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Data Quality Assurance Jobs (NOW HIRING)

Strong data quality assurance and backend validation skills. * Experience with Salesforce testing. * Ability to ensure adherence to Agile processes and QA best practices while adapting to team needs.

Strong data quality assurance and backend validation skills. * Experience with Salesforce testing. * Ability to ensure adherence to Agile processes and QA best practices while adapting to team needs.

Strong data quality assurance and backend validation skills. * Experience with Salesforce testing. * Ability to ensure adherence to Agile processes and QA best practices while adapting to team needs.

Strong data quality assurance and backend validation skills. * Experience with Salesforce testing. * Ability to ensure adherence to Agile processes and QA best practices while adapting to team needs.

Strong data quality assurance and backend validation skills. * Experience with Salesforce testing. * Ability to ensure adherence to Agile processes and QA best practices while adapting to team needs.

Strong data quality assurance and backend validation skills. * Experience with Salesforce testing. * Ability to ensure adherence to Agile processes and QA best practices while adapting to team needs.

Strong data quality assurance and backend validation skills. * Experience with Salesforce testing. * Ability to ensure adherence to Agile processes and QA best practices while adapting to team needs.

Strong data quality assurance and backend validation skills. * Experience with Salesforce testing. * Ability to ensure adherence to Agile processes and QA best practices while adapting to team needs.

Strong data quality assurance and backend validation skills. * Experience with Salesforce testing. * Ability to ensure adherence to Agile processes and QA best practices while adapting to team needs.

Strong data quality assurance and backend validation skills. * Experience with Salesforce testing. * Ability to ensure adherence to Agile processes and QA best practices while adapting to team needs.

QA Engineer

Houston, TX ยท On-site

NAVA Software solutions is looking for a QA Engineer Details: QA Engineer Location: Houston, TX (2 ... Focused on Data Validation * Strong SQL skills * Any tools for data quality/ validation

Strong data quality assurance and backend validation skills. * Experience with Salesforce testing. * Ability to ensure adherence to Agile processes and QA best practices while adapting to team needs.

Strong data quality assurance and backend validation skills. * Experience with Salesforce testing. * Ability to ensure adherence to Agile processes and QA best practices while adapting to team needs.

Strong data quality assurance and backend validation skills. * Experience with Salesforce testing. * Ability to ensure adherence to Agile processes and QA best practices while adapting to team needs.

Strong data quality assurance and backend validation skills. * Experience with Salesforce testing. * Ability to ensure adherence to Agile processes and QA best practices while adapting to team needs.

Strong data quality assurance and backend validation skills. * Experience with Salesforce testing. * Ability to ensure adherence to Agile processes and QA best practices while adapting to team needs.

Strong data quality assurance and backend validation skills. * Experience with Salesforce testing. * Ability to ensure adherence to Agile processes and QA best practices while adapting to team needs.

Strong data quality assurance and backend validation skills. * Experience with Salesforce testing. * Ability to ensure adherence to Agile processes and QA best practices while adapting to team needs.

Strong data quality assurance and backend validation skills. * Experience with Salesforce testing. * Ability to ensure adherence to Agile processes and QA best practices while adapting to team needs.

Strong data quality assurance and backend validation skills. * Experience with Salesforce testing. * Ability to ensure adherence to Agile processes and QA best practices while adapting to team needs.

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Data Quality Assurance information

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$15

$44

$64

How much do data quality assurance jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for data quality assurance in the United States is $44.87, according to ZipRecruiter salary data. Most workers in this role earn between $36.54 and $54.57 per hour, depending on experience, location, and employer.

What is a data quality assurance?

A Data Quality Assurance (QA) job involves ensuring the accuracy, consistency, and reliability of data within an organization. Professionals in this role develop and implement data validation processes, identify and fix inconsistencies, and work with teams to maintain data integrity. They use tools and frameworks to automate quality checks, perform audits, and enforce data governance policies. The goal is to support data-driven decision-making by providing stakeholders with high-quality, trustworthy data.

