The Role
Build and maintain Databricks and Snowflake data pipelines, orchestrated through Airflow, while developing Python APIs, AI services, and ML workflows on Azure. Implement generative AI, RAG, vector databases, agentic AI, MLOps, data quality, observability, governance, and responsible AI controls. Collaborate with data science, analytics, product, and platform teams to deliver scalable intelligent data products.
Summary Generated by Built In
Requisition Number: 2394855
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:
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, develop, and maintain scalable data pipelines using Databricks (Spark / PySpark)
- Orchestrate and monitor workflows using Apache Airflow for batch, streaming, and incremental processing
- Build and optimize ELT pipelines in Snowflake, ensuring performance, reliability, and cost efficiency
- Develop production-quality Python code for data processing, transformations, integrations, and AI/ML workloads
- Design, build, and host APIs, AI services, and data products using modern Python frameworks
- Deploy and manage APIs, ML models, and AI services using Azure-native services (Azure Functions, App Services, API Management, Azure AI Services)
- Design and implement AI/ML and Generative AI solutions, including model integration, prompt engineering, RAG (Retrieval-Augmented Generation), and intelligent workflow automation
- Build and manage vector databases, embeddings pipelines, semantic search capabilities, and knowledge retrieval frameworks
- Develop and operationalize ML pipelines, feature engineering workflows, model monitoring, and MLOps practices
- Leverage LLMs and Agentic AI frameworks to automate data onboarding, data quality validation, metadata management, and business processes
- Apply Azure cloud best practices for security, scalability, monitoring, resiliency, governance, and cost optimization
- Implement data quality checks, lineage tracking, observability, model evaluation, and AI governance controls
- Collaborate with Data Science, Analytics, Product, and Platform teams to build AI-powered products and intelligent data solutions
- 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:
- Graduate degree or equivalent experience
- Solid hands-on experience with Databricks (Spark / PySpark) in production environments
- Experience building and hosting REST APIs, AI services, and microservices using Python frameworks
- Experience with Azure AI Services, Azure OpenAI, Azure Machine Learning, or equivalent AI platforms
- Experience working with Large Language Models (LLMs), Generative AI, RAG architectures, vector databases, embeddings, and prompt engineering
- Experience implementing AI governance, model evaluation, privacy, security, and responsible AI practices
- Experience with CI/CD pipelines, Git-based version control, Infrastructure as Code, and deployment automation
- Solid working experience with Snowflake, including data modeling, optimization, and performance tuning
- Solid experience with Microsoft Azure, including cloud-native architecture and best practices
- Knowledge of Agentic AI frameworks (e.g., Semantic Kernel, LangChain, AutoGen, CrewAI, or similar) and intelligent workflow orchestration
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
- Graduate degree or equivalent experience
- Hands-on production experience with Databricks, Spark, and PySpark
- Experience building and hosting REST APIs, AI services, and microservices using Python frameworks
- Experience with Azure AI Services, Azure OpenAI, Azure Machine Learning, or equivalent AI platforms
- Experience with LLMs, Generative AI, RAG architectures, vector databases, embeddings, and prompt engineering
- Experience implementing AI governance, model evaluation, privacy, security, and responsible AI practices
- Experience with CI/CD pipelines, Git-based version control, Infrastructure as Code, and deployment automation
- Working experience with Snowflake, including data modeling, optimization, and performance tuning
- Experience with Microsoft Azure cloud-native architecture and best practices
- Knowledge of agentic AI frameworks such as Semantic Kernel, LangChain, AutoGen, CrewAI, or similar
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
