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Data Qa Engineer 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

Ex Parte, Inc

Data QA Engineer

Bethesda, MD

$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 ...

Ex Parte, Inc

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 ...

Judge Group, Inc.

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 ...

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 ...

JBCPlatform

QA Engineer

Foster City, CA · On-site

$35 - $37/hr

QA Engineer Job Location: Foster City, CA Duration: ~6 Months The Pay rate is commensurate with ... Experience handling large data sets

ENE IT Consulting

Lead Data QA

Philadelphia, PA · On-site

$130K/yr

Collaborate with data governance, engineering, and architecture teams to embed QA best practices across the data lifecycle. Data Testing & Validation Design and implement automated test plans ...

Computer Enterprises, Inc.

QA Engineer

Philadelphia, PA · Hybrid

$50 - $53/hr

QA Engineer (Manual & Automation) Hybrid - 2-3 Days Onsite | Phila., PA 19103 $50.00-53.00/hr W2 ... Query and validate data across MongoDB and PostgreSQL * Contribute to test strategy, coverage ...

Apex Informatics

QA Engineer

Plano, TX · On-site

Position Title * QA Engineer ACSPA0F35 Position Responsibilities QA Engineer Location: Plano, TX- ... years of Data/File/Database and ETL/Data warehouse testing and proficient in testing all ...

Data Bridge Consultants

Senior QA Engineer

Cary, NC

$40/hr

... and data strategies • Provide regular status updates to project team on QA progress • ... Engineers on artifact procedure issues uncovered • Works with QA Manager on enhancing test ...

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Data Qa Engineer information

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$44.5K

$129.7K

$177.5K

How much do data qa engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data qa engineer 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 some typical challenges faced by Data QA Engineers on the job?

Data QA Engineers often encounter complex challenges such as identifying subtle data inconsistencies, managing large volumes of data across multiple sources, and ensuring testing keeps pace with rapidly evolving datasets and business requirements. You'll regularly need to investigate root causes of data issues, develop automated solutions for regression testing, and collaborate with data engineers, analysts, and product teams to clarify data expectations. The fast-paced environment demands adaptability and a proactive approach to improving data reliability. Overcoming these challenges helps maintain data integrity and contributes significantly to business success.

What is a Data QA Engineer job?

A Data QA Engineer ensures the accuracy, reliability, and integrity of data by testing data pipelines, ETL processes, and data warehouses. They design and execute test cases, identify data quality issues, and collaborate with data engineers to resolve defects. Their role is crucial in maintaining high-quality data for analytics, reporting, and decision-making.

What are the key skills and qualifications needed to thrive in the Data Qa Engineer position, and why are they important?

To thrive as a Data QA Engineer, you need a solid understanding of data quality principles, database management, and strong analytical skills, often supported by a degree in computer science or a related field. Familiarity with data validation tools, SQL, automation frameworks (such as Selenium or pytest), and certifications like ISTQB are commonly expected. Attention to detail, effective problem-solving, and strong communication help you collaborate efficiently across data and engineering teams. These abilities ensure accurate, reliable data pipelines and trustworthy analytics, which are critical for business decision-making.

More about Data Qa Engineer jobs
What cities are hiring for Data Qa Engineer jobs? Cities with the most Data Qa Engineer 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 jobs? States with the most job openings for Data Qa Engineer jobs include:
What job categories do people searching Data Qa Engineer jobs look for? The top searched job categories for Data Qa Engineer jobs are:
Data Qa Engineer jobs near you
Infographic showing various Data Qa Engineer job openings in the United States as of June 2026, with employment types broken down into 4% Internship, 92% Full Time, and 4% Contract. Highlights an 75% In-person, 7% Hybrid, and 18% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data QA Engineer

Data QA Engineer

Irvine Technology Corporation (ITC)

Irvine, CA • Remote

$100K - $130K/yr

Other

Posted 4 days ago

Job description

Data QA Engineer

Data quality isn't just a checkbox-it's the foundation of every smart business decision. Our client is building something meaningful: a data environment where accuracy is non-negotiable and the people who protect it are valued. As a Data QA Engineer, you'll be at the center of that mission-designing and building the automated testing frameworks that keep data pipelines clean, reliable, and trustworthy. If you're the kind of engineer who loves digging into data discrepancies, writing elegant SQL, and creating structure where there wasn't any before, this is the role you've been looking for.

As part of our process after applying, you may receive an invitation from our AI Recruiter Avery for a short conversation that lets you share more about your background beyond your resume. For questions, contact


  • Job Type: Full-Time


  • Location: Remote


  • Compensation: This job is expected to pay about $100,000 - $130,000


  • No Visa Sponsorship Available for this role

What You'll Do:


  • Build automated data testing frameworks from scratch, including test plans, validation logic, regression suites, and data observability checks across ETL/ELT pipelines and BI outputs.
  • Write and optimize SQL queries to validate row counts, uniqueness, referential integrity, business rules, and source-to-target reconciliation.
  • Investigate data discrepancies-trace issues from reports back to source systems, file detailed defect reports, and partner with engineering to validate fixes.
  • Integrate automated tests into CI/CD pipelines and manage scheduled test runs to enforce data quality gates across deployments.
  • Mentor team members on data testing best practices and take ownership of high-impact QA initiatives that raise the bar for data reliability.

What Gets You the Job:


  • Expert-level SQL skills with hands-on experience writing complex queries for data validation, reconciliation, and pipeline testing-this is the most critical requirement.
  • Proven ability to build automated data testing frameworks from the ground up using tools such as Great Expectations, dbt tests, or similar-not just working within existing ones.
  • Python proficiency sufficient for scripting automation, building test utilities, and integrating with CI/CD pipelines (Jenkins, Git).
  • Background in data QA, ETL testing, data validation, or data engineering-not traditional UI/front-end QA.
  • Strong analytical communication skills with the ability to investigate messy data, identify root causes, and make a clear case to engineering teams, business stakeholders, or vendors.

Ready to build something that matters? Apply now and take the next step in a role where your technical depth will directly shape how a company trusts its data.

Irvine Technology Corporation (ITC) connects top talent with exceptional opportunities in IT, Security, Engineering, and Design. From startups to Fortune 500s, we partner with leading companies nationwide. Our AI recruiter, Avery helps streamline the first step of your journey-so we can focus on what matters most: helping you grow. Join us. Let us ELEVATE your career!

Irvine Technology Corporation provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Irvine Technology Corporation complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.

Irvine Technology logo

About Irvine Technology

Sourced by ZipRecruiter

Since 2000, our Women owned company has been delivering what organizations truly need diverse, talented professionals who will take their business to new heights. ITC serves our clients and elevates our candidates through a distinct and unified team together we achieve unrivaled goals and live life to the fullest. With a proven record of creating a strong pipeline of talented candidates, Our team uplifts confident and capable Technology Specialists from one of a kind backgrounds for contract and full time opportunities across the nation.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Irvine, CA, US

Year founded

2000

Social media

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