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Senior Qa Data Engineer Jobs (NOW HIRING)

Volt

Senior QA Engineer

They are seeking a Senior QA Engineer to define test strategies and build automation infrastructure while collaborating with various teams to enhance quality standards as the platform scales.

Arete Technologies, Inc.

Sr. QA Tester

Lansing, MI · On-site

It is also the repository for all Michigan K-12 current and historical assessment data ... The candidate must be able to collaborate with developers, business analysts, and business clients ...

3Pillar

Senior Quality Assurance Engineer

As a Senior QA Engineer, you will assume a leadership role in our dynamic team, guiding the ... If you would like more information about how your data is processed, please contact us.

Vestmark, Inc.

Senior QA Engineer

Boston, MA · Hybrid

The Senior QA Engineer is an integral member of an Engineering squad, analyzing and testing a high ... Microsoft SQL Server or similar DB experience; you should be able to retrieve and manipulate data ...

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How much do senior qa data engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for senior qa data engineer in the United States is $124,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $137,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a senior QA data engineer, and why are they important?

To thrive as a Senior QA Data Engineer, you need expertise in data validation, test automation, SQL, and a strong background in computer science or a related field. Experience with tools like Selenium, Apache Spark, Python, and test management systems, as well as certifications such as ISTQB, are highly valued. Attention to detail, analytical thinking, and effective communication are crucial soft skills for collaborating with data and engineering teams. These abilities ensure the reliability, accuracy, and quality of data pipelines and analytics, which are vital for informed business decisions.

How does a senior QA data engineer typically collaborate with data engineering and analytics teams?

As a Senior QA Data Engineer, collaboration with data engineering and analytics teams is essential to ensure data quality across the pipeline. You’ll often work closely with data engineers to design and implement testing frameworks, validate ETL processes, and troubleshoot data issues. Regular interactions with analytics teams help you understand business requirements and ensure that data delivered for analysis is accurate and reliable. This collaborative environment supports continuous improvement, efficient problem-solving, and alignment of data quality standards with organizational goals.

What is a senior QA data engineer?

Senior QA Data Engineers are experienced professionals responsible for ensuring the quality and reliability of data systems, pipelines, and products. They design and implement testing strategies, develop automated tests, and work closely with data engineers and analysts to validate data integrity and performance. Their expertise helps organizations maintain high data quality standards, prevent errors, and support informed decision-making by ensuring that data is accurate, consistent, and secure.
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Senior Qa Data Engineer jobs near you
Infographic showing various Senior Qa Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $124,124 per year, or $59.7 per hour.

Senior QA Engineer

Aechelon Technology Inc.

Orlando, FL • On-site

Full-time

Re-posted 14 days ago

Job description

Job Summary:
Aechelon Technology, Inc. is a leading producer of 3D simulator content, including Geospecific visual/sensor databases and realistic 3D models. They are seeking a Senior QA Engineer to lead the validation strategy and testing execution for complex software systems, ensuring high standards of quality and performance. The role involves creating automation solutions and mentoring junior engineers while overseeing cross-team testing efforts.
Responsibilities:
• Owns large feature areas or subsystems spanning multiple components, including complex interactions across runtime, tools, data, and rendering. Leads cross-team testing efforts and coordinates quality activities for major deliveries.
• Defines validation strategy for complex changes, including automation approach, performance considerations, and fidelity checks. Acts as a technical point of contact for quality risk and testability discussions.
• Own large feature areas or subsystems that span multiple components across Aechelon products, including complex interactions involving runtime, tools, data, and rendering.
• Leads validation for complex systems spanning multiple components or subsystems, coordinating quality activities across ownership boundaries.
• Define and drive validation strategies for complex or high-risk changes, including test scope, automation approach, performance considerations, and fidelity or correctness checks.
• Serve as the primary technical point of contact for quality risk assessment, testability discussions, and release readiness for owned areas.
• Provide technical guidance and mentorship to junior QA engineers, reviewing test plans, test cases, and automation contributions to ensure consistency, coverage, and effectiveness.
• Identify gaps in coverage, tooling, or process, and influence improvements that scale quality across teams and releases.
• Define and drive validation strategies for complex or high-risk changes, with a strong emphasis on Python-based tool development, including test frameworks, utilities, and data-driven validation.
• Design, implement, and maintain tool and testing technology in Python that replace or significantly reduce manual testing for QA owned areas.
• Utilize AI assisted tools to improve/enhance the automation and day-to-day works.
Qualifications:
Required:
• BA/BS in Computer Science or equivalent work experience
• Some experience with software testing or quality engineering
• Solid understanding of software development lifecycles
• Strong organizational, communication, and problem-solving skills
• Eligibility to work with export-controlled technology
• Practical experience applying AI tools in QA tasks
Preferred:
• Experience testing 3D graphics or simulation software
• Python, C++, or automation scripting experience
• Experience with CI systems (Jenkins or similar)
• Experience with Jira, Perforce, Git, or similar tools
• Experience writing technical documentation
• Practical experience applying AI tools to QA tasks
Company:
Aechelon Technology Inc. is now a Shield AI company. Follow @Shield AI for updates. Founded in 1998, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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