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Data Qa Jobs (NOW HIRING)

Data QA Location: Dallas, TX (Onsite) Duration: 12+ Months Contract W2 only Required Qualifications * Bachelor's degree in Computer Science, Information Technology, or a related field. * 2-4 years of ...

Data QA

Chicago, IL · Hybrid

$100K - $125K/yr

Position Summary We are seeking a Data QA Engineer to own and elevate data quality across our data pipelines, transformations, and analytics outputs. This role is focused entirely on back-end data ...

Lead Data QA

Philadelphia, PA

$130K/yr

The Lead Data QA is responsible for defining and driving the overall Data Quality Assurance strategy for enterprise-scale data platforms. This role ensures that all data systems meet rigorous ...

Data QA Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

Data QA Engineer Job Location: ALPHARETTA, GA- onsite is a must Long Term Contract Job Summary: We are looking for a Data QA Engineer with strong expertise in data analysis, validation, and quality ...

Role: Data QA Analyst Remote Role C2H (Only W2) What You Will Do: Review and analyze functional and design specifications documents Identify test requirements from design document and mapping ...

Data QA Engineer

Bethesda, MD

$122K - $146K/yr

Qualifications Minimum Qualifications * 5+ years of work experience in QA, preferably in data or relevant space * Demonstrable knowledge, experience, skill, and proficiency with the following:

Data QA Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

Qualifications Minimum Qualifications * 5+ years of work experience in QA, preferably in data or relevant space * Demonstrable knowledge, experience, skill, and proficiency with the following:

Design, develop, and maintain automated QA frameworks for data pipelines, APIs, and analytics platforms using Python and SQL. * Build reusable testing utilities for data validation, regression ...

Data Quality Assurance Intern

Lansing, MI · On-site

$15.25 - $20.25/hr

Internship - Non Paid Job Number: 4301-21-Data Quality Intern Department: Health and Human Services ... Assurance Unit Maximum of 40 hours a week Required Education and Experience At the time of ...

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Data Qa information

See salary details

$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:
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.

Job description

Position: Data QA
Location: Dallas, TX (Onsite)
Duration: 12+ Months Contract

W2 only

Required Qualifications

  • Bachelor’s degree in Computer Science, Information Technology, or a related field.
  • 2-4 years of experience in data engineering, database QA, or a related role.
  • Strong foundational knowledge of SQL, T-SQL, and relational database management systems (RDBMS).

Key Responsibilities

  • Design, write, and execute test cases using Python and SQL.
  • Validate data pipelines, database changes, and deployment scripts.
  • Execute manual and automated test cases, record results, and track defects through closure.
  • Analyze test results and communicate findings clearly to development teams.
  • Collaborate with Data Engineers to understand data transformations, deployment scripts, and business logic.
  • Create and refine test cases aligned with business requirements and data transformation rules.
  • Support unit testing by designing and sharing relevant test scenarios.
  • Validate database objects, including tables, views, stored procedures, functions, and triggers.
  • Perform data validation and reconciliation checks across systems.
  • Ensure adherence to data quality standards, testing best practices, and documentation expectations.

Technical Skills

  • Ability to write SQL queries for data validation.
  • Ability to develop basic test scripts in Python.
  • Understanding of database objects, including tables, views, indexes, and stored procedures.
  • Understanding of data validation and testing methodologies.
  • Familiarity with test case design, test execution, and bug/defect tracking processes.

Preferred Skills

  • Exposure to data engineering workflows or ETL pipelines.
  • Basic knowledge of automation frameworks.
  • Experience with version control systems such as Git.
  • Understanding of data warehouse concepts is a plus.

Soft Skills

  • Strong analytical and problem-solving skills.
  • Good communication and documentation abilities.
  • Attention to detail with a quality-first mindset.
  • Ability to work collaboratively in a team environment.

Who Should Apply

  • Entry Level Candidates looking to start a career in data engineering and QA.
  • Junior professionals seeking hands-on experience in database testing and validation.