We're looking for a Senior Data QA Engineer to join our fully remote engineering team. As a senior-level role, you'll take ownership of QA processes for mission-critical projects and collaborate closely with cross-functional teams to design scalable QA strategies.
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
- Build and maintain data quality automation frameworks using SQL, JavaScript/Python, or test platforms like DBT tests, Apache Airflow validations, etc.
- Understanding of the data governance concepts and experience with data governance tools or platforms
- Understanding of cloud infrastructure (AWS preferred), CI/CD workflows, and containerization (Docker, Kubernetes)
- 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 Premium Option for Employee’s Medical, 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