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Data Qa Jobs (NOW HIRING)

NAVA Software Solutions

QA Engineer

Houston, TX · 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

PamTen Inc

Data QA / ETL Test Engineer

Jersey City, NJ · On-site

$45.25 - $61.50/hr

Responsibilities : • Own onsite data QA activities, acting as the primary point of contact for data testing and quality assurance. • Validate large datasets across source-to-target systems ...

Virtusa

Quality Assurance Lead

Minneapolis, MN · On-site

Quality Assurance Lead Workstream: Operational Excellence & Offshore Delivery Role Purpose Owner of the testing and validation of data products, ensuring that the data is accurate, reliable, and fit ...

Virtusa

Quality Assurance Lead

Minneapolis, MN

Quality Assurance Lead Workstream: Operational Excellence & Offshore Delivery Role Purpose Owner of the testing and validation of data products, ensuring that the data is accurate, reliable, and fit ...

CrossCheck QA

Quality Assurance Evaluator

Waltham, MA

$65K - $70K/hr

At CrossCheck, a Quality Assurance Evaluator is responsible for conducting thorough, unbiased, on ... Analytical Skills: The ability to translate observations into quantifiable data and trends.

Boss Tech

QA Engineer

San Jose, CA · On-site +1

... assurance engineers ... Coordinate and collaborate with data quality control analysts and engineers in testing and ...

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Data Qa information

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$44.5K

$129.7K

$177.5K

How much do data qa jobs pay per year?

As of Jun 19, 2026, the average yearly pay for data qa in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are top 3 skills for a QA analyst?

A QA analyst should have strong attention to detail, proficiency in testing tools and scripting languages, and good understanding of software development life cycle processes. Effective communication skills and the ability to document defects clearly are also essential. Familiarity with automation testing and quality standards enhances their effectiveness in ensuring software quality.

Is data quality a good career?

Data quality is a valuable career path within data management, focusing on ensuring the accuracy, consistency, and reliability of data. Data QA professionals often use tools like SQL and data validation software, and the role can lead to opportunities in data analysis, data governance, and analytics. It offers steady demand as organizations increasingly rely on high-quality data for decision-making.

What is the difference between Data Qa vs Data Analyst?

AspectData QaData Analyst
Required CredentialsBasic understanding of testing tools, some certificationsDegree in data-related fields, certifications like Microsoft or SAS
Work EnvironmentQuality assurance teams, software testing environmentsData analysis teams, business intelligence settings
Employer & Industry UsageTech companies, software development firmsFinance, marketing, healthcare, and other industries
Common Search & ComparisonOften compared for data quality rolesMore focused on data insights and reporting

Data Qa professionals primarily focus on testing and ensuring data quality, often working within QA teams to validate data accuracy and integrity. Data Analysts, on the other hand, analyze data to generate insights, create reports, and support decision-making. While both roles work with data, Data Qa emphasizes quality assurance processes, whereas Data Analysts focus on data interpretation and analysis.

Is QA still in demand?

Quality Assurance (QA) roles, including Data QA, remain in demand as companies prioritize data accuracy and software quality. Skills in testing tools, scripting, and understanding data workflows are valuable, and demand is expected to grow with increasing reliance on data-driven decision-making.

What does a data QA do?

A Data QA (Quality Assurance) specialist reviews and tests data to ensure accuracy, consistency, and completeness. They identify and report data issues, validate data quality against standards, and often use tools like SQL or data validation software to perform their tasks, supporting reliable data-driven decision-making.
More about Data Qa jobs
What cities are hiring for Data Qa jobs? Cities with the most Data Qa job openings:
What states have the most Data Qa jobs? States with the most job openings for Data Qa jobs include:
What job categories do people searching Data Qa jobs look for? The top searched job categories for Data Qa jobs are:
Data Qa jobs near you
Infographic showing various Data Qa job openings in the United States as of June 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Senior QA Engineer - Data & ETL Testing

Futran Tech Solutions Pvt. Ltd.

Remote

Full-time

Posted 6 days ago

Job description

Job Title: Senior QA Engineer - Data & ETL Testing
Location: Remote / NJ USA
Fulltime Position
Need from insurance background
Position Overview:
We are seeking a Senior QA Engineer (Data & ETL Testing) to ensure the quality, integrity, and reliability of data across our enterprise data warehouse (EDW) environments. The ideal candidate will have hands-on experience in validating data movement, transformation, and quality within on-premises and cloud-based data platforms.
You will collaborate closely with data engineers, architects, and analysts to test ETL processes, data pipelines, and reporting layers while implementing and improving QA best practices for data validation and automation.
Key Responsibilities
  • Data & ETL Testing
  • Perform source-to-target testing for EDW systems using SQL (manual and automated).
  • Validate data transformations, manipulations, and data quality/completeness across data pipelines.
  • Conduct comprehensive testing of ETL processes, dimensional data models, and reports.
  • Execute ETL workflows and data validation processes using scheduling tools.
  • Quality Assurance & Process Improvement
  • Develop and execute test plans to validate data within on-prem and cloud data warehouses.
  • Identify, document, and resolve data quality issues in collaboration with data engineering teams.
  • Ensure consistency and accuracy of data across various sources and reporting systems.
  • Contribute to the continuous improvement of QA testing strategies and methodologies.
  • Implement QA automation frameworks and best practices for data validation.
  • Collaboration & Reporting
  • Partner with BAs, data engineers, architects, and QA leads to define test requirements and deliverables.
  • Work with the Lead Data QA Engineer to maintain and support testing infrastructure.
  • Prepare detailed reports on data quality findings, metrics, and improvement recommendations.

Requirements:
  • Bachelor's or Master's degree in Computer Science or a related field.
  • 8 years of experience in data warehouse testing or development.
  • Strong understanding of Data Warehousing (DW), ETL, and Data Quality concepts.
  • Proficiency in SQL, RDBMS, and ETL validation.
  • Experience validating reports and dashboards using Tableau, Power BI, or similar tools.
  • Exceptional attention to detail with a strong, results-driven approach.
  • Excellent verbal and written communication skills.
  • Self-starter with strong ownership, accountability, and collaboration skills.
  • Willingness to provide off-hour support as needed.

IMP Skills:
  • Experience with SSIS and MS SQL Server.
  • Exposure to Snowflake and DBT environments.
  • Familiarity with QA automation tools and frameworks.
  • Understanding of ETL workflows, data warehouse testing procedures, and cloud data ecosystems.
  • Experience with Insurance data and hybrid (on-prem/cloud) architectures is a plus.

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