Senior QA / Test Automation Engineer

Senior QA/Test Automation Engineer (Retail)

Are you a QA expert who loves data and knows how to leverage AI to test smarter?

We are seeking a Senior QA/Test Automation Engineer with R etail experience for an initial 12-month contract to join a team onsite in Dallas, TX (75236) .

In this unique hybrid role , you will sit right at the intersection of Quality Assurance and Data Engineering . You will be responsible for ensuring Forecasting, Allocation, and Replenishment (FAR) systems and Core Merchandising Platforms run on flawless, trusted information . If you have a passion for supply chain logistics, retail, data workflows, and using cutting-edge AI tools (like Copilot, ChatGPT, or Perplexity) to manipulate, clean, and validate massive datasets, this is the perfect opportunity for you.

What You ll Do (The Day-to-Day) :

• Validate the Lifeline of Retail : Test core merchandising functions including item setups, pricing, vendor management, purchase orders, and promotional data flows.
• Own the Testing Lifecycle : Review business requirements and user stories to map out comprehensive test plans, scripts, and manual execution for functional, integration, regression, and User Acceptance Testing (UAT).
• Verify Complex Data & Logic : Audit forecasting outputs, allocation logic, and inventory replenishment calculations against business rules to keep store fulfillment running smoothly.
• Leverage AI for Data Quality : Use advanced generative AI tools to create, organize, cleanse, and generate large-scale test datasets. Use AI to spot data anomalies and inconsistencies before they impact stores.
• Trace and Trac k: Log and track defects meticulously, map data lineage across systems (Merchandising, FAR, WMS, and POS), and maintain clean requirement-to-test traceability.

Required Skills:

• 5+ years of software testing experience with retail, supply chain, or merchandising systems (i.e. Oracle Retail, SAP, Blue Yonder, etc.).
• Hands-on experience using AI tools (e.g., Microsoft Copilot, ChatGPT, Perplexity) to prepare, analyze, and validate complex data.
• Data Engineering Savvy - Strong foundational knowledge of data quality, data governance, and data integrity principles. Solid SQL skills for deep-dive data validation and querying.
• A clear understanding of retail supply chain mechanisms (demand forecasting, inventory allocation, and replenishment).
• Proficiency with modern test management tools ( Jira, Azure DevOps, or ALM) .

Bonus Points For Preferred Skills :

• Hands-on experience with major enterprise retail platforms ( Oracle Retail, SAP, Blue Yonder, etc.).
• ISTQB or equivalent professional QA certifications.
• Advanced skills with data analysis tools like Excel, Power BI, or similar data visualization platforms.
• Strong familiarity working in fast-paced Agile/Scrum environments .
• Understanding of retail inventory and planning metrics .