The Role
Design and develop scalable data engineering solutions with a focus on AI integration, cloud services, and high-performance data pipelines. Collaborate with teams to ensure application performance and compliance with best practices.
Summary Generated by Built In
Requisition Number: 2355357
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.
Senior Data Analyst - Data & AI
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.
Senior Data Analyst - Data & AI
Primary Responsibilities:
- Design, develop, and support scalable data engineering and AI-enabled application solutions using Apache Spark, Scala, and Python
- Build, optimize, and maintain high-performance batch and near real-time data pipelines for ingestion, transformation, and analytics across large-scale datasets
- Develop and manage cloud-based data workflows on AWS, with hands-on use of services such as Amazon EMR, AWS Step Functions, AWS Lambda and Amazon OpenSearch
- Contribute to the design and deployment of AI agents and Generative AI solutions using platforms such as Google Gemini and AWS Bedrock
- Implement Retrieval-Augmented Generation (RAG) architectures by integrating large language models with enterprise data sources, search capabilities, and knowledge repositories
- Work with modern AI integration standards and technologies, including MCP (Model Context Protocol) and related agentic AI frameworks
- Collaborate closely with cross-functional teams including product management, data science, platform engineering, and business stakeholders to deliver scalable and reliable solutions
- Ensure application performance, reliability, maintainability, and operational excellence across data and AI systems
- Participate in technical design discussions, architecture reviews, code reviews, and engineering best practice initiatives
- Troubleshoot production issues, perform root cause analysis, and implement corrective and preventive measures
- Support automation, monitoring, deployment, and continuous improvement initiatives across the engineering lifecycle
- 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 regard 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:
- Bachelor's degree in Computer Science, Engineering, or a related technical discipline
- 3+ years of professional software engineering experience, with a solid focus on data engineering, big data systems, AI platforms, or backend application development
- Solid hands-on experience with Scala and Apache Spark in developing distributed data processing applications
- Proficiency in Python for data engineering, workflow automation, and AI/ML-related development
- Hands-on experience working with AWS cloud services, particularly:
- o Amazon EMR
- o AWS Step Functions
- o Amazon OpenSearch
- Experience or working knowledge in building and deploying AI agents or Generative AI applications using Google Gemini, AWS Bedrock, or similar LLM platforms
- Good understanding of RAG concepts, vector-based retrieval, prompt orchestration, and enterprise knowledge integration
- Familiarity with MCP (Model Context Protocol) and awareness of emerging AI and agentic application technologies
- Solid understanding of distributed systems, data pipeline architecture, ETL/ELT design, and performance optimization techniques
- Good knowledge of SQL, data modeling, and processing of structured and unstructured data
- Familiarity with software engineering best practices including version control, automated testing, code reviews, documentation, and secure development principles
- Solid analytical, problem-solving, and debugging capabilities
- Effective communication and collaboration skills, with the ability to work successfully in a team-oriented environment
Preferred Qualifications:
- Experience with Java,Apache Kafka for streaming, event-driven, or asynchronous data architectures
- Experience with Docker, Kubernetes, or similar containerization and orchestration technologies
- Exposure to DevOps practices and related tools for CI/CD, deployment automation, infrastructure management, and monitoring
- Good working knowledge of shell scripting for operational automation and workflow support
- Solid Unix/Linux command-line knowledge and system troubleshooting skills
- Familiarity with workflow orchestration and scheduling platforms used in modern data ecosystems
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
- Bachelor's degree in Computer Science, Engineering, or related technical discipline
- 3+ years of professional software engineering experience in data engineering, big data systems, AI platforms, or backend application development
- Hands-on experience with Scala and Apache Spark in developing distributed data processing applications
- Proficiency in Python for data engineering, workflow automation, and AI/ML-related development
- Hands-on experience working with AWS cloud services
- Experience or working knowledge in building and deploying AI agents or Generative AI applications
- Good understanding of RAG concepts and enterprise knowledge integration
- Familiarity with software engineering best practices including version control, automated testing, and secure development principles
Optum Compensation & Benefits Highlights
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Healthcare Strength — Health coverage offers copay and HSA medical options with dental, vision, company‑paid life and disability, and free or low‑cost virtual visits. Feedback suggests the offering is comprehensive and competitive on paper.
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Parental & Family Support — Time off and family supports include PTO, eight paid holidays plus a floating day, six weeks paid parental leave, up to two weeks paid caregiver leave, Bright Horizons back‑up care, and adoption assistance up to $10,000. Feedback suggests these resources are meaningful for caregivers and family needs.
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Retirement Support — Savings programs include a 401(k) with employer match (after one year, vesting after two) and a 10%‑discount Employee Stock Purchase Plan. These programs bolster long‑term financial security when combined with other savings resources.
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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
