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Data Qa Engineer Jobs (NOW HIRING)

Vertex Sigma Software

QA Engineer

Foster City, CA · On-site

QA Engineer Onsite in Foster City, CA | 5 days in office The Quality Assurance team is actively ... and data models intended for use by rider mobile apps, robots and fleet management tools, and ...

Vertex Sigma Software

QA Engineer

Foster City, CA · On-site

QA Engineer Onsite in Foster City, CA | 5 days in office The Quality Assurance team is actively ... and data models intended for use by rider mobile apps, robots and fleet management tools, and ...

RIT Solutions, Inc.

Lead QA Engineer (Automated)

Orlando, FL · On-site

$120K/yr

RIT Solutions, Inc. is seeking a Senior QA Engineer to join their growing team of data management and analytics professionals. In this role, you will lead and execute comprehensive testing strategies ...

Burford Capital LLC

QA Engineer

Manhattan, NY · On-site

$100K - $120K/yr

The firm seeks to hire a detail-oriented and technically capable QA Engineer to support the quality of complex, data-driven financial applications through a combination of manual testing, test ...

burfordcap

QA Engineer

Manhattan, NY

$100K - $120K/yr

The firm seeks to hire a detail-oriented and technically capable QA Engineer to support the quality of complex, data-driven financial applications through a combination of manual testing, test ...

LENSAR, Inc.

Quality Assurance Engineer

Orlando, FL

Provide Quality Engineering support to manufacturing including validation activities, data analysis ... Quality Assurance Engineer's job. Reasonable accommodation can be made to enable people with ...

Prosum Inc.

QA Engineer

Glendale, CA · On-site

$42 - $57/hr

QA Engineer Pay Range: $42/hour to $57/hourPosition Overview We are seeking an experienced QA ... Develop risk-based test coverage across UI, API, integration, and data validation. * Establish ...

LENSAR, Inc.

Quality Assurance Engineer

Orlando, FL · On-site

Provide Quality Engineering support to manufacturing including validation activities, data analysis ... Quality Assurance Engineer's job. Reasonable accommodation can be made to enable people with ...

Argyllinfotech

Quality Assurance Engineer

Denver, CO · On-site

Quality Assurance Engineer Requisition ID: SB26-1249-QE1-2027 Location: Denver, Colorado Work ... Data-driven Keyword-driven Hybrid BDD Integrate automated testing with Git/GitLab, version control ...

PlanHub

QA Engineer

$82K - $92K/yr

QA Engineer PlanHub is the leading pre-construction SaaS platform and marketplace, connecting ... Write and execute SQL queries for data validation, backend testing, and API level verification.

Richmond National

Sr. QA Engineer (Data)

Glen Allen, VA · On-site

$95K - $115K/yr

Job Title: Sr. QA Engineer (Data) Location: On-site in Glen Allen, VA As a QA Engineer (Data) for Richmond National, you will be responsible for ensuring the quality and reliability of our Data ...

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.

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 ... Deep knowledge of trading protocols (FIX, proprietary protocols, market data feeds). * Experience ...

Amicis Global

QA Engineer

Seattle, WA · On-site

Title: 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 ...

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Data Qa Engineer information

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How much do data qa engineer jobs pay per year?

As of Sep 2, 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 is a Data QA engineer?

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 skills and qualifications are needed to be a Data QA engineer?

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.

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.

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Data Qa Engineer jobs near you
Infographic showing various Data Qa Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

QA Engineer

Vertex Sigma Software

Foster City, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Job description

QA Engineer

Onsite in Foster City, CA | 5 days in office

The Quality Assurance team is actively seeking a Quality Assurance Engineer to help ensure that our backend services are optimized, secure, and offer the highest level of reliability for our autonomous fleet management systems.

Our robots carry out critical missions such as rideshare trips, charging, cleaning and also provide rider interactions like authentication, ingress, and egress. The efficient performance of these tasks directly depends on the robustness of our backend infrastructure. As a QA Engineer, you will play an instrumental role in securing the high-quality operation of our systems, affecting the riders' experience and the overall efficiency of our autonomous fleet management.

Responsibilities

Design and implement test plans and procedures for our backend services, which include ride hailing, autonomous charging, cleaning, fleet monitoring and coordination applications

Validate and verify the functionality and efficiency of APIs, services and data models intended for use by rider mobile apps, robots and fleet management tools, and support the integration of these clients.Test the vehicle agent component that bridges communication between vehicle components and the backend service to ensure the communication is efficient and robust

Develop and execute automated test scripts that simulate multi-agent coordination, resource allocation, planning, and optimization workflows for a fleet of autonomous vehicles

Work closely with the development team to ensure that the backend systems are scalable, observable and fault tolerant

Lead independent activities such as ZPT triage, root cause analysis, release testing and process improvement, and contribute to developing products that impact humans and their experience in autonomous vehicle ride

Qualifications:

Bachelor's degree in an engineering, math, or related field

3+ years of experience in quality assurance

Experience with Python

Experience writing scripts that exercise workflows

Experience with APIs

Understanding API documentation and specifications

Experience analyzing backend logs for triaging issues and inclusion in bug reports

Able to lead independent activities such as root cause analysis, process improvement, etc.

Bonus Qualifications:

Familiarity with Kubernetes, Docker, Java, Kotlin

Masters degree in computer science or related degree

Experience with customer-facing application experience

Experience handling large data sets

Benefits

Health Care Plan (Medical, Dental & Vision)

Life Insurance (Basic, Voluntary & AD&D)

Paid Time Off (Vacation, Sick & Public Holidays)

Training & Development

Retirement Plan (401k, IRA)

Free breakfast and lunch