Key skills
Data engineeringPythonAI/ML techniquesCloud technologiesETL toolsBig data technologiesProblem-solvingMentoringAdaptabilitySQLAIMLLLMETLData EngineeringData WarehousingSnowflakeDatabricksSparkAirflowHadoopAWSAzureGCPGoogle CloudDockerGitHub ActionsGitHubCI/CD
About this role
Optum is a global leader in health care innovation, seeking a highly skilled Data Engineering Analyst with AI/ML expertise to drive the AI 10.0 initiative. This role involves architecting and optimizing intelligent data workflows, developing AI-driven solutions, and collaborating across teams to enhance healthcare and insurance datasets.
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
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
- 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
- All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy