The Role
Lead design and build end-to-end data and AI solutions: full-stack React/Python development, enterprise-scale Azure Databricks data pipelines, Lakehouse architecture, LLM/AI systems, REST APIs, observability, data governance, and production support across the application lifecycle.
Summary Generated by Built In
Requisition Number: 2368726
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:
- Developing and implementing highly responsive user interface components using ReactJS, python, REST APIs and RDBMS like SQL Server
- Design, develop, and maintain scalable data engineering solutions using Azure Databricks, PySpark, Spark SQL, and Delta Lake
- Design, build, and support enterprise-scale ETL and data ingestion frameworks that integrate diverse data sources, including APIs, CSV files, relational databases, Snowflake, Kafka, and other streaming platforms
- Designing Lakehouse architectures using Bronze, Silver, and Gold data layers
- Develop real-time and batch data pipelines supporting observability, monitoring, data quality, and business intelligence use cases
- Implement data quality, validation, reconciliation, freshness, completeness, and anomaly detection frameworks
- Create machine learning and AI-driven solutions using Python, Azure ML, and Azure OpenAI services
- Develop LLM-powered triaging and intelligent automation solutions that analyze incidents, generate root cause hypotheses, and recommend remediation actions
- Build AI systems capable of correlating metrics, logs, traces, telemetry, and event streams across multiple enterprise platforms
- Develop REST APIs and backend services to support data access, control plane, and monitoring capabilities
- Optimize PySpark workloads, streaming jobs, Delta tables, and Databricks environments for cost, scalability, and performance
- Implement data governance, lineage, and security controls using Unity Catalog and enterprise governance frameworks
- Participate in architecture reviews, design reviews, code reviews, testing, release readiness, and production support activities
- Prepare detailed technical design documents from high-level architecture and business requirements
- Support QA, UAT, production releases, and defect resolution across the application lifecycle
- Collaborate with business, product, architecture, and engineering teams to deliver scalable enterprise solutions
- 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
- Experience designing and architecting large-scale, enterprise-grade applications using modern engineering, scalability, security, and reliability best practices
- Experience as a machine learning engineer or similar role
- Experience designing and deploying AI/ML solutions in Azure (Azure OpenAI, Azure ML, Azure Search)
- Experience with RESTful APIs
- Experience working with Azure Data Lake Storage, Azure Data Factory, Azure Event Hubs, Azure Key Vault, and Azure DevOps/GitHub CI/CD
- Experience with GitHub, CI/CD
- Solid experience on Python, React JS, SQL Server, Azure environment
- Solid hands-on experience building data pipelines using Azure Databricks, PySpark, Spark SQL, Delta Lake, and Delta Live Tables
- Solid understanding of Lakehouse architecture, including Bronze, Silver, and Gold data layers
- Solid in data modeling, working with SQL and NoSQL ecosystems (Cosmos, MongoDB, vector DBs)
- Solid understanding of LLM internals, RAG, prompt engineering, context window management, tool calling, and architectural design for scalable LLM and Agentic AI systems
- Exposure to Tableau
- Knowledge of version control systems, such as GIT
- Proven ability to adhere to all quality requirements
- Proven ability to work independently
- Proven solid problem solving, analytical skills
- Proven good communication and presentation skills
Preferred Qualifications:
- Knowledge of SRE/DevOps practices, APM tools (Dynatrace, Splunk, Prometheus, Grafana)
- HealthCare domain knowledge
- Tools Knowledge - Service Now, GitHUB
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
- Experience designing and architecting large-scale, enterprise-grade applications using modern engineering, scalability, security, and reliability best practices
- Experience as a machine learning engineer or similar role
- Experience designing and deploying AI/ML solutions in Azure (Azure OpenAI, Azure ML, Azure Search)
- Experience with RESTful APIs
- Experience working with Azure Data Lake Storage, Azure Data Factory, Azure Event Hubs, Azure Key Vault, and Azure DevOps/GitHub CI/CD
- Experience with GitHub and CI/CD
- Solid experience on Python, React JS, SQL Server, and Azure environment
- Hands-on experience building data pipelines using Azure Databricks, PySpark, Spark SQL, Delta Lake, and Delta Live Tables
- Solid understanding of Lakehouse architecture (Bronze, Silver, Gold)
- Data modeling experience with SQL and NoSQL ecosystems (Cosmos, MongoDB, vector DBs)
- Solid understanding of LLM internals, RAG, prompt engineering, context window management, tool calling, and architectural design for scalable LLM and Agentic AI systems
- Exposure to Tableau
- Knowledge of version control systems, such as GIT
- Proven ability to adhere to all quality requirements
- Proven ability to work independently
- Proven problem solving and analytical skills
- Good communication and presentation skills
- Knowledge of SRE/DevOps practices and APM tools (Dynatrace, Splunk, Prometheus, Grafana)
- HealthCare domain knowledge
- Familiarity with ServiceNow and GitHub tools (listed as tools knowledge)
Optum Compensation & Benefits Highlights
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Leave & Time Off Breadth — PTO accrues each pay period with eight paid U.S. holidays plus a floating holiday, and generous time away is consistently emphasized. This breadth supports planned and unplanned time off beyond standard vacation days.
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Parental & Family Support — Six weeks of paid parental leave, up to two weeks of paid caregiver leave, Bright Horizons back‑up care, and adoption assistance signal strong family-oriented support. EAP access with counseling sessions further extends help to employees and their households.
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Wellbeing & Lifestyle Benefits — Company‑paid short‑ and long‑term disability, Calm app membership, tuition reimbursement, commuter and FSA accounts, and broad employee discounts expand everyday wellbeing resources. Free or low‑cost virtual visits complement these lifestyle supports.
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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
