1

Virtual Embedded Software Qa Engineer Jobs in Richmond, VA

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 ... Your expertise in automated testing, software quality assurance, and insurance industry knowledge ...

... with developers, QA leads, and business stakeholders to ensure software quality • Maintain test documentation, test cases, and test coverage reports • Perform regression testing and support ...

Sr. QA Automation Engineer - Contract or CTP - Remote - $55.00 - $60.00 The final salary or hourly ... Strong understanding of software quality assurance principles and testing methodologies. Additional ...

QA Analyst

Richmond, VA · On-site

$100K - $115K/yr

Are you a quality-minded engineer ready to shape how great software gets built? Join Kinsale ... About the Role As a QA Analyst, you'll serve as a proactive quality partner throughout the software ...

Role: QA Software Tester Location: Glen Allen, VA Note: NO H1B, OPT Visa Top Technical Skills ... Azure DevOps (Boards, Repos, Pipelines, Test Plans) - Strong experience using Azure DevOps for ...

QA Analyst

Richmond, VA · On-site

$100K - $115K/yr

Are you a quality-minded engineer ready to shape how great software gets built? Join Kinsale ... About the Role As a QA Analyst, you'll serve as a proactive quality partner throughout the software ...

QA Analyst

Richmond, VA

$100K - $115K/yr

Are you a quality-minded engineer ready to shape how great software gets built? Join Kinsale ... About the Role As a QA Analyst, you'll serve as a proactive quality partner throughout the software ...

next page

Showing results 1-20

Virtual Embedded Software Qa Engineer information

See Richmond, VA salary details

$69.3K

$151.8K

$172.2K

How much do virtual embedded software qa engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for virtual embedded software qa engineer in Richmond, VA is $151,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,100.00 and $171,200.00 per year, depending on experience, location, and employer.

What is the difference between Virtual Embedded Software Qa Engineer vs Embedded Software Tester?

AspectVirtual Embedded Software Qa EngineerEmbedded Software Tester
CredentialsTypically requires a degree in Computer Engineering or related field, certifications like ISTQB are commonSimilar credentials, often with certifications like ISTQB or CSTE
Work EnvironmentWorks remotely or virtually, testing embedded software in simulated or cloud environmentsUsually works on-site or in lab environments testing physical embedded hardware and software
Industry UsageUsed in industries like automotive, aerospace, and consumer electronics for remote testingCommon in manufacturing, hardware development, and product testing facilities

The Virtual Embedded Software Qa Engineer focuses on remote testing and validation of embedded software, often using simulation tools, while the Embedded Software Tester typically works directly with hardware and physical devices. Both roles require similar skills and certifications but differ mainly in work environment and testing methods.

What are popular job titles related to Virtual Embedded Software Qa Engineer jobs in Richmond, VA?

For Virtual Embedded Software Qa Engineer jobs in Richmond, VA, the most frequently searched job titles are:

What job categories do people searching Virtual Embedded Software Qa Engineer jobs in Richmond, VA look for?

The top searched job categories for Virtual Embedded Software Qa Engineer jobs in Richmond, VA are:

What cities near Richmond, VA are hiring for Virtual Embedded Software Qa Engineer jobs?

Cities near Richmond, VA with the most Virtual Embedded Software Qa Engineer job openings:

Infographic showing various Virtual Embedded Software Qa Engineer job openings in Richmond, VA as of July 2026, with employment types broken down into 1% Internship, 87% Full Time, 9% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $151,793 per year, or $73 per hour.

Sr. QA Engineer (Data)

Richmond National

Glen Allen, VA • On-site

$95K - $115K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

Job Title: Sr. QA Engineer (Data)
Location: On-site in Glen Allen, VA
Job Description: As a QA Engineer (Data) for Richmond National, you will be responsible for ensuring the quality and reliability of our Data products (Databases, Reports, Data Pipelines, ETL, Machine Learning models etc.) through effective testing and automation. You will collaborate closely with the Data team to design, develop, execute, and maintain test scripts, frameworks, and tools. Your expertise in automated testing, software quality assurance, and insurance industry knowledge will be crucial in identifying defects, ensuring compliance, and delivering high-quality Data products to support our business operations.
Responsibilities:
Test Automation:
  • Design, develop, and maintain automated test scripts, frameworks, and tools using industry-standard testing tools and methodologies.
  • Collaborate with internal and external development teams to identify areas suitable for automation and integrate automated tests into the continuous integration and delivery pipelines.
  • Execute automated tests and analyze results to identify and report defects and inconsistencies, ensuring proper tracking and documentation of issues.

