Data Engineer with AI/ML

UnitedHealth Group•Minnetonka, MN

10h•$72,800 - $130,000•Remote

About The Position

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 diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. UHC Technology is focused on driving change, modernization, and ensuring reliable and stable systems so that we can help to transform healthcare - making it easier, more affordable, and more effective for those we serve. We are passionate about technology and the role it plays to create distinctive experiences to our constituents. While we are always focused on how technology can help us deliver faster and with improved quality, we are far more enthusiastic about the ways technology can reinvent how we deliver on our mission in partnership with the UHC lines of business and Optum Technology. We are seeking a highly skilled and motivated Data Engineering Analyst with AI/ML expertise to drive the AI 10.0 initiative. This role blends deep expertise in data engineering, automation, and cloud-native development with hands-on experience in advanced AI/ML techniques, Large Language Models (LLMs), prompt engineering, and agentic frameworks. You will architect, build, and optimize intelligent data workflows, develop and fine-tune models, and collaborate across teams to deliver high-impact solutions for healthcare and insurance datasets. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office for a minimum of four days per week.

Requirements

Bachelor’s degree in CS or IT related field
5+ years of hands-on experience in data engineering and backend automation
5+ years of experience in Python, PySpark (Databricks), T-SQL, SQL, and big data technologies (Hadoop, Spark)
5+ years of experience with ETL tools, workflow orchestration (Airflow), and data warehousing (Snowflake or similar)
1+ years of experience in any one of the cloud technologies like Azure (ML Studio), AWS, GCP
1+ years of experience with CI/CD pipelines, GitHub Actions, and containerization tools (Docker)
1+ years of experience with Agile methodologies and DevOps practices
6+ months of experience with Generative AI frameworks/architectures (LangChain, HuggingFace, OpenAI APIs)
6+ months of experience with AI/ML concepts including Generative AI, LLMs (GPT, Gemini, LLaMA), and prompt engineering

Nice To Haves

Understanding of Responsible AI principles and engineering best practices
Familiarity with healthcare or health insurance domain data and compliance standards
Excellent problem-solving skills and ability to handle ambiguity

Responsibilities

Design and develop AI-driven solutions using LLMs to automate claims adjudication processes
Build and optimize prompt engineering strategies for LLM-based applications
Implement and integrate agentic frameworks to enable autonomous decision-making workflows
Architect and deploy scalable data pipelines and AI workflows leveraging Python and related technologies
Collaborate with cross-functional teams to ensure compliance with healthcare data standards and Responsible AI principles
Contribute to model development, evaluation, and fine-tuning for production environments
Mentor junior engineers and foster knowledge-sharing within the team
Work independently to deliver innovative solutions aligned with business objectives
Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI