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.
Skills Required
- B.Tech in Computer Science or a similar field
- At least 5 years of experience in data engineering
- At least 1 year of experience leveraging generative AI and LLM models to design agentic data engineering solutions
- Experience with ETL and pipeline development using Azure Databricks, Apache Spark, or Azure Data Factory
- Experience developing batch and real-time data integrations
- Programming experience with Python
- Experience with data ingestion, preparation, integration, and operationalization
- Experience with Azure Synapse or Snowflake analytical warehouses
- Experience with orchestration tools, Azure DevOps, and GitHub
- Experience building end-to-end architectures for data lakes, data warehouses, and data marts
- Experience with MS SQL, Delta Lake, or Spark SQL
- Experience owning end-to-end development, including coding, testing, debugging, and deployment
- Experience with reliability engineering, deployment planning, fault-tolerant architecture, and test automation
- Extensive knowledge of ETL and data warehousing concepts, strategies, and methodologies
- Ability to provide forward-thinking data and analytics solutions
- Team-oriented collaboration, prioritization, and adaptability skills
- Excellent written, verbal, and presentation skills
- Familiarity with Azure Functions, Azure Data Lake Store, and Azure Cosmos
- Familiarity with healthcare business data models
Optum Compensation & Benefits Highlights
-
Leave & Time Off Breadth — Paid time off is often regarded as generous, with meaningful accrual and flexibility to use it. While practices can vary by team, the overall time-off offering stands out as a relative strength.
-
Retirement Support — A 401(k) plan with employer matching is available and generally well-regarded for supporting long-term savings. It remains valuable, though candidates should verify the current match formula.
-
Parental & Family Support — Programs such as parental leave, family medical leave, and adoption assistance are included as notable elements of the total rewards package. These resources can meaningfully support work-life balance when applicable to the role and location.
Optum Insights
What We Do
Optum, part of the UnitedHealth Group family of businesses, 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. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.
Gallery
Optum Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models, core on‑site (5 days/week), hybrid (4 days/week) and telecommute or fully remote, vary by country, role and location.