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Qa Engineer Jobs in Virginia (NOW HIRING)

Anika Systems

Quality Assurance Engineer

Leesburg, VA · On-site +1

Anika Systems is seeking a highly technical Quality Assurance Engineer with strong development, SQL, and Python expertise to support enterprise data platforms for federal clients. This is not a ...

Cymertek

QA Engineer

Reston, VA · On-site

QA Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are looking for a detail-oriented and passionate QA Engineer ...

BWXT

Quality Assurance Engineer

Lynchburg, VA

$85K - $134K/yr

As our Quality Assurance (QA) Engineer, you will be responsible for ensuring the quality, reliability, and compliance of design, analysis, and prototyping activities for new nuclear systems through ...

Cymertek

QA Engineer

Chantilly, VA · On-site

QA Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are looking for a detail-oriented and passionate QA ...

BWXT

Quality Assurance Engineer

Lynchburg, VA · On-site

As our Quality Assurance (QA) Engineer, you will be responsible for ensuring the quality, reliability, and compliance of design, analysis, and prototyping activities for new nuclear systems through ...

Cymertek

QA Engineer

Tysons, VA · On-site

QA Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are looking for a detail-oriented and passionate QA Engineer ...

BWXT

Quality Assurance Engineer

Lynchburg, VA · On-site

As our Quality Assurance (QA) Engineer, you will be responsible for ensuring the quality, reliability, and compliance of design, analysis, and prototyping activities for new nuclear systems through ...

BWXT

Quality Assurance Engineer

Lynchburg, VA · On-site

As our Quality Assurance (QA) Engineer, you will be responsible for ensuring the quality, reliability, and compliance of design, analysis, and prototyping activities for new nuclear systems through ...

Brightspot

Quality Assurance Engineer

Reston, VA · On-site

We are looking for a Quality Assurance Engineer who is passionate about delivering high-quality digital experiences and enjoys solving complex technical challenges. This role will focus on testing ...

BLN24

QA Engineer

Mclean, VA · On-site

Job Title: QA Engineer Company: BLN24 About Us:We find strength in teamwork-a better you is a better us BLN24 is an award-winning Management Consulting Firm thatsupports the U.S. Federal Government ...

BLN24

QA Engineer

Mclean, VA · On-site

BLN24 is seeking a QA Engineer to support the development and maintenance of Adobe Experience Manager (AEM) Forms applications, including customer-facing forms and notice generation systems. This ...

Brightspot

Quality Assurance Engineer

Reston, VA · On-site

We are looking for a Quality Assurance Engineer who is passionate about delivering high-quality digital experiences and enjoys solving complex technical challenges. This role will focus on testing ...

Securiport

Quality Assurance Engineer

Reston, VA · On-site

You will collaborate with the rest of the QA Team and developers to execute the quality assurance lifecycle. In addition, you will contribute directly to test design and execution. You will be ...

Securiport LLC

Quality Assurance Engineer

Reston, VA · On-site

You will collaborate with the rest of the QA Team and developers to execute the quality assurance lifecycle. In addition, you will contribute directly to test design and execution. You will be ...

Accelyst, LLC

Senior QA Engineer

Mclean, VA · On-site

Senior QA Engineer - Servicenow Plano Texas or McLean Virginia Introduction We are looking for a Senior QA Engineer to support a ServiceNow implementation team focused on the Integrated Risk ...

AaraTechnologies Inc

QA ENGINEER

Virginia Beach, VA · Remote

Collaborate with developers, analysts, and business teams * Maintain test documentation and QA artifacts Required Qualifications * 2 3 years of experience in QA or software testing * Knowledge of ...

INSPYR Solutions

Quality Assurance Engineer

Merrifield, VA · On-site

$60 - $66/hr

Quality Assurance Engineer Location: Vienna, VA (Hybrid) Duration: Initial 6 months plus extensions Rate: $60-$66/HR W2 Work Requirements: USC, Green Card and Authorized to work in US Summary Quality ...

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All JobsQa Engineer JobsQa Engineer Jobs in Virginia

Qa Engineer information

See Virginia salary details

$36.2K

$94.4K

$137.3K

How much do qa engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for qa engineer in Virginia is $94,351.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,300.00 and $110,500.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior engineers in fields such as software engineering, data engineering, and specialized roles like machine learning engineers often earn $300,000 or more annually, especially with experience, advanced skills, and in high-demand industries. Executive or lead engineering positions and those working at large tech companies or startups with equity can also reach this compensation level.

