Senior QA / Test Automation Engineer

Job Description Job Description

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 Retail 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 Track: 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.