Sr. Data Engineer

Title: Sr. Data Engineer

Location: Dallas, TX

Initial 12-month contract+ extensions

Description:

• Review business requirements, user stories and functional specs to write test plans, test cases and test scripts.
• Run manual functional, integration, regression, system and user acceptance (UAT) tests.
• Check forecasting outputs, allocation logic, replenishment orders and inventory calculations against business rules.
• Test core merchandising functions such as item setup, pricing, vendor management, purchase orders, hierarchies and promotions.
• Confirm data flows correctly between the merchandising, FAR, warehouse and point-of-sale systems.
• Use AI tools to create, organize, cleanse and check large test data sets.
• Use AI to find data anomalies, inconsistencies and quality issues in forecast and inventory data.
• Check that AI-driven forecasts and recommendations are accurate, reasonable and consistent with business rules.
• Log, track and retest defects in a defect management tool, and set their severity and priority.
• Support UAT by working with business users and documenting the results.
• Keep traceability between requirements, test cases and defects.
• Take part in Agile ceremonies and give test status updates and quality metrics.

Required Skills/Years

12+ years experience must

• 6+ years of manual software testing experience, preferably with retail or merchandising systems.
• 6+ years of experience working on Data Management,Data Engineering
• Data management skills with AI, including:
  Using AI tools (such as Microsoft Copilot, ChatGPT, Perplexity or similar) to prepare, analyze and validate data.
  Understanding data quality, data governance and data integrity principles.
  Checking AI and machine learning outputs, such as demand forecasts, for accuracy and bias.
  Handling sensitive data responsibly and following company AI and data security policies.
• Knowledge of forecasting, allocation, replenishment or supply chain processes.
• Skill in writing clear test cases and defect reports.
• Basic SQL skills for checking data.
• Experience with test management tools such as Jira, Azure DevOps or ALM.
• Strong analytical, communication and problem-solving skills.

Preferred Skills/Years

• Experience with core merchandising platforms (such as Oracle Retail, SAP, Blue Yonder or similar).
• ISTQB or a similar QA certification.
• Experience with Excel, Power BI or other data analysis tools.
• Experience in Agile/Scrum environments.
• Understanding of retail inventory and planning metrics.

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