Sr Data Engineer

UnitedHealth Group•Eden Prairie, MN

3d•$91,700 - $163,700•Remote

About The Position

As a Senior Engineer specializing in Healthcare Effectiveness Data and Information Set (HEDIS) measures and clinical quality data, you will lead the architecture, transformation, and optimization of clinical data solutions using Snowflake and AI/ML technologies. You will partner with business analysts, clinical quality leaders, and data science teams to build scalable, AI-enhanced data pipelines that streamline HEDIS reporting, automated chart abstraction, quality measure analytics, and care gap identification. This role combines deep healthcare domain expertise in HEDIS/Stars with modern cloud data platform engineering and AI capabilities.

Requirements

6+ years of experience in data engineering, software engineering, or data warehouse architecture within the healthcare industry
3+ years of hands-on experience designing, developing, and optimizing data solutions on Snowflake (including SQL, Snowpark, or data modeling)
3+ years of experience developing in Python, SQL, or Scala for automated data processing
2+ years of experience integrating Artificial Intelligence, Machine Learning, or Natural Language Processing (NLP) models into data pipelines

Nice To Haves

Bachelor's or Master's degree in Computer Science, Data Engineering, Healthcare Informatics, or a related technical field
3+ years of experience with Healthcare Effectiveness Data and Information Set (HEDIS) measures, clinical quality data, or medical claims processing
Experience with Snowpark Python/Java or Cortex AI capabilities within Snowflake
Experience with NCQA HEDIS digital measure specifications (e.g., dQMs, FHIR, Quality Data Model)
Experience with cloud orchestration tools and CI/CD pipelines (e.g., Airflow, Azure DevOps, Jenkins, Docker)

Responsibilities

Design, build, and maintain scalable data pipelines in Snowflake to ingest, transform, and manage complex clinical and claims data for HEDIS measure processing
Integrate Artificial Intelligence and Machine Learning models (such as natural language processing and predictive analytics) into Snowflake data workflows to automate clinical data extraction and care gap identification
Optimize Snowflake queries, data models, snowpipes, and data warehouse performance for large-scale healthcare data analytics
Collaborate with clinical quality, Stars, and reporting teams to translate NCQA/HEDIS specification requirements into technical logic and automated data workflows
Implement robust data quality checks, data governance, security protocols, and HIPAA-compliant data practices across all Snowflake and AI pipelines
Mentor junior engineers and collaborate with cross-functional technical teams to continuously refine technical architecture and MLOps/DataOps practices
Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI