Senior Data Engineering Analyst

Data Engineer

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.

Primary Responsibilities:
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
Comply with the terms and conditions of the employment contract, company
policies and procedures, and any and all directives (such as, but not limited to,
transfer and/or re-assignment to different work locations, change in teams and/or
work shifts, policies in regards to flexibility of work benefits and/or work
environment, alternative work arrangements, and other decisions that may arise
due to the changing business environment). The Company may adopt, vary or
rescind these policies and directives in its absolute discretion and without any
limitation (implied or otherwise) on its ability to do so

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

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.

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

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.