Quality Engineer
About The Position
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. You will enjoy the flexibility to telecommute from anywhere within the U.S. as you take on some tough challenges. Technology Quality roles will cover all primary quality activity across all technological functions that ensure we deliver high quality products and services. Generally, work is self-directed and not prescribed. Works with less structured, more complex issues. Serves as a resource for others. 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. 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.
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
- 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
- Strategy, planning, standards, process, policy, tools, engineering, assurance, management, metrics, research and development, automation, data preparation, maintenance, new development, operations and delivery
Benefits
- comprehensive benefits package
- incentive and recognition programs
- equity stock purchase
- 401k contribution
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
