RxVantage
Position Overview
We're looking for a US-based
Senior Data QA Engineer
to join our high-performing, fully remote engineering team. This is a senior-level role for someone who thrives in fast-paced environments, excels at solving complex problems, and is comfortable leading technical initiatives across product, data, and analytics domains through both technical expertise and an inquisitive, curious mindset.
In this role, you'll take ownership of QA processes for mission-critical projects—ranging from customer-facing applications to backend systems and large-scale data workflows. You'll collaborate closely with cross-functional teams to design scalable QA strategies, guide their execution, and ensure best practices are applied across the stack and teams.
You should bring a strong background in quality assurance with hands-on experience in data validation, test automation, and modern QA practices across APIs, data pipelines, and web applications. The ideal candidate is a confident QA leader—comfortable working in complex systems, resolving ambiguity, and driving clarity through structured test strategies. You'll not only define and execute comprehensive test plans, but also help shape how we ensure data and system quality at scale.
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.
Establishing QA best practices in the data domain and mentoring other QA team members on data validation techniques, automation strategies, and QA best practices in the data domain.
Qualifications Technical Skills
7+ years of experience in QA
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 TestRail, 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)
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
Bonus Points
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
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
Location Our Work from Anywhere philosophy is aimed at making sure that we recruit a diverse range of thought leadership to ensure that our technology is better able to serve local health care providers. Our goal is to hire the country\'s top talent and allow them to create an environment within the U.S. where they can do their best work.
About Our Organization RxVantage is a small company with a big mission: to connect healthcare providers with the right life science experts and resources they need, exactly when they need them, to improve patient care. We\'ve built a software platform that\'s changing the way providers learn about the latest medical advancements and technologies. Every year, our platform powers over 1 million educational exchanges between medical practices and life science companies, making it easier for them to stay informed and provide better care.
RxVantage is an equal opportunity employer and dedicated to ensuring that we represent the local communities where our health and wellbeing providers serve as pillars of support to our family, friends, and neighbors. Our representation within these communities allows us to embody a diverse set of backgrounds, experiences, abilities and perspectives; and provide an inclusive environment for our team to feel empowered to be their authentic selves, without fear of harassment or discrimination.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
#J-18808-Ljbffr
Senior Data QA Engineer
to join our high-performing, fully remote engineering team. This is a senior-level role for someone who thrives in fast-paced environments, excels at solving complex problems, and is comfortable leading technical initiatives across product, data, and analytics domains through both technical expertise and an inquisitive, curious mindset.
In this role, you'll take ownership of QA processes for mission-critical projects—ranging from customer-facing applications to backend systems and large-scale data workflows. You'll collaborate closely with cross-functional teams to design scalable QA strategies, guide their execution, and ensure best practices are applied across the stack and teams.
You should bring a strong background in quality assurance with hands-on experience in data validation, test automation, and modern QA practices across APIs, data pipelines, and web applications. The ideal candidate is a confident QA leader—comfortable working in complex systems, resolving ambiguity, and driving clarity through structured test strategies. You'll not only define and execute comprehensive test plans, but also help shape how we ensure data and system quality at scale.
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.
Establishing QA best practices in the data domain and mentoring other QA team members on data validation techniques, automation strategies, and QA best practices in the data domain.
Qualifications Technical Skills
7+ years of experience in QA
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 TestRail, 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)
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
Bonus Points
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
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
Location Our Work from Anywhere philosophy is aimed at making sure that we recruit a diverse range of thought leadership to ensure that our technology is better able to serve local health care providers. Our goal is to hire the country\'s top talent and allow them to create an environment within the U.S. where they can do their best work.
About Our Organization RxVantage is a small company with a big mission: to connect healthcare providers with the right life science experts and resources they need, exactly when they need them, to improve patient care. We\'ve built a software platform that\'s changing the way providers learn about the latest medical advancements and technologies. Every year, our platform powers over 1 million educational exchanges between medical practices and life science companies, making it easier for them to stay informed and provide better care.
RxVantage is an equal opportunity employer and dedicated to ensuring that we represent the local communities where our health and wellbeing providers serve as pillars of support to our family, friends, and neighbors. Our representation within these communities allows us to embody a diverse set of backgrounds, experiences, abilities and perspectives; and provide an inclusive environment for our team to feel empowered to be their authentic selves, without fear of harassment or discrimination.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
#J-18808-Ljbffr