Data Engineer

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, develop, and maintain advanced data pipelines and ETL processes using niche technologies
• Collaborate with cross-functional teams to understand complex data requirements and deliver tailored solutions
• Ensure data quality and integrity by implementing robust data validation and monitoring processes
• Optimize data systems for performance, scalability, and reliability
• Develop comprehensive documentation for data engineering processes and systems
• 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:

• Graduate degree or equivalent experience
• BE/BTech in any Engineering Stream
• Hands-on experience with AI/ML frameworks and services such as Azure AI, Azure OpenAI, Databricks AI/ML, MLflow
• Experience with ETL tools (e.g., DataStage) and implementation of large-scale Data Warehouse solutions
• Experience with data warehousing platforms such as Snowflake, Databricks, and big data technologies such as Spark
• Experience in Artificial Intelligence (AI), Machine Learning (ML), and Generative AI solutions, including leveraging
• Knowledge of LLMs, prompt engineering, AI-powered data analytics, and integrating AI capabilities into enterprise data platforms
• Solid knowledge of SQL, database design, and database management systems
• Understanding of AI governance, responsible AI principles, model lifecycle management, and AI solution deployment in cloud environments
• Familiarity with cloud platforms (AWS, Azure, GCP) and data pipeline orchestration tools (e.g., Airflow)
• Proficiency in programming languages such as Python and experience developing scalable data processing solutions
• Demonstrated solid analytical and problem-solving abilities, with a focus on delivering actionable insights and business value through data and AI-driven solutions

Preferred Qualification:

• Knowledge of LangChain, or similar technologies

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.