The Role
Designs and maintains scalable ETL/ELT pipelines and data infrastructure using Spark, Azure, Databricks, and SQL. Leads data architecture, performance optimization, governance, quality, automation, deployment, troubleshooting, and reliability initiatives. Collaborates with data scientists, analysts, and business teams to support analytics and machine learning, while mentoring junior engineers and implementing best practices.
Summary Generated by Built In
Requisition Number: 2340724
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:
Required Qualifications:
Preferred Qualifications:
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.
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 and Build Data Infrastructure: Develop and maintain scalable data pipelines (ETL/ELT) for large-scale data processing
- Data Architecture: Lead architectural decisions for data warehousing and big data solutions
- Optimize Performance: Improve database performance, query efficiency, and data workflows
- Data Quality and Governance: Implement frameworks for data validation, monitoring, and compliance
- Collaboration: Work with data scientists, analysts, and business teams to enable analytics and machine learning
- Mentorship: Guide junior engineers and promote best practices in data engineering
- Automation and Deployment: Create automated testing and deployment processes for data systems
- Troubleshooting: Resolve complex data issues and ensure system reliability
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications:
- Undergraduate degree or equivalent experience
- 7+ years of experience in Spark/Scala, Azure Databricks, Azure Data Factory, Airflow and Kafka. Proficient in coding, testing, implementing, debugging, and documenting the complex Spark Jobs
- Programming: Solid in Azure Databricks, Python/Scala, SQL experience
- ETL Tools and Big Data: Hands-on experience with Spark, Hadoop, or similar frameworks
- Cloud Platforms: Azure, (or GCP) experience
- Containerization and Orchestration: Docker, Kubernetes
- Data Modeling and Warehousing: Expertise in relational and NoSQL databases
- Distributed Systems: Knowledge of data partitioning and parallel processing
- Data Security and Compliance: Familiarity with GDPR, HIPAA, or similar standards
Preferred Qualifications:
- Experience with Snowflake
- Streaming Technologies: Kafka or similar message queuing systems
- AI and Machine Learning Deployment: implementing AI solutions (RAG development, Agents creation), Exposure to ML model integration
- CI/CD for Data: Jenkins or other DevOps tools for data workflows
- BI Tools: Tableau, Power BI for reporting
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
- Undergraduate degree or equivalent experience
- 7+ years of experience with Spark/Scala, Azure Databricks, Azure Data Factory, Airflow, and Kafka
- Proficiency in coding, testing, implementing, debugging, and documenting complex Spark jobs
- Experience with Azure Databricks, Python or Scala, and SQL
- Hands-on experience with Spark, Hadoop, or similar big data frameworks
- Experience with Azure or GCP cloud platforms
- Experience with Docker and Kubernetes
- Expertise in relational and NoSQL databases
- Knowledge of data partitioning and parallel processing
- Familiarity with GDPR, HIPAA, or similar data security and compliance standards
- Experience with Snowflake
- Experience with Kafka or similar message queuing systems
- Experience implementing AI solutions, including RAG development or agent creation
- Exposure to machine learning model integration
- Experience with Jenkins or other DevOps tools for data workflows
- Experience with Tableau or Power BI
Optum Compensation & Benefits Highlights
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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.
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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.
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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.
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The Company
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.
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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.
Typical time on-site:
Not Specified
