Sr Data Engineer

Senior Engineer Specializing In Healthcare Effectiveness Data And Information Set (HEDIS) Measures And Clinical Quality DataOptum 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, and data 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.You'll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.Position SummaryAs 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.Primary ResponsibilitiesDesign, build, and maintain scalable data pipelines in Snowflake to ingest, transform, and manage complex clinical and claims data for HEDIS measure processingIntegrate 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 identificationOptimize Snowflake queries, data models, snowpipes, and data warehouse performance for large-scale healthcare data analyticsCollaborate with clinical quality, Stars, and reporting teams to translate NCQA/HEDIS specification requirements into technical logic and automated data workflowsImplement robust data quality checks, data governance, security protocols, and HIPAA-compliant data practices across all Snowflake and AI pipelinesMentor junior engineers and collaborate with cross-functional technical teams to continuously refine technical architecture and MLOps/DataOps practicesDesign, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AIYou'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.Required Qualifications6+ years of experience in data engineering, software engineering, or data warehouse architecture within the healthcare industry3+ 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 processing2+ years of experience integrating Artificial Intelligence, Machine Learning, or Natural Language Processing (NLP) models into data pipelinesPreferred QualificationsBachelor's or Master's degree in Computer Science, Data Engineering, Healthcare Informatics, or a related technical field3+ years of experience with Healthcare Effectiveness Data and Information Set (HEDIS) measures, clinical quality data, or medical claims processingExperience with Snowpark Python/Java or Cortex AI capabilities within SnowflakeExperience 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)Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. 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.Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.