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Data Qa Engineer Remote Jobs (NOW HIRING)

Quality Assurance Engineer (Remote) Duration: 6 Months Location: Remote Only W2 candidates are ... test data for both staging and production environments. • Design, execute, and document ...

This opportunity is 100% remote. Key Responsibilities Test Automation & QA Engineering * Design, develop, and maintain automated QA frameworks for data pipelines, APIs, and analytics platforms using ...

This opportunity is 100% remote. Key Responsibilities Test Automation & QA Engineering * Design, develop, and maintain automated QA frameworks for data pipelines, APIs, and analytics platforms using ...

... data between labs and state databases, easing the reporting process. JOB TITLE: QA Engineer JOB TYPE: Full-time LOCATION: Remote JOB SCOPE: As a Quality Engineer at Primary you will be responsible ...

Sr QA Engineer Remote (EST/CST) Full-time/Permanent Key Technology : Selenium, Java, TestNG ... Identify test requirements, test scenarios and test data requirements * Involve in test planning ...

We're revolutionizing the way legal professionals access and use trial court data to make informed ... About the Role: We're looking for a QA Engineer who approaches quality as an engineering problem.

We're revolutionizing the way legal professionals access and use trial court data to make informed ... About the Role: We're looking for a QA Engineer who approaches quality as an engineering problem.

Data QA Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

We are is looking for talented, enthusiastic senior data engineers who share our passion for big ... Qualifications Minimum Qualifications * 5+ years of work experience in QA, preferably in data or ...

Quality Assurance Engineer

North, SC · Remote

$90K - $130K/yr

Quality Assurance Engineer Remote - Restricted to North America About Brave Brave is on a mission ... Big Tech makes huge profits off our data, and tells us what's true and what's not. Brave is ...

Data QA

New York, NY · Remote

$117K - $140K/yr

Cotiviti is seeking a QA Engineer with strong experience in testing data pipelines and validating ... Strong communication skills and ability to work in a remote, collaborative environment.

As a QA Engineer, you will be responsible for testing our software applications, data processes ... This full-time, salaried position US-based remote role. Moore is a data-driven constituent ...

QA Engineer

Westminster, CO · On-site +1

$75K - $80K/yr

As a QA Engineer, you will be responsible for testing our software applications, data processes ... This full-time, salaried position US-based remote role. Moore is a data-driven constituent ...

Senior QA Engineer (Remote)

Tulsa, OK · Remote

$115K - $140K/yr

Senior QA Engineer About Volt At Volt Labs, we're building the infrastructure layer behind modern ... We are a remote-first, high-ownership team operating in a fast-moving growth environment. We care ...

Requirement - QA Engineer (Data) Location- 100% Remote Contract W2 Rate- $30/hr on W2 we are looking for someone who has tested data pipelines and worked with platforms like Databricks, AWS EMR, or ...

QA Engineer

$80K - $92K/yr

Write and execute SQL queries for data validation, backend testing, and API level verification ... Remote friendly * Open time-off policy * 401(k) plan with a company match This position will be a ...

New

Senior QA Engineer

$145K - $185K/yr

Senior QA Engineer, Engineering (remote) Full-Time, Remote / Salary, Exempt / Includes Benefits ... We're composed of Engineering, QA, Design, Data, and Product, and instead of being siloed, we work ...

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Data Qa Engineer Remote information

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$44.5K

$129.7K

$177.5K

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

As of Jul 19, 2026, the average yearly pay for data qa engineer remote 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 is the difference between Data Qa Engineer Remote vs Data Analyst Remote?

AspectData Qa Engineer RemoteData Analyst Remote
Primary FocusTesting and ensuring data quality, accuracy, and integrityAnalyzing data to generate insights and reports
Required SkillsData testing, SQL, scripting, quality assuranceData analysis, visualization, SQL, statistical skills
Work EnvironmentRemote, often within tech or data-driven companiesRemote, across various industries including finance, marketing, tech
Common CertificationsData QA certifications, SQL certificationsData analysis certifications, Excel, Tableau

While both roles involve working with data remotely, Data Qa Engineers focus on testing and validating data quality, whereas Data Analysts interpret data to support decision-making. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

More about Data Qa Engineer Remote jobs
What cities are hiring for Data Qa Engineer Remote jobs? Cities with the most Data Qa Engineer Remote job openings:
What are the most commonly searched types of Data Qa Engineer jobs? The most popular types of Data Qa Engineer jobs are:
What states have the most Data Qa Engineer Remote jobs? States with the most job openings for Data Qa Engineer Remote jobs include:

Quality Assurance Engineer (Remote)

DivIHN

Remote

Contractor

Posted 12 days ago


Job description

For further inquiries about this opportunity, please contact one of our Talent Specialists, Saravanakumar at 224-507-1183, (or) Abdulkhader at 224-507-1295.
Title: Quality Assurance Engineer (Remote)
Duration: 6 Months
Location: Remote

Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered.
Job Description:
The Quality Assurance Engineer will be responsible for ensuring the quality and reliability of application releases by thoroughly testing in both staging and production environments. This role involves designing and executing manual test cases in staging, documenting results, and providing clear sign-off for production deployments. After each release, the engineer will validate production functionality to confirm successful deployment and catch any post-release issues. Over time, the engineer will transition manual test cases to automated scripts using Playwright, building a robust automated regression suite. Strong attention to detail, effective communication, and a commitment to continuous improvement are essential for success in this role.
List of tasks to be performed:
• Review test requirements, specifications, and documentation for each release in both staging and production environments.
• Prepare and manage test data for both staging and production environments.
• Design, execute, and document functional test cases in staging and production.
• Perform regression testing in both staging and production to ensure new changes do not break existing functionality.
• Log, track, and prioritize defects found in both staging and production using ALM and VersionOne.
• Collaborate with developers to verify defect fixes in both staging and production.
• Validate deployment and configuration in both staging and production environments.
• Execute smoke tests in production to confirm basic functionality post-deployment.
• Perform sanity and functional tests in both staging and production to ensure critical workflows operate as expected.
• Monitor application logs and system alerts for issues.
• Report, track, and escalate issues found in both staging and production as needed.
• Document all test results, including detailed evidence and steps for each test, for both staging and production.
• Prepare and provide comprehensive documentation for production sign-off including test coverage, results, and outstanding issues.
• Communicate findings and feedback to stakeholders and participate in release meetings.
• Create and manage automated tests using Playwright.
Required Experience Level:
Minimum of 2 years experience in software QA / testing.
Minimum of 1 year experience in load testing using Azure Load Test Suite and jMeter.
Minimum of 1 year experience with testing applications within Google Cloud Platform, IBM WebSphere and Wildfly application environments.
Educational Requirements:
A degree from an accredited College/University in the applicable field of services is preferred.
NOTE: If resource does not have a relevant college degree, 2 years of relevant work experience is required.