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Data Qa Engineer Remote Jobs (NOW HIRING)

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 ...

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 ...

... 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 ...

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 ...

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 ...

The Senior QA Engineer - Remote writes clean, maintainable automation code and is passionate about ... Develop and maintain test data to support repeatable, comprehensive test execution * Create and ...

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 ...

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 ...

QA Engineer

San Jose, CA · On-site +1

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

Quality Assurance Engineer (Manual + Automation SaaS) - Remote Position Type: Full-Time, Remote Working Hours: U.S. Business Hours (flexible for releases & sprints) About the Role We're hiring a ...

Salesforce QA Engineer Location: Remote (U.S. Only) Employment Type: Contract-to-Hire Job Overview ... Ensure overall system quality and data integrity Required Qualifications * 5+ years of experience ...

QA Engineer

Sandy, UT · On-site +1

Hybrid / Remote / Flexible Reports To: QA Manager Job Type: Full-Time The QA Engineer works closely with business stakeholders, product specialists, QA leadership, and software engineers to ...

Location - Remote (ARG/MX/CA) * 3-5 years of experience in Manual Testing.Executes testing ... Prepares data sets to test logic, error handling and system workflows. Isolates, reproduces, and ...

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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 Jun 29, 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:
Infographic showing various Data Qa Engineer Remote job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Full-time

Posted 16 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.