UnitedHealth Group

UnitedHealth Group is a healthcare and well-being company that’s dedicated to improving the health outcomes of millions around the world. We are comprised of

Senior Data Engineer

Location

United States

Posted

4 days ago

Salary

$91.7K - $163.7K / year

Seniority

Senior

Job Description

Senior Data Engineer

UnitedHealth Group

Role Description 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. - Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on the responsible use of AI. - Architect and optimize complex ETL processes and data pipelines using Databricks (Spark, SQL, Python) or other enterprise-scale integration tools to ensure high-performance processing of large-scale datasets. - Evaluate emerging trends in ETL frameworks and AI to inform solution design and drive strategic innovation within the analytics platform. - Use enterprise-approved AI tools to automate data engineering workflows, streamline ETL maintenance, and drive continuous improvement in engineering velocity. - Implement advanced data modeling techniques, such as star schemas and incremental loads, to ensure data integrity and scalability across all ETL layers. - Build and maintain executive-level dashboards and semantic models in Power BI, ensuring seamless data flow from backend ETL processes to end-user visualizations. - Partner with product and business leaders to translate complex business requirements into robust, automated data integration solutions. - Lead technical coordination within a global delivery model, ensuring consistency and quality of ETL standards across onshore and offshore teams. Qualifications - Bachelor's degree or equivalent experience. - 6+ years of experience in analytics engineering, business intelligence, or data engineering roles delivering enterprise-scale analytics solutions. - 5+ years of Cloud experience (Azure, GCP, AWS, or OCI). - 5+ years of experience in programming languages such as Python, Java, etc. - 4+ years of hands-on experience using Databricks (Spark, SQL, Python, notebooks) or other major ETL platforms to build and optimize large-scale data pipelines. - 4+ years of experience in data modeling (star schemas, semantic modeling, incremental loads, large datasets) and advanced SQL. - 1+ years of experience delivering AI-driven analytics or data solutions. Requirements - Healthcare industry experience, specifically in clinical or real-time analytics. - Experience with ETL orchestration tools (e.g., Airflow, Azure Data Factory) and managing data lineage in governed environments. - Experience developing AI-driven automations or integrating large language models (LLMs) into data products and ETL workflows. - Experience with Power BI, Tableau or other visualization tools, including advanced DAX, Power Query, and semantic modeling. - Demonstrated experience working in global delivery models with effective onshore-offshore collaboration. - Proven ability to solve complex technical problems with a focus on data processing efficiency and system scalability. Benefits - Comprehensive benefits package. - Incentive and recognition programs. - Equity stock purchase. - 401k contribution (all benefits are subject to eligibility requirements).

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