What engineer makes $500,000 a year?

Highly experienced software engineers, especially those in senior or specialized roles such as machine learning engineers or software architects, can earn $500,000 or more annually. These roles often require advanced skills, certifications, and extensive industry experience, and compensation may include base salary, bonuses, and stock options.

What does a QA engineer do?

A QA engineer is responsible for testing software to identify bugs and ensure quality standards are met. They develop test plans, execute manual or automated tests, and document issues for developers to fix. Strong attention to detail and knowledge of testing tools like Selenium or JUnit are essential in this role.

What are the key skills and qualifications needed to thrive as a QA Engineer, and why are they important?

To thrive as a QA Engineer, you need a solid understanding of software testing principles, programming or scripting knowledge, and familiarity with quality assurance methodologies, often supported by a degree in computer science or a related field. Experience with test automation tools (such as Selenium or JUnit), bug tracking systems, and sometimes certifications like ISTQB are typically required. Attention to detail, analytical thinking, and strong communication skills help QA Engineers identify issues and collaborate effectively with development teams. These skills ensure the delivery of reliable, high-quality software products that meet user requirements and business goals.

What are QA Engineers?

QA Engineers, or Quality Assurance Engineers, are professionals responsible for ensuring that software products meet established quality standards before they are released to customers. They design and execute tests, identify bugs or issues, and work closely with development teams to resolve problems. QA Engineers play a crucial role in the software development lifecycle by preventing defects, improving product reliability, and ensuring a smooth user experience. Their work may involve manual testing, automated testing, and creating test documentation.

What is the difference between Qa Engineer vs Software Tester?

AspectQa EngineerSoftware Tester
CertificationsISTQB, CSTE, CSQAISTQB, CSQA (optional)
Work EnvironmentInvolved in automation, process improvement, and quality strategyPrimarily manual testing and test case execution
ResponsibilitiesDesigning test plans, automation, defect analysis, quality assuranceExecuting test cases, reporting bugs, verifying fixes
Industry UsageUsed across software development companies, especially in Agile and DevOpsCommon in traditional and Agile environments

The main difference between a Qa Engineer and a Software Tester lies in their scope and responsibilities. Qa Engineers typically focus on automation, quality processes, and strategic testing, while Software Testers mainly perform manual testing and bug reporting. Both roles are essential for ensuring software quality, but Qa Engineers often have a broader role in quality assurance and process improvement.

How does a QA Engineer typically collaborate with developers and other team members during the software development lifecycle?

QA Engineers work closely with developers, product managers, and sometimes UX/UI designers throughout the software development lifecycle. They participate in sprint planning meetings, provide input on testability during requirements discussions, and collaborate with developers to understand new features and identify potential issues early. Regular communication helps ensure that quality standards are met and bugs are addressed promptly, resulting in a more efficient release process and higher-quality products. This collaborative environment also provides QA Engineers with opportunities to expand their technical knowledge and grow within the team.

Will QA testing be replaced by AI?

QA Engineers perform testing to identify software issues, and AI tools are increasingly used to automate repetitive tasks and analyze large data sets. However, AI currently complements rather than replaces human judgment, critical thinking, and understanding of complex systems in QA processes.

What Does a QA Engineer Do?

As a QA engineer, you monitor the development process and design troubleshooting tests to ensure software or manufacturing materials have no significant issues. If your tests identify problems with the software, you then send the review and feedback to the product design team so they can make plans to debug the software and return it to you for further testing. Your duties include designing various tests, scenarios, and scripts to assess whether or not a piece of software is ready for release. You also track and document your findings using a bug tracking system and participate in design review meetings to provide reports on your results.

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Qa Engineer jobs near you
Quality Assurance Engineer

