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Quality Engineer

Optum

Basking Ridge (NJ)

Remote

USD 71,000 - 128,000

Full time

Today
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Job summary

A global healthcare organization is seeking a Quality Assurance professional in Basking Ridge, NJ. This role involves ensuring the accuracy and quality of data within the enterprise data warehouse while collaborating with teams to identify and resolve data issues. The position allows for telecommuting and offers a comprehensive benefits package with a competitive salary range of $71,200 to $127,200 annually.

Benefits

Comprehensive benefits package
Incentive programs
401k contribution

Qualifications

  • 5+ years of experience in QA/testing with a focus on data warehouse, ETL, or BI testing.
  • 2+ years of experience with SQL for data validation and test automation.
  • 2+ years of experience in writing and executing manual and automated tests.

Responsibilities

  • Ensure accuracy, integrity, and quality of data within the data warehouse.
  • Collaborate with data engineers, business analysts, and developers.
  • Conduct testing of data transformations and validations.

Skills

QA/testing experience
SQL skills
Experience with QA tools
Writing test cases
Analytical skills

Education

Bachelor's Degree in Computer Science, Information Systems, Engineering, or related field

Tools

HP ALM
JIRA
ADO
Job description

United States, New Jersey, Basking Ridge

Oct 02, 2025

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.

An EDW (Enterprise Data Warehouse) QA (Quality Assurance) professional is responsible for ensuring the accuracy, integrity, and quality of data within the data warehouse environment.

You will enjoy the flexibility to telecommute from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

  • Leverage enterprise-approved AI tools to enhance productivity and innovation by streamlining workflows and automating repetitive tasks. Evaluate emerging trends to drive continuous improvement and strategic innovation
  • Generally, work is self-directed and not prescribed
  • Works with less structured, more complex issues
  • Good hands-on experience with testing terminologies
  • ETL (Extract, Transform, Load) processes, verifying source-to-target data mappings, testing data transformations, and ensuring that reports and dashboards reflect accurate business information
  • Collaborate closely with data engineers, business analysts, and developers to identify data issues, create comprehensive test plans and test cases, and support defect resolution throughout the development lifecycle
  • Exposure to AI/ML model validation or testing data pipelines that support machine learning workflows
  • With every role in the company, each position has a requirement for building quality into every output. The Technology Quality Function is reserved for those positions where Quality is the primary objective of the work delivered
  • Technology Quality roles will cover all primary quality activity across all technological functions that ensure we deliver high quality products and services
  • These roles include, but are not limited to, strategy, planning, standards, process, policy, tools, engineering, assurance, management, metrics, research and development, automation, data preparation, maintenance, new development, operations and delivery
  • Serves as a resource for others

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, Information Systems, Engineering, or related field
  • 5+ years of experience in QA/testing with a focus on data warehouse, ETL, or BI testing
  • 2+ years of experience with SQL skills for data validation and test automation
  • 2+ years of experience with QA tools like HP ALM, JIRA, ADO or similar
  • 2+ years of experience in writing test cases and executing manual and automated tests

Preferred Qualifications:

  • Experience with cloud data platforms (e.g., Snowflake)
  • Familiarity with data visualization tools (e.g., Tableau, Power BI)
  • Scripting experience in Python or Shell for test automation
  • Experience in domains like Medicaid (Healthcare), Claims and Providers
  • Exposure to AI/ML model validation or testing data pipelines that support machine learning workflows
  • Familiarity with data warehouse concepts (star/snowflake schema, fact/dimension tables)
  • Strong analytical and problem-solving skills
  • Strong understanding of data quality, data profiling, and reconciliation techniques
  • Experience in validating data pipelines and data transformations

We offer a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution. The salary for this role will range from $71,200 to $127,200 annually based on full-time employment.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.

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.

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