Data Engineering Analyst with AI/ML - Remote

UnitedHealth Group•Minnetonka, MN

2d•Remote

About The Position

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care’s most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? 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 health care - 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 a minimum of four days per week. You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Requirements

Hands-on experience in data engineering and backend automation
Proven solid expertise in Python, PySpark, T-SQL, SQL, and big data technologies (Hadoop, Spark)
Experience with ETL tools, workflow orchestration (ex- Airflow), and data warehousing (ex-Snowflake)
Proficiency in cloud technologies: Azure (Databricks, ML Studio), AWS, GCP
Demonstrated familiarity with CI/CD pipelines, GitHub Actions, and containerization tools (Docker)
Ability to work independently and mentor junior team members
Proven excellent problem-solving skills and adaptability in a fast-paced environment

Nice To Haves

Experience with cloud platforms (Google Cloud, AWS, Azure) for AI/ML deployments
Familiarity with AI principles and compliance standards in healthcare
Knowledge of healthcare or insurance domain data

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