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Senior Qa Data Engineer Jobs in Virginia (NOW HIRING)

Richmond National

Sr. QA Engineer (Data)

Glen Allen, VA · On-site

$95K - $115K/yr

Job Title: Sr. QA Engineer (Data) Location: On-site in Glen Allen, VA As a QA Engineer (Data) for Richmond National, you will be responsible for ensuring the quality and reliability of our Data ...

ADP, Inc.

Senior QA Engineer

Paris, VA · On-site

$100 - $125/hr

We are seeking a Senior QA Engineer to lead testing strategy and QA automation for large-scale FEMA applications, ensuring quality, security, and performance across cloud-hosted systems. Key ...

HAYS

Sr. QA Automation Engineer

Richmond, VA · On-site

$55 - $60/hr

Sr. QA Automation Engineer - Contract or CTP - Remote - $55.00 - $60.00 The final salary or hourly ... Develop and enhance automated tests across functional, integration, API, UI, and data validation ...

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Senior Qa Data Engineer information

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.

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 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.

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What job categories do people searching Senior Qa Data Engineer jobs in Virginia look for?

The top searched job categories for Senior Qa Data Engineer jobs in Virginia are:

What cities in Virginia are hiring for Senior Qa Data Engineer jobs?

Cities in Virginia with the most Senior Qa Data Engineer job openings:

Senior Qa Data Engineer jobs near you
Infographic showing various Senior Qa Data Engineer job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Sr. QA Tester (Data Modeling & Logical Data Modeling)

eSolutionsFirst, LLC

Mclean, VA • On-site

Other

Posted 5 days ago

Job description

Sr. QA Tester (Data Modeling & Logical Data Modeling)

McLean, VA / Plano, TX
6 Months Contract Extension Possible

Must Have:

  • 7+ years QA/Data Testing experience
  • Data Modeling & Logical Data Modeling
  • Manual & Automation Testing
  • Java or Python, SQL
  • Advanced Excel
  • AI/ML knowledge
  • Cucumber is a plus
  • Mortgage industry experience preferred

Key Responsibilities:

  • Perform manual testing of data modeling, metadata, and related workflows.
  • Create test plans, test cases, execute testing, and manage defects.
  • Review data modeling processes, tools, standards, and governance.
  • Develop a phased test automation strategy and roadmap.
  • Partner with Data Engineers, Data Modelers, Governance, and Platform teams.
  • Validate data models, DDL generation, metadata, versioning, and security.

Required Skills:

  • 7+ years of QA, Data Testing, Data Modeling, or Data Engineering experience.
  • Strong understanding of logical/physical data modeling.
  • Manual & automation testing experience.
  • Strong SQL and Python/Java skills.
  • Experience with test automation, CI/CD, and data quality validation.
  • Advanced Excel and strong analytical/communication skills.
  • Experience with Agile, SIT, UAT, and System Testing.

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