Test Planning and Strategy:
  • Collaborate with business analysts, data engineers, data analysts, software developers, and other stakeholders to understand project requirements and design comprehensive test plans and strategies.
  • Develop and maintain test cases, test scenarios, and test data to ensure maximum test coverage and effectiveness.
  • Contribute to the creation and maintenance of a test repository for reusability and efficiency.

Defect Management:
  • Identify, track, and report defects using issue tracking systems, ensuring clear and accurate documentation of issues and their resolutions.
  • Collaborate with Agile development teams to investigate and troubleshoot issues, providing detailed information and assisting in root cause analysis.
  • Validate defect fixes and perform regression testing to ensure no new issues arise.

Test Environment Management:
  • Assist in setup and maintenance of test environments, including test data preparation and configuration management, to support test execution and ensure accurate results.
  • Collaborate with system administrators and other stakeholders to ensure the availability and stability of test environments.

Quality Assurance:
  • Contribute to the continuous improvement of software quality assurance practices, processes, and tools.
  • Participate in code reviews, requirements reviews, and design discussions to provide valuable input from a quality perspective.
  • Stay updated with industry trends and advancements in test automation tools and techniques and recommend improvements to enhance testing efficiency and effectiveness.

Collaboration and Communication:
  • Collaborate with business analysts, data engineers, data analysts, software developers, and other stakeholders, to ensure a seamless integration of testing activities throughout the software development lifecycle.
  • Communicate testing progress, status, and any potential risks to stakeholders, including management and project teams.

Qualifications:
  • Bachelor's degree in Computer Science or a related field preferred.
  • Proven experience (3-5+ years) as a QA Engineer, testing various Data Products on AWS cloud environment.
  • Strong Data analytical skills using SQL, Excel and other tools.
  • Strong understanding of Data QA methodologies, Data validation techniques, API and ETL/ELT testing best practices.
  • Proficiency in scripting languages (Python, Java, Typescript etc.) for test automation.
  • Proficiency in test automation frameworks and tools (Selenium, Cucumber, JUnit).
  • Experience with testing Machine Learning and AI models
  • Experience with various AWS Services including S3, Lambda, Glue and others.
  • Familiarity with continuous integration and delivery (CI/CD) concepts and tools.
  • Strong analytical and problem-solving skills, attention to detail, and the ability to prioritize and multitask in a fast-paced environment.
  • Excellent communication and collaboration skills, with the ability to work effectively in a team and interact with stakeholders at various levels.

Compensation:
At the time of posting, the expected base salary range for this role is $95,000-$115,000 annually. Additionally, this position is eligible for participation in our annual bonus program. Actual compensation will be determined by many factors, including but not limited to, location, education, certifications, qualifications, relevant experience, internal equity, business need, and any applicable minimum wage requirements. Richmond National offers a comprehensive benefits package, more details on which can be found below.
Benefits Overview
  • Medical, Dental, and Vision insurance plans. FSA/HSA plans available.
  • Basic Life/AD&D/Short Term/Long Term Disability coverage.
  • 401(k) - Company match of up to 6%
  • Flexible PTO plan, 11 paid company-wide holidays, plus your birthday off.
  • Recognized as a Top Workplace by Richmond Times-Dispatch

Equal Employment Opportunity (EEO)
Richmond National is an equal employment opportunity employer, the Company's employment decisions and practices are not and will not be unlawfully influenced or affected by race, color, creed, age, religion, national origin, sex, disability, genetic information, veteran status, uniformed services, sexual orientation (including transgender status, gender identity or expression), gender, traits historically associated with race, such as hairstyle, pregnancy, childbirth, or related medical conditions or on any other characteristic protected by applicable federal, state, or local law. This policy of equal employment opportunity applies to all policies and procedures relating to recruitment and hiring, compensation, benefits, and all other terms and conditions of employment.