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Associate 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 ...

Leidos

Quality Assurance Engineer

Rosslyn, VA · On-site

The Quality Assurance (QA) Engineer in support of the GSM-O II program will perform as a Multi-Function Systems Analyst and be responsible for the quality of services delivered on the program. The ...

Leidos

Quality Assurance Engineer

Lorton, VA · On-site

The Quality Assurance Engineer will ensure the design, development, and deployment of systems, hardware, and components meet stringent quality standards as well as support the internal quality ...

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

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

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

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 ...

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

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 ...

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 ...

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 ...

Accelyst, LLC

Senior QA Engineer

Mclean, VA

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 ...

New

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 ...

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Associate Qa Engineer information

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$16

$32

$48

How much do associate qa engineer jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for associate qa engineer in Virginia is $32.26, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $37.16 per hour, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior software engineers, especially those with expertise in high-demand areas like machine learning, cloud computing, or cybersecurity, can earn $300,000 or more annually. These roles often require advanced skills, extensive experience, and sometimes leadership responsibilities or specialized certifications.

What is the difference between Associate Qa Engineer vs QA Tester?

AspectAssociate Qa EngineerQA Tester
Required CredentialsTypically a bachelor's degree in Computer Science or related field; some certifications like ISTQB are commonHigh school diploma or equivalent; certifications like ISTQB are also common but less frequently required
Work EnvironmentCollaborates with development teams, involved in test planning, automation, and process improvementPrimarily executes test cases, reports bugs, and verifies fixes
Employer & Industry UsageUsed across software development companies, especially in roles involving quality assurance and testingCommon in software companies, often as entry-level testing roles

The Associate Qa Engineer typically has a broader role involving test planning and automation, requiring more technical skills and collaboration. In contrast, a QA Tester mainly focuses on executing tests and reporting issues. Both roles are essential in software quality assurance but differ in scope and responsibilities.

Will QA or SDET get replaced by AI?

QA and SDET roles involve designing test cases, analyzing complex systems, and ensuring software quality, which currently require human judgment and creativity. While AI tools can assist with automation and repetitive tasks, they are unlikely to fully replace the need for skilled QA and SDET professionals in the near future. Continuous learning and adapting to new testing tools and methodologies remain important for these roles.

What are Associate QA Engineers?

Associate QA Engineers are entry-level professionals responsible for testing software to ensure it meets quality standards before release. They create and execute test cases, report bugs, and work closely with developers to resolve issues. Their role is crucial in identifying problems early in the development process to improve product reliability and user satisfaction. Associate QA Engineers typically use various testing tools and may be involved in both manual and automated testing.

What are some common challenges faced by Associate QA Engineers when working with cross-functional teams?

Associate QA Engineers often collaborate with developers, product managers, and designers to ensure software quality. A common challenge is clearly communicating defects or requirements, especially when different teams use technical jargon or have different priorities. Balancing tight project deadlines with thorough testing can also be demanding. Being proactive in asking questions and fostering open communication helps Associate QA Engineers navigate these challenges and contribute effectively to the team's success.

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

To thrive as an Associate QA Engineer, you need a strong understanding of software testing principles, attention to detail, and a foundational knowledge of programming or scripting languages, often supported by a degree in computer science or a related field. Familiarity with testing tools such as Selenium, Jira, or TestRail, and knowledge of automated testing frameworks or ISTQB certification are typically required. Effective communication, problem-solving abilities, and a collaborative mindset help you excel in cross-functional teams and adapt to changing project needs. These skills ensure the delivery of high-quality software products by identifying and resolving issues efficiently throughout the development lifecycle.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or engineering management can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries like technology or finance. Compensation at this level often includes base salary, bonuses, and stock options or equity.

What does an associate QA engineer do?

An associate QA engineer is responsible for testing software to identify bugs and ensure quality standards are met. They create test cases, execute manual or automated tests, document issues, and collaborate with developers to improve product reliability. Familiarity with testing tools and basic scripting is often required for this role.
What are the most commonly searched types of Qa Engineer jobs in Virginia? The most popular types of Qa Engineer jobs in Virginia are:
What are popular job titles related to Associate Qa Engineer jobs in Virginia? For Associate Qa Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Associate Qa Engineer jobs in Virginia look for? The top searched job categories for Associate Qa Engineer jobs in Virginia are:
What cities in Virginia are hiring for Associate Qa Engineer jobs? Cities in Virginia with the most Associate Qa Engineer job openings:
Associate Qa Engineer jobs near you
Infographic showing various Associate Qa Engineer job openings in Virginia as of June 2026, with employment types broken down into 5% As Needed, 69% Full Time, 12% Part Time, 5% Temporary, 7% Contract, and 2% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $67,106 per year, or $32.3 per hour.
Quality Assurance Engineer

Quality Assurance Engineer

Anika Systems

Leesburg, VA • On-site, Remote

Full-time

Posted 18 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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