Quality Assurance Engineer

Anika Systems

Leesburg, VA • On-site, Remote

Full-time

Posted 24 days ago

Job description

Anika Systems is seeking a highly technical Quality Assurance Engineer with strong development, SQL, and Python expertise to support enterprise data platforms for federal clients. This is not a traditional manual QA role and this position requires a developer mindset, focused on automation, data validation, and platform reliability across modern cloud-based architectures.
The ideal candidate will design and implement automated testing frameworks for ETL pipelines, Apache Iceberg data architectures, XBRL datasets, and performance-optimized structures such as materialized views-ensuring data accuracy, integrity, and trust across the enterprise. This role also requires proficiency in AI tools and AI-driven workflows, leveraging automation and intelligent testing techniques to improve quality and delivery speed.
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 Python and SQL.
  • Build reusable testing utilities for data validation, regression testing, and pipeline certification.
  • Integrate automated tests into CI/CD pipelines to support continuous testing and deployment.
  • Develop unit, integration, and end-to-end test cases for complex data workflows.
  • Leverage AI-assisted testing tools to generate test cases, identify edge cases, and improve test coverage.
Data Validation & ETL Testing
  • Validate ETL/ELT pipelines to ensure accurate ingestion, transformation, and delivery of data.
  • Create automated checks for data completeness, consistency, accuracy, and timeliness.
  • Test ingestion and transformation of complex datasets, including XBRL financial data.
  • Implement reconciliation and audit mechanisms across source-to-target mappings.
  • Apply AI-driven anomaly detection to identify data quality issues and pipeline failures.
Iceberg & Materialized View Testing
  • Develop and execute test strategies for Apache Iceberg-based data lakehouse architectures, including:
    • Schema evolution validation
    • Time travel and versioning accuracy
    • Partitioning and performance behavior
  • Validate and compare materialized views vs. Iceberg table performance and consistency, including:
    • Query performance benchmarking
    • Data freshness and latency
    • Storage efficiency and maintenance overhead
  • Ensure alignment between precomputed datasets (materialized views) and underlying source data.
Data Quality, Metadata & Context Validation
  • Implement automated validation for data quality rules, lineage, and metadata accuracy.
  • Support context engineering by validating that datasets include proper business context, definitions, and relationships.
  • Integrate QA processes with enterprise data catalogs and metadata systems to ensure discoverability and trust.
  • Validate AI-generated metadata, lineage, and transformations for accuracy and traceability.
AI-Driven Quality Engineering
  • Apply AI/ML and generative AI tools to enhance QA processes, including intelligent test generation, defect prediction, and automated root cause analysis.
  • Validate data readiness for AI/ML and generative AI use cases, ensuring datasets meet quality, completeness, and governance standards.
  • Collaborate with data and AI teams to test data pipelines supporting RAG, analytics, and machine learning workflows.
  • Ensure alignment with responsible AI practices, including traceability, explainability, and data integrity.
OCDO & Data Strategy Support
  • Support enterprise data management programs and OCDO initiatives by ensuring data quality and reliability across systems.
  • Contribute to data maturity assessments by evaluating data quality, testing coverage, and governance adherence.
  • Align QA processes with Federal Data Strategy and Evidence Act requirements.
Stakeholder Collaboration & Agile Delivery
  • Work closely with data engineers, data architects, and analysts to define test strategies and acceptance criteria.
  • Participate in stakeholder engagement sessions and listening campaigns to understand data quality expectations and pain points.
  • Document test results, defects, and quality metrics for both technical and non-technical stakeholders.
  • Operate within Agile teams to iteratively improve data quality processes and tooling.
  • Promote adoption of AI-driven efficiencies and automation across QA and data engineering workflows.
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
  • 5+ years of experience in QA engineering, data testing, or software development.
  • Strong programming skills in Python and advanced proficiency in SQL.
  • Experience building automated test frameworks for data platforms and ETL pipelines.
  • Hands-on experience with:
    • AWS data services (S3, Glue, Redshift, Lambda, etc.)
    • Apache Iceberg or similar data lake technologies
  • Experience validating materialized views and performance-optimized data structures.
  • Familiarity with XBRL or complex financial/regulatory datasets.
  • Understanding of data modeling, metadata, and data governance principles.
  • Experience with CI/CD tools and automated testing integration.
  • Demonstrated proficiency with AI tools and AI-assisted development/testing workflows.
  • Understanding of data quality requirements for AI/ML and analytics use cases.
  • U.S. Citizenship required; ability to obtain and maintain a federal clearance.
Preferred Qualifications
  • Experience supporting federal agencies such as SEC, DHS, Treasury, or Federal Reserve System.
  • Familiarity with data catalog and governance tools (e.g., Collibra, Alation, ServiceNow).
  • Experience with Apache Spark or distributed data processing frameworks.
  • Knowledge of data quality tools and observability platforms.
  • Exposure to data maturity frameworks (e.g., EDM DCAM, TDWI).
  • Experience testing large-scale cloud data platforms and lakehouse architectures.
  • Experience validating data pipelines supporting AI/ML, analytics, or generative AI solutions.
  • Familiarity with AI-driven testing tools or frameworks.

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