Sr Data Engineer

Posted 3 Days Ago
Be an Early Applicant
Eden Prairie, MN, USA
In-Office
92K-164K Hourly
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The Role
Design, build, and operate scalable cloud-native ETL/ELT pipelines and data platforms (Databricks/Snowflake). Ensure data quality, governance, performance tuning, CI/CD, and support analytics and AI/ML workloads while mentoring junior engineers.
Summary Generated by Built In
Requisition Number: 2368369
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.
The Optum Clinical Platform (OCM) a top five initiative, to provide a single medical management platform. OCM will enable clinical programs to meet their very specific business needs while maintaining consistent case and individual health data across the continuum of care services across our enterprise.
Our end-goal is to better nurture a lifelong relationship with our patients, members, clinicians and partners to achieve the best health outcomes and lowest healthcare costs by connecting patients and providers simply and seamlessly across touchpoints of care. We will achieve this by:
  • Developing a clinical platform that enables reusability, improves speed to market, and reduces redundancy of systems across the enterprise to achieve cost containment.
  • Leveraging our platform offerings by allowing lines of business to select from existing products already built, allowing every line of business to seamlessly stitch together solutions to meet their custom end-to-end needs in a faster and cost-efficient manner.
  • Fostering collaboration by encouraging a federated model, allowing lines of business to build in a low code/no code environment, creating a simple way to turn business goals into reality.

Primary Responsibility:
  • Design, build, and operate scalable ETL/ELT pipelines for structured and semi-structured data across internal and external sources
  • Develop cloud-native data solutions on modern data platforms (e.g., Databricks lakehouse, Snowflake)
  • Apply data modeling, transformations, and enrichment to produce trusted, analytics-ready datasets
  • Ensure data quality, reliability, and auditability through validation, reconciliation, and monitoring
  • Implement and follow enterprise data governance, security, and compliance standards
  • Optimize data workloads for performance, cost efficiency, and operational reliability
  • Support modernization efforts, including migration of legacy ETL pipelines to cloud-native architectures
  • Partner with product, analytics, and business stakeholders to translate requirements into production-grade data solutions
  • Enable downstream analytics, reporting, and AI/ML workloads through well-designed data assets
  • Apply software engineering best practices, including CI/CD, version control, testing, and code reviews
  • Contribute to architectural discussions and mentor junior engineers
  • 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 direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering related field
  • 5+ years of experience as a Data Engineer or in data platform / analytics engineering roles
  • 3+ years of experience with SQL, data modeling, and data transformations
  • 3+ years of hands-on experience with Databricks and/or Snowflake and large-scale data processing
  • 3+ years of experience building ETL/ELT pipelines, data warehouses, and analytical data stores
  • 3+ years of experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD)

Preferred Qualifications
  • Experience building enterprise-scale data platforms
  • Strong skills in performance tuning and debugging large-scale pipelines
  • Experience with real-time/streaming frameworks (Structured Streaming)
  • Ability to work in distributed, cross-functional global teams
  • Exposure to GenAI tools (e.g., GitHub Copilot) for engineering productivity
  • Strong understanding of secure coding practices and vulnerability remediation
  • Proven ability to analyze logs, troubleshoot production issues, and optimize performance
  • Demonstrated capability to design and deploy AI-powered solutions responsibly

*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 hourly pay for this role will range from $91,700 to $163,700 per hour 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 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.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.
#RPO #GREEN

Skills Required

  • Bachelor's degree in Computer Science or related engineering field
  • 5+ years experience as a Data Engineer or in data platform/analytics engineering roles
  • 3+ years experience with SQL, data modeling, and data transformations
  • 3+ years hands-on experience with Databricks and/or Snowflake and large-scale data processing
  • 3+ years building ETL/ELT pipelines, data warehouses, and analytical data stores
  • 3+ years experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD)
  • Experience building enterprise-scale data platforms
  • Strong skills in performance tuning and debugging large-scale pipelines
  • Experience with real-time/streaming frameworks (Structured Streaming)
  • Ability to work in distributed, cross-functional global teams
  • Exposure to GenAI tools (e.g., GitHub Copilot) for engineering productivity
  • Strong understanding of secure coding practices and vulnerability remediation
  • Proven ability to analyze logs, troubleshoot production issues, and optimize performance
  • Demonstrated capability to design and deploy AI-powered solutions responsibly

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The Company
HQ: Eden Prairie, MN
160,000 Employees
Year Founded: 2011

What We Do

Optum, part of the UnitedHealth Group family of businesses, 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. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.

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Optum Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models, core on‑site (5 days/week), hybrid (4 days/week) and telecommute or fully remote, vary by country, role and location.

Typical time on-site: Not Specified
HQEden Prairie, MN
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