Senior Software Engineer

Posted Yesterday
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Eden Prairie, MN, USA
In-Office
92K-164K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The Role
Develop scalable Azure cloud services and data platforms, including microservices, ETL/ELT pipelines, APIs, and machine learning data solutions. Build and optimize Databricks, Spark, Snowflake, and SQL systems; implement AI and LLM-based workflow automation; improve data reliability and performance; establish data engineering standards; collaborate with stakeholders; and mentor data engineers.
Summary Generated by Built In
Requisition Number: 2379038
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 will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
  • Develops services, controls, and reusable patterns that enable the team to deliver value safely, quickly, and sustainably in the public cloud
  • Develop highly scalable applications for the Azure cloud by building microservices, Azure functions, and patterns for public cloud enabling security and privacy at scale
  • Foster high-performance, collaborative technical work resulting in high-quality output
  • Understand new product capabilities and decompose the implementation into specific functional changes for verification
  • Gather and analyze data to aid in informed decision-making while providing detailed, realistic estimates
  • Interact skillfully with business stakeholders and third-party technical organizations
  • Design and develop ETL/ELT solutions on Azure Databricks, LakeBase and Spark
  • Develop, implement, and deploy large scale data pipelines empowering machine learning algorithms, insights generation, business intelligence dashboards, reporting and new data products
  • Design, build, optimize, and manage modern large-scale data pipelines ETL/ELT processing to support data integration for analytics, machine learning features and predictive modelling
  • Write advanced / complex SQL with performance tuning and optimization
  • Build AI based solutions for solving business needs, process automations and improving operational efficiency
  • Identify ways to improve data reliability, data integrity, system efficiency and quality
  • Participate in architectural evolution of data engineering patterns, frameworks, systems, and platforms including defining best practices and standards for managing data collections and integration
  • Mentor other data engineers and provide technical direction by teaching other data engineers how to leverage cloud data platforms

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.
Required Qualifications:
  • Bachelor's degree
  • 7 + years of experience in data engineering, data integration, data modeling, data architecture, and ETL/ELT processes to provide quality data and analytics solutions
  • 7 + years of experience in Python, Scala
  • 5 + years of experience in Apache Spark (PySpark/Spark SQL)
  • 5+ years of experience in SQL with designing complex data schemas and query performance optimization
  • 3+ years of experience with DevOps automation with Terraform
  • 3+ years of experience with API design and lifecycle management (GraphQL, REST, etc.)
  • 3+ years of experience building and deploying Cloud based solutions using - Azure Databricks with UC, Snowflake, Functions, Service Bus
  • 3+ years of experience building LLM integrations for workflow automation/business needs

Preferred Qualifications:
  • Bachelor's degree in Computer Science, Engineering, Mathematics or related discipline
  • Extensive knowledge of data architecture principles (e.g., Data Lake, Databricks Delta Lake, Data Warehousing, etc.)
  • Extensive knowledge of data modelling techniques including slowly changing dimensions, aggregation, partitioning and indexing strategies
  • Experience working with LLMs
  • Ability to independently troubleshoot and performance tune large scale enterprise systems
  • Excellent collaborator with experience working effectively with cross-functional teams such as leadership, product management and engineering, with a willingness to inspire other data engineers, data scientists and analysts
  • Solid communication skills with the ability to communicate technical concepts to both technical and non-technical audiences

*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 - $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 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
  • 7+ years of experience in data engineering, data integration, data modeling, data architecture, and ETL/ELT processes
  • 7+ years of experience with Python and Scala
  • 5+ years of experience with Apache Spark, including PySpark or Spark SQL
  • 5+ years of experience with SQL, complex data schemas, and query performance optimization
  • 3+ years of experience with DevOps automation using Terraform
  • 3+ years of experience with API design and lifecycle management, including GraphQL or REST
  • 3+ years of experience building and deploying cloud solutions using Azure Databricks with Unity Catalog, Snowflake, Azure Functions, and Azure Service Bus
  • 3+ years of experience building LLM integrations for workflow automation or business needs
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related discipline
  • Extensive knowledge of data architecture principles, including data lakes, Databricks Delta Lake, and data warehousing
  • Extensive knowledge of data modeling techniques, including slowly changing dimensions, aggregation, partitioning, and indexing strategies
  • Experience working with LLMs
  • Ability to independently troubleshoot and performance-tune large-scale enterprise systems
  • Experience collaborating effectively with leadership, product management, engineering, data scientists, and analysts
  • Strong communication skills for explaining technical concepts to technical and non-technical audiences

What the Team is Saying

Optum Compensation & Benefits Highlights

  • Parental & Family Support Paid parental leave (six weeks), paid caregiver leave (up to two weeks), Bright Horizons back-up care, and adoption assistance up to $10,000 are prominently included. Feedback suggests these family supports meaningfully aid work-life balance and are often highlighted as strengths.
  • Retirement Support A 401(k) with company match is available to all employees, including part-time staff, alongside other financial protections like disability and life insurance. Feedback suggests broad access and matching make retirement support a core pillar of the package.
  • Equity Value & Accessibility An Employee Stock Purchase Plan offers discounted company stock, with some roles also eligible for sign-on or performance bonuses. Feedback suggests the ESPP is a standout financial perk that helps employees build ownership over time.

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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
Metro Manila, Philippines
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Ann Arbor, MI
Atlanta, GA
Baltimore, MD
Bengaluru, India
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Minneapolis, MN
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Philadelphia, PA
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Raleigh, NC
San Diego, CA
Washington, DC
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