Senior Data QE/Data Test Automation Engineer

📢 We’re Hiring: Senior Data QE / Data Test Automation Engineer
VISA: H1B,H4EAD,L2,E3
📍 Location: Charlotte, NC — Local Candidates Only
We are looking for an experienced Data Quality Engineering (Data QE) professional with strong expertise in Python automation, SQL, AWS data services, and AI-assisted engineering practices.
🔹 Mandatory Skills
8+ years of experience in Data QE / Data Testing
Python-based test automation using PyTest
REST API validation and integration testing
Strong expertise in complex SQL queries
AWS validation experience with S3, Glue, Athena, and RDS
Knowledge of Generative AI, LLM platform concepts, ETL processes, and data validation
🤖 AI & Modern Engineering Practices
Experience with AI coding tools such as Cursor and GitHub Copilot
Ability to leverage AI for test case generation, test data creation, and automation script development
💼 Key Responsibilities
Develop and maintain Python automation frameworks and regression suites
Execute complex SQL-based validation and data reconciliation
Validate AWS Glue jobs, data transformations, and data quality rules
Perform API validation and integration testing
Conduct source-to-target validation for data migration and transformation initiatives
Drive AI-assisted engineering practices to improve quality and delivery efficiency
Contribute hands-on to coding, test automation, and data validation
⭐ Nice to Have
Experience testing Generative AI, LLM, or Agentic AI platforms
Experience validating RAG-based applications
📩 Interested candidates: Please or connect via LinkedIn DM.
⚠️ Important: Only local candidates in the Charlotte, NC area will be considered.
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