{"schemaVersion":"jobsearcher.job.v1","id":"67fa2e1f49c0a09a62e70232","url":"https://jobsearcher.com/jobs/67fa2e1f49c0a09a62e70232","canonicalUrl":"https://jobsearcher.com/jobs/67fa2e1f49c0a09a62e70232","title":"Senior Data QA Engineer","description":"For our client, we are seeking a Senior Data QA Engineer to join the team of a leader in the Information Technology space. This role will lead technical work focused on cloud-enabled scalability, reliability, and delivery excellence. You will partner with business, technical, and operational stakeholders to build reporting, surface trends, and translate analysis into action. The position offers the opportunity to strengthen data-driven execution and help teams focus on the metrics that matter most within a technology-driven environment.Location: Remote - US based candidates only, no visa sponsorship availableCompensation: $100,000 – $130,000 annuallyResponsibilities Architect and maintain automated data quality validation frameworks Lead design and implementation of automated test strategies Drive root cause analysis on data quality defects Define and evolve data quality strategy and best practices Partner with cross-functional teams to develop technical test plans Lead software and data defect report reviews Conduct advanced data mining on healthcare datasetsQualifications Bachelor's or Master's degree in a technical field or equivalent experience 6-8+ years experience in Data Quality Engineering and Data Engineering Expert SQL skills for data manipulation and profiling Proven leadership in end-to-end data quality projects Deep experience with various healthcare data types Strong automation skills in Python or Java Familiarity with cloud computing environments like AWS and DatabricksBenefits Unlimited paid time off Flexible remote work opportunities Comprehensive health coverage Equity for all employees Supportive growth environment Home office setup allowance Monthly cell phone allowanceOur client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.","company":"Ladders","rawCompany":"ladders","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-14T14:38:54.519Z","occupations":[{"code":"15-1253.00","title":"Software Quality Assurance Analysts and Testers","slug":"software-quality-assurance-analysts-and-testers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data QA Engineer","description":"For our client, we are seeking a Senior Data QA Engineer to join the team of a leader in the Information Technology space. This role will lead technical work focused on cloud-enabled scalability, reliability, and delivery excellence. You will partner with business, technical, and operational stakeholders to build reporting, surface trends, and translate analysis into action. The position offers the opportunity to strengthen data-driven execution and help teams focus on the metrics that matter most within a technology-driven environment.Location: Remote - US based candidates only, no visa sponsorship availableCompensation: $100,000 – $130,000 annuallyResponsibilities Architect and maintain automated data quality validation frameworks Lead design and implementation of automated test strategies Drive root cause analysis on data quality defects Define and evolve data quality strategy and best practices Partner with cross-functional teams to develop technical test plans Lead software and data defect report reviews Conduct advanced data mining on healthcare datasetsQualifications Bachelor's or Master's degree in a technical field or equivalent experience 6-8+ years experience in Data Quality Engineering and Data Engineering Expert SQL skills for data manipulation and profiling Proven leadership in end-to-end data quality projects Deep experience with various healthcare data types Strong automation skills in Python or Java Familiarity with cloud computing environments like AWS and DatabricksBenefits Unlimited paid time off Flexible remote work opportunities Comprehensive health coverage Equity for all employees Supportive growth environment Home office setup allowance Monthly cell phone allowanceOur client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.","datePosted":"2026-08-14T14:38:54.519Z","dateModified":"2026-08-14T14:38:54.519Z","hiringOrganization":{"@type":"Organization","name":"Ladders","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"67fa2e1f49c0a09a62e70232"},"url":"https://jobsearcher.com/jobs/67fa2e1f49c0a09a62e70232"}}