
Quality Engineer
- Basking Ridge, NJ
- $71,200-127,200 per year
- Permanent
- Full-time
- 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
- 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
Advanced Tools & Technologies:
- 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