What are the typical daily responsibilities of a data quality assurance professional?

A Data Quality Assurance professional's day often includes creating and executing test plans, validating datasets, identifying data anomalies, and collaborating with data engineers or analysts to resolve quality issues. They routinely monitor data pipelines, document test results, and help develop or refine data quality standards and processes. Teamwork and regular communication with IT, business stakeholders, and data governance teams are common parts of the role. These responsibilities help ensure data integrity across projects and support an organization's overall data-driven goals.

What are the key skills and qualifications needed to thrive in data quality assurance, and why are they important?

To thrive as a Data Quality Assurance professional, you need a solid understanding of data management principles, data validation techniques, and strong analytical skills, often backed by a degree in computer science, information systems, or a related field. Familiarity with data quality tools (such as Informatica or Talend), SQL, and experience with database systems are typically required, and certifications in data management can be a plus. Attention to detail, problem-solving abilities, and effective communication are important soft skills for effectively identifying and resolving data issues. These competencies ensure the reliability and accuracy of organizational data, supporting sound decision-making and operational efficiency.

Is data quality assurance a good career?

Data quality assurance is a valuable career that involves ensuring the accuracy, consistency, and reliability of data within organizations. It often requires skills in data analysis, attention to detail, and familiarity with tools like SQL or data validation software, making it a stable and in-demand field with opportunities for advancement.

Is data quality assurance a good entry-level job?

Data quality assurance is often suitable for entry-level positions, as it typically requires basic understanding of data management, attention to detail, and familiarity with tools like Excel or data validation software. Many roles offer on-the-job training and do not require extensive prior experience, making it accessible for newcomers to the field.
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What cities are hiring for Data Quality Assurance jobs?

Cities with the most Data Quality Assurance job openings:

What states have the most Data Quality Assurance jobs?

States with the most job openings for Data Quality Assurance jobs include:

Infographic showing various Data Quality Assurance job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $93,338 per year, or $44.9 per hour.

Senior QA Tester

PB consulting

Cresskill, NJ โ€ข On-site

Full-time

Posted 8 days ago


Job description

We are seeking an experienced Senior QA Tester to lead quality assurance activities across the software development lifecycle. The role will focus on test planning, automation, functional and integration testing, data quality, Salesforce testing, defect management, and continuous improvement of QA processes.

Required Technical/Functional Skills
  • Strong experience in software quality assurance and testing.

  • Hands-on experience with automation testing and automated test frameworks.

  • Experience with functional, integration, regression, system, end-to-end, and UAT testing.

  • Strong data quality assurance and backend validation skills.

  • Experience with Salesforce testing.

  • Ability to ensure adherence to Agile processes and QA best practices while adapting to team needs.

  • Experience validating APIs, databases, integrations, and backend processes.

  • Strong defect management and root-cause analysis skills.

  • Excellent analytical, problem-solving, communication, and collaboration skills.

Roles & Responsibilities
  • Lead the planning, design, and execution of test strategies, test plans, and test cases.

  • Develop, maintain, and execute automated test scripts and frameworks.

  • Perform functional, integration, regression, system, end-to-end, and UAT testing.

  • Validate APIs, databases, integrations, data quality, and backend processes.

  • Identify, document, track, retest, and verify software defects.

  • Collaborate with Product Owners, Business Analysts, Developers, and support teams to ensure quality requirements are met.

  • Participate in Agile ceremonies and contribute to quality improvements throughout the SDLC.

  • Mentor junior QA engineers and promote testing best practices.

  • Support release validation, production verification, and hypercare activities.

  • Drive continuous improvement of QA processes, tools, automation, and testing standards.

  • Ensure QA activities align with Agile methodologies, project requirements, and organizational quality standards.

Preferred Skills
  • Experience with Agile Quality Assurance practices.

  • Additional experience with Salesforce automation or integration testing.

  • Knowledge of modern QA tools and test management platforms.