
Quality Engineer
- Eden Prairie, MN
- $71,200-127,200 per year
- Permanent
- Full-time
- 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
- Technology Quality roles will cover all primary quality activity across all technological functions that ensure we deliver high quality products and services
- Strategy, planning, standards, process, policy, tools, engineering, assurance, management, metrics, research and development, automation, data preparation, maintenance, new development, operations and delivery
- Generally, work is self-directed and not prescribed
- Works with less structured, more complex issues
- Serves as a resource for others
- User: 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
- 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 similar
- 3+ years of experience in writing test cases and executing manual, automated tests and experience with automated tests in data warehouse
- Advanced Tools & Technologies:
- 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