Quality Engineer

Change Healthcare•Eden Prairie, MN

20d

About The Position

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. 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.

Requirements

Bachelor's Degree in Computer Science, Information Systems, Engineering, or related field
3+ years of experience in QA/testing with a focus on data warehouse, ETL, or BI testing
3+ years of experience with SQL skills for data validation and test automation
3+ years of experience with QA tools like HP ALM, JIRA, ADO or any test management tool
3+ years of experience in writing test cases and executing manual, automated tests and experience with automated tests in data warehouse

Nice To Haves

Advanced Tools & Technologies: Strong understanding of Bronze/Silver/Gold data architecture in modern data platforms (e.g., Databricks, Snowflake, Azure Synapse)
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
ISTQB or equivalent QA certification
Familiarity with data warehouse concepts (star/snowflake schema, fact/dimension tables)
Strong analytical and problem-solving skills
Excellent communication and documentation abilities
Strong understanding of data quality, data profiling, and reconciliation techniques

Responsibilities

Validating ETL (Extract, Transform, Load) Processes using AI tools
Verifying source-to-target data mappings
Testing data transformations
Leveraging AI CoPilot, Python 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
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