with Azure cloud services

Data Pipelines: Knowledge of designing, building, and optimizing ETL/ELT pipelines

Tools & DevOps: Familiarity with orchestration tools (Airflow), CI/CD, Git, and Linux (Shell Scripting)

Languages: Solid expertise in Python and/or Scala/Java

SQL & Data Modeling: Advanced SQL skills for data manipulation and performance tuning

Soft Skills & Leadership: Demonstrated solid communication, collaboration, and the ability to mentor junior engineers

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.