Data Engineering Lead

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

• Work with solution architects and other software engineers to evaluate functional and non-functional requirements and deliver creative, high-quality solutions
• Design, develop, test and maintain data intensive applications including ETL, relational and non-relational data storage, data application development
• Leverage AIDLC & design Agentic data engineering solution by using available Gen AI & LLM models
• Follow and improve on processes for continuous delivery and DevOps within your team
• Build and main configuration management and automation tools, deployment strategies/processes, monitoring tools
• Collaborate on quality strategies that ensure our data platform is correct, resilient, scalable and secure
• Participate in and provide input for system analysis, design walkthroughs and code reviews
• Participating in defect review and triage
• Adhere to design/coding standards and constantly improve the way we build and deliver software
• Technical analysis of existing reporting solutions to identify opportunities for improvement both from a best practice and quality/ performance improvement perspective
• Drive continuous improvement and automation solutions and processes
• Maintain production products, solutions, documentation, and environments to ensure optimal health, including resolving production issues and responding quickly to priority problems
• 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

B.Tech required in computer science or similar field with minimum 5 years' experience of Data Engineering and at least 1 years' experience leveraging Gen AI LLM models to design agentic solutions in data engineering space

Experience in ETL/Pipeline Development using tools such as Azure Databricks/Apache Spark and Azure Data Factory with development expertise on batch and real-time data integration

Experience in programming using Python

Experience in data ingestion, preparation, integration and operationalization techniques in optimally addressing the data requirements

Experience in Cloud data warehouse like Azure Synapse, Snowflake analytical warehouse

Experience with Orchestration tools, Azure DevOps and GitHub

Experience in building end to end architecture for Data Lakes, Data Warehouses and Data Marts

Experience in relational data processing technology like MS SQL, Delta Lake, Spark SQL

Experience to own end-to-end development, including coding, testing, debugging and deployment

Experienced in Software Engineering practices like Reliability Engineering, Deployment planning, Fault Tolerant architecture, Test Automation

Extensive knowledge of ETL and Data Warehousing concepts, strategies, methodologies

Ability to provide solutions that are forward-thinking in data and analytics

Proven team oriented with solid collaboration, prioritization, and adaptability skills

Proven excellent written and verbal communication skills including presentation skills

Familiarity with Azure services like Azure functions, Azure Data Lake Store, Azure Cosmos

Familiarity with Healthcare business data models

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.