The Role
Architects scalable ETL/ELT pipelines and enterprise lakehouse architectures; develops predictive machine learning models and production Generative AI, multi-agent, and RAG systems. Processes petabyte-scale data with Python, Scala, PySpark, Spark, and advanced SQL. Builds reusable features, optimizes distributed workloads, and applies software-engineering practices including testing, scalability, data quality, and continuous integration. Collaborates with research, engineering, and product teams while embedding ethical AI principles.
Summary Generated by Built In
Requisition Number: 2378276
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:
- End-to-End Data Pipeline Engineering: Architect, build, and maintain scalable, reliable, and secure ETL/ELT pipelines to ingest and process massive, complex datasets. Implement enterprise Lakehouse architectures using the Databricks or Snowflake Medallion Framework (Bronze, Silver, Gold zones)
- Predictive Analytics & Advanced Modelling: Formulate, train, validate, and deploy production-grade machine learning models to solve critical operational and strategic business challenges
- AI Engineering & Autonomous Systems: Design, build, and optimize enterprise Generative AI systems, Multi-Agent autonomous workflows, and advanced Retrieval-Augmented Generation (RAG) applications
- Big Data Processing (Python/Scala): Write high-performance, distributed code using PySpark or Scala Spark to transform petabyte-scale structured and unstructured data, ensuring optimal cluster configuration and resource management
- Advanced SQL Development: Write highly intricate SQL queries, window functions, and dynamic transformations optimized for Databricks SQL Warehouses, performance tuning
- Core Technical Skill Set
- Data Engineering & Big Data (The Foundation)
- Databricks or Snowflake Ecosystem: Deep fluency in Unity Catalog, Delta Lake storage management, Delta Live Tables, and access controls
- Core Languages: Advanced programming skills in Python and/or Scala applied to distributed computing
- Distributed Processing & SQL: Expert-level Spark Core/Spark SQL optimization, memory management tuning, and troubleshooting data skewness. Expert in complex ANSI SQL/T-SQL syntax
- Predictive Analytics & Machine Learning (The Intelligence)
- ML Ecosystem: Deep familiarity with Predictive Analytics & Machine Learning libraries
- Feature Engineering: Building reusable features via Databricks Feature Store to guarantee parity between training and real-time serving pipelines
- AI Engineering & Production Operations (The Cutting Edge)
- GenAI Frameworks: Strong hands-on experience with LLM APIs, Vector Search Engines and agent orchestration toolkits
- Collaborate with research, engineering, and product teams to translate cutting-edge AI advancements into production-ready capabilities. Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle
- 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:
- Bachelor's or Master's degree in Computer Science, Data Engineering, Statistics, Mathematics, or an equivalent technical/quantitative discipline
- 6+ years of professional hands-on experience covering Data Engineering, Data Science, and AI/Software Engineering
- 2+ years specialized within the Predictive Modelling
- Cloud Platform: Experience with data processing, storage and retrieval services on Azure Cloud platform
- Cloud Platform: Experience with data processing, storage and retrieval services on Azure Cloud platform
- Enterprise-scale Data Engineering experience
- Experience handling large-scale data environments
- Solid Databricks or Snowflake implementation experience
- Experience with Bronze, Silver, Gold layers (Medallion Architecture)
- Proven to build end-to-end ETL/ELT pipelines
- Proven solid software-engineering approach to data science & engineering. Prioritize AI, data quality, code scalability, testing, and continuous integration over manual notebook experimentation
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 or Master's degree in Computer Science, Data Engineering, Statistics, Mathematics, or an equivalent technical or quantitative discipline
- 6+ years of professional hands-on experience across Data Engineering, Data Science, and AI or Software Engineering
- 2+ years of specialized predictive modeling experience
- Experience with data processing, storage, and retrieval services on Azure Cloud
- Enterprise-scale data engineering experience
- Experience handling large-scale data environments
- Solid Databricks or Snowflake implementation experience
- Experience with Bronze, Silver, and Gold layers using Medallion Architecture
- Proven experience building end-to-end ETL/ELT pipelines
- Software-engineering approach to data science and engineering, including AI, data quality, scalable code, testing, and continuous integration
Optum Compensation & Benefits Highlights
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Parental & Family Support — Paid parental leave (six weeks), paid caregiver leave (up to two weeks), Bright Horizons back-up care, and adoption assistance up to $10,000 are prominently included. Feedback suggests these family supports meaningfully aid work-life balance and are often highlighted as strengths.
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Retirement Support — A 401(k) with company match is available to all employees, including part-time staff, alongside other financial protections like disability and life insurance. Feedback suggests broad access and matching make retirement support a core pillar of the package.
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Equity Value & Accessibility — An Employee Stock Purchase Plan offers discounted company stock, with some roles also eligible for sign-on or performance bonuses. Feedback suggests the ESPP is a standout financial perk that helps employees build ownership over time.
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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
