What are the responsibilities and job description for the Senior Data QA Engineer position at Jobright.ai?
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Job Summary:
RxVantage is a small company with a big mission to connect healthcare providers with life science experts and resources. They are seeking a Senior Data QA Engineer to take ownership of QA processes for critical projects, collaborate with cross-functional teams, and ensure data quality across various systems and applications.
Responsibilities:
• Designing and owning data QA processes, including test documentation, incident tracking, and quality metrics and dashboards.
• Design and implement end-to-end test strategies for data pipelines, ETL/ELT processes, data warehouses, and reporting systems.
• Building automated data validation frameworks to ensure accuracy, consistency, and reliability of large-scale datasets
• Creating and maintaining data quality checks, test plans, and monitoring solutions across structured and semi-structured data sources
• Leading QA initiatives across data-focused projects, collaborating closely with Data Engineering, Engineering, Analytics, and Project management teams
• Developing SQL- and script-based test suites to validate data transformations, business logic, and aggregation rules.
• Supporting analytics, BI, and reporting platforms by validating data integrity, lineage, and metric correctness
• Proactively identifying data quality issues and driving resolution through detailed root cause analysis and stakeholder coordination
• Integrating automated data tests into CI/CD workflows to enable continuous data validation and faster releases
• QA best practices in the data domainMentoring other QA team members on data validation techniques, automation strategies, and QA best practices in the data domain
Qualifications:
Required:
• 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)
• 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
Preferred:
• Prior experience in healthcare, life sciences, or regulated data environments is a plus
• Experience building or supporting admin tools and internal platforms
• Experience with data observability, schema governance, or data lineage tooling
• Exposure to machine learning pipelines, business intelligence tools, or product instrumentation
• Familiarity with mobile development frameworks such as React Native or Capacitor
Company:
RxVantage provides cloud-based software that enables efficient communication of medical practices. Founded in 2008, the company is headquartered in Culver City, California, USA, with a team of 51-200 employees. The company is currently Growth Stage. RxVantage has a track record of offering H1B sponsorships.