ZipRecruiter

Log In

1

Data Qa Engineer Jobs (NOW HIRING)

Amicis Global

QA Engineer

Seattle, WA · On-site

Web Quality Assurance Engineer (Multiple Positions) Location: Seattle, WA (Onsite) Duration: 6+ Months Key job responsibilities • You'll build and maintain test infrastructure for a web product ...

Zero

QA Engineer

Portland, OR

The QA Engineer will work closely with the development and product teams to define test plans and ... Basic knowledge of SQL for data validation and verifying system behavior across backend services.

Cantor Fitzgerald Securities

QA Engineer

Manhattan, NY · On-site

As a Senior QA Engineer, you will play a crucial role in validating FMX's trading platforms and ... Validate trading protocols, including message flows, order lifecycles, and market data interactions.

Redolent, Inc

QA Engineer

Sunnyvale, CA · On-site

One of our direct client is urgently looking for QA Engineer @ Sunnyvale, CA TITLE: QA Engineer LOCATION: Sunnyvale CA Duration: 6 to 12+ months Rate: DOE Duties: The QA Engineer will be responsible ...

BWX Technologies

QA Engineer

Barberton, OH

Quality Assurance Engineer - BWX Technologies, Inc. - Barberton, OH Responsibilities include ... Analysis of quality trending data to implement product improvement actions. * Procedure development ...

BWX Technologies

QA Engineer

Barberton, OH

Quality Assurance Engineer - BWX Technologies, Inc. - Barberton, OH Responsibilities include ... Analysis of quality trending data to implement product improvement actions. * Procedure development ...

ECS

Quality Assurance Engineer

Washington, DC · On-site

Everforth ECS Federal is seeking a Quality Assurance Engineer to support a mission-focused federal IT program in Washington DC. Please Note: This position is contingent upon contract award. Join ...

CX Data Labs

QA Engineer

Dallas, TX · On-site

QA Engineer (Automation + Manual) Dallas, TX Fulltime Required Skills: * 5+ years of experience in Manual Testing with exposure to Automation . * Hands-on experience with tools like Selenium, Postman ...

Yrefy LLC

QA Engineer

Phoenix, AZ · On-site

QA Engineer Manual & Functional Testing Focused (NOT A REMTOTE POSITION) About the Role Invessio is ... Cross-check data against source of truth datasets to catch inconsistencies and drift * Validate ...

Scout ET

QA Engineer

New Brunswick, NJ

Job Title: QA Engineer (Manual and Automation) Location: New Brunswick, New Jersey. Duration: 1 ... Responsibilities: - Develop and execute test plans, test cases, test data, test scenarios, and ...

Wingbrace

Quality Assurance Engineer

Lincoln, MA · On-site

Software Quality Assurance Engineer Location -Onsite Hybrid role Lincoln Massachusetts About ... data and internal team equity. Benefits We believe customer experience starts with employee ...

ProScore Technologies

QA Engineer

Fort Lauderdale, FL · On-site

QA Engineer - Job Profile Location: Fort Lauderdale, FL We are seeking a QA Engineer to join our team and ensure the quality, reliability, and performance of our SaaS platform. This role requires ...

Virtuous Tech Inc

QA Engineer

Dallas, TX · On-site

QA Engineer / Sr. QA Engineer (Contract) 📍 Location: Dallas, TX | Atlanta, GA | Frisco, TX (Onsite) 📅 Experience: 4-8 Years 🔹 Skills: Selenium, Playwright, Appium, REST API, Java/C#/Python ...

WFI International

Quality Engineer

Houston, TX · On-site

$67K - $87K/yr

Quality Assurance Engineer WFI International, a leading manufacturer and supplier of integrally reinforced branch connection fittings to the power, oil and gas, chemical, and other industries, is ...

next page

Showing results 1-20

All JobsData Qa Engineer Jobs

Data Qa Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do data qa engineer jobs pay per year?

As of Jun 30, 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.

Is QA replaced by AI?

Quality Assurance (QA) engineers, including Data QA Engineers, use AI tools to automate testing and improve accuracy, but AI has not fully replaced the need for human oversight. QA roles now often involve managing AI-driven testing processes, analyzing results, and ensuring data quality, making the role more focused on oversight and interpretation rather than manual testing alone.

What does a data QA engineer do?

A data QA engineer is responsible for testing and validating data quality, accuracy, and integrity within data pipelines and systems. They develop test plans, use tools like SQL and data validation frameworks, and collaborate with data engineers to identify and resolve data issues, ensuring reliable data for decision-making.

What engineers make 300,000 a year?

Senior data QA engineers with extensive experience, advanced skills in testing automation, and certifications can earn around $300,000 annually, especially in high-cost-of-living areas or within large tech companies. Achieving this salary often requires expertise in tools like Selenium, Python, or SQL, along with leadership responsibilities and a strong understanding of data quality standards.

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 engineers make $500,000?

Senior data QA engineers with extensive experience, advanced skills in automation and testing tools, and often certifications can reach salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Such compensation typically includes base salary, bonuses, and stock options. Achieving this level usually requires a combination of technical expertise, leadership, and years of industry experience.

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

AI QA Engineer (Multilingual)

Scaled Cognition

Mountain View, CA • Remote

Full-time

Posted 19 days ago

Job description

AI QA Engineer (Multilingual)

As an AI QA Engineer (Multilingual) at Scaled Cognition, you will be the final line of defense for our model's quality. You'll sit at the critical intersection of data engineering, quality assurance, and linguistics, ensuring our LLM training data and evaluation sets are flawless. You'll be getting your hands dirty, meticulously inspecting data, and making direct code contributions to fix issues. If you love the idea of turning messy, imperfect data into gold and have the technical chops to automate parts of that cleanup, you will thrive here.

What you'll do:

  • Meticulously inspect, review, and grade LLM training data, evaluation test cases, and model outputs to ensure maximum quality and accuracy.

  • Maintain local development environments to run test pipelines, investigate edge cases, and submit PRs via Git/GitHub to update our training repositories.

  • Act as a technical data detective, diving deep into training data to spot error cases.

  • Leverage LLMs as internal tools to translate, verify, and maintain our cross-lingual datasets.

  • Collaborate closely with the engineering team to refine our evaluation criteria and improve our data pipelines.

You might be the right person for the job if you:

  • Have an obsessive attention to detail and get a dopamine hit from finding the one edge case or bad translation that broke a prompt.

  • Are a builder who doesn't mind the weeds. You understand that high-quality AI is built on rigorous, sometimes repetitive data inspection, and you embrace that reality.

  • Are technically self-sufficient. You’re comfortable navigating a terminal, running Python scripts locally, and managing your own version control.

  • Love languages and understand the linguistic nuances required for high-quality translation and cross-lingual model evaluation.

  • Thrive in a fast-paced environment where you can take ownership of the data quality that directly drives model performance.

Key Qualifications:

  • Strong technical background with hands-on coding experience (Python preferred) and proficiency with Git/GitHub.

  • Fluency in English and native or near-native proficiency in at least one other language.

  • Deep understanding of Large Language Models, their failure modes (hallucinations, formatting errors), and effective prompting techniques.

  • Proven experience in Quality Assurance, Data Quality, or Data Engineering, with a track record of auditing and maintaining large datasets.

  • Exceptional written communication skills across multiple languages.