Senior Data Quality Engineer

Responsibilities

• Architect and maintain end‑to‑end testing frameworks for APIs, UI/UX, data pipelines, and serverless applications.
• Define and promote best practices for quality metrics across data and application platforms.
• Design and implement frameworks for profiling, monitoring, and proactively detecting issues with critical data products.
• Leverage large language models to accelerate test case generation, document creation, code review, and synthetic/test data generation.

Requirements

• 5+ years of quality‑focused automation engineering experience.
• High bar for quality in complex applications and data systems.
• Self‑starter who drives impact with minimal direction.
• Strong programming skills in Python or Node.js; CI/CD experience.
• Experience building internal tools, automation scripts, and operational dashboards.
• Solid understanding of microservices, APIs, and backend...