UnitedHealth Group

Senior Data Engineer

$92K–$164KFull-time · Raleigh, NC
✓ Verified live on the employer's own system · added 2 days ago
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Senior · 6+ yrs exp

Requirements

Education: Bachelor's degree

Experience: 6+ years

Skills & tools

DatabricksSQLPythonData AnalysisMaintenanceProcess ImprovementPower BiCloud Platforms

Benefits — mentioned in this posting

Equity / stock401(k) / retirement
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Full job description

Optum 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, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities.

Come make an impact on the communities we serve as you help us advance health optimization 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.

  • 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
  • Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

  • 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
  • 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

All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.

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).

No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. 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.

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 believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes.

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.

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This posting was published by UnitedHealth Group on their own careers system and is shown here with a direct link to apply there. Employers: for corrections or removal, contact jobs@veritahire.com.