We're looking for a Senior Data QA Engineer to join our remote engineering team. You'll be responsible for designing and owning data QA processes, building automated data validation frameworks, and leading QA initiatives across data-focused projects.
Requirements
- 7+ years of experience in QA area
- 4+ years of experience as a Data QA Engineer/Data QA Analyst
- Deep understanding of general QA process, test design techniques and industry standards
- Strong expertise in scripting programming languages (JavaScript/Python)
- Proven experience designing, building, and scaling Data QA processes
- Experience managing QA for projects and working in standard QA and project management tools like Testrails, Jira, Confluence
- Experience with white/grey box testing
- Comfortable building, supporting, and integrating with production-grade ETL/data pipelines
- Understanding of cloud infrastructure (AWS preferred), CI/CD workflows, and containerization (Docker, Kubernetes)
- Business Skills
- Capable of leading Data QA projects across both application and data-focused initiatives
- Strong communication skills with an ability to bridge technical and non-technical stakeholders
- Demonstrated experience mentoring QA analysts and QA engineers and contributing to QA culture and growth
- Experience in fast-paced startup or scaling environments
- Prior experience in healthcare, life sciences, or regulated data environments is a plus
Benefits
- Competitive Salary
- 100% Company-Paid Premiums for Employee’s Medical Health, Vision, and Dental Plans
- Short-term and Long-term Disability
- Life Insurance
- 401k Matching
- Work from Anywhere within the US
- Flexible PTO
- 100% Paid Parental Leave
- Post-Parental Leave Program - $5k stipend to assist with expenses, 4 week 100% paid “Ease-Back” return to work transition period
- Charitable donation matching