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Senior Qa Data Engineer Jobs in Virginia (NOW HIRING)

Analygence

Data Scientist

Arlington, VA · On-site

Provide senior analytical consultation to AF/A33B on how Mission Assurance data can be structured ... Provide technical leadership, quality review, knowledge transfer, and analytical guidance to Data ...

VB Spine

Sr. Quality Engineer

Leesburg, VA · On-site

$100K - $110K/yr

As a Senior Quality Engineer in our CQR function within the Spine division, you'll provide advanced quality assurance, control, and preventative expertise - supporting manufacturing processes ...

AaraTechnologies Inc

QA ENGINEER

Virginia Beach, VA · On-site

Validate healthcare data and reporting outputs * Identify, log, track, and retest defects * Support ... Collaborate with developers, analysts, and business teams * Maintain test documentation and QA ...

Avanza LLC

QA Engineer

Arlington, VA

The QA Engineer will develop test strategies, perform manual and automated testing, manage defects ... Create and maintain representative test data, test environments, reusable test assets, edge-case ...

Avanza LLC

QA Engineer

Arlington, VA · On-site

$100K - $130K/yr

The QA Engineer will develop test strategies, perform manual and automated testing, manage defects ... Create and maintain representative test data, test environments, reusable test assets, edge-case ...

Analygence

Data Scientist

Arlington, VA

... and quality assurance of Mission Assurance data workflows, analytical models, and Foundry applications. * Provide senior analytical consultation to AF/A33B on how Mission Assurance data can be ...

Hitachi

Sr. Quality Engineer

South Boston, VA · On-site

$78K - $107K/yr

Analyze quality data, identify trends, and drive corrective and preventive actions to improve ... quality assurance experience within a manufacturing or industrial environment. * Experience ...

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Senior Qa Data Engineer information

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

To thrive as a Senior QA Data Engineer, you need expertise in data validation, test automation, SQL, and a strong background in computer science or a related field. Experience with tools like Selenium, Apache Spark, Python, and test management systems, as well as certifications such as ISTQB, are highly valued. Attention to detail, analytical thinking, and effective communication are crucial soft skills for collaborating with data and engineering teams. These abilities ensure the reliability, accuracy, and quality of data pipelines and analytics, which are vital for informed business decisions.

How does a senior QA data engineer typically collaborate with data engineering and analytics teams?

As a Senior QA Data Engineer, collaboration with data engineering and analytics teams is essential to ensure data quality across the pipeline. You’ll often work closely with data engineers to design and implement testing frameworks, validate ETL processes, and troubleshoot data issues. Regular interactions with analytics teams help you understand business requirements and ensure that data delivered for analysis is accurate and reliable. This collaborative environment supports continuous improvement, efficient problem-solving, and alignment of data quality standards with organizational goals.

What is a senior QA data engineer?

Senior QA Data Engineers are experienced professionals responsible for ensuring the quality and reliability of data systems, pipelines, and products. They design and implement testing strategies, develop automated tests, and work closely with data engineers and analysts to validate data integrity and performance. Their expertise helps organizations maintain high data quality standards, prevent errors, and support informed decision-making by ensuring that data is accurate, consistent, and secure.
What are popular job titles related to Senior Qa Data Engineer jobs in Virginia? For Senior Qa Data Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Senior Qa Data Engineer jobs in Virginia look for? The top searched job categories for Senior Qa Data Engineer jobs in Virginia are:
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Senior Qa Data Engineer jobs near you
Infographic showing various Senior Qa Data Engineer job openings in Virginia 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, 4% Hybrid, and 10% Remote job distribution.

Data Scientist

Analygence

Arlington, VA • On-site

Full-time

Posted 23 days ago

Job description

Description
Tharros is actively pursuing an opportunity to support the Air Force Mission Assurance Construct Support (MACS) program, providing mission analysis, base assessment support, and data platform management services that strengthen the Air Force's Mission Assurance Construct.
Tharros is seeking a Data Scientist to serve as the program's senior analytical authority, leading development and application of advanced data science methods, analytical models, and Palantir Foundry applications in direct support of Mission Assurance decision-making. Where the Senior Solutions Architect provides architectural stewardship over the data infrastructure layer, the Senior Data Science Consultant leads to the analytical application layer building sophisticated models, developing Foundry applications, and providing expert consultation on how Mission Assurance data can be exploited to inform senior-leader decisions at enterprise scale. This individual works independently on high-visibility and mission-critical analytical efforts and may oversee the work of Data Analysts, Data Managers, and Workflow Support Specialists on assigned analytical development activities.
Key Responsibilities
  • Lead development and application of advanced data science, AI/ML, statistical modeling, predictive analytics, and automation methods to extract actionable insights from Mission Assurance assessment reports, dependency data, risk records, and related stakeholder documentation.
  • Design, build, and sustain analytical models that support COA analysis, risk prioritization, dependency mapping, mitigation effectiveness evaluation, ROI-based decision support, and enterprise-level Mission Assurance risk visibility.
  • Lead development of Mission Assurance analytical applications within Palantir Foundry, including decision-support tools, risk monitoring applications, COA comparison interfaces, dashboards, and governance preparation products.
  • Support implementation, sustainment, scaling, lifecycle management, documentation, and quality assurance of Mission Assurance data workflows, analytical models, and Foundry applications.
  • Provide senior analytical consultation to AF/A33B on how Mission Assurance data can be structured, modeled, automated, and exploited to improve decision-support products for senior Air Force and Department of War leaders.
  • Develop analytical products, dashboards, monitoring views, and interfaces that provide accurate, timely Mission Assurance information and support integration with relevant Air Force, Joint, or Department of War reporting systems.
  • Aggregate, normalize, prioritize, and analyze Mission Assurance risks and dependencies at enterprise scale to identify trends, systemic vulnerabilities, recurring dependencies, cross-mission risk drivers, and resource implications.
  • Prepare decision-support briefings, risk summaries, analytical products, and COA comparison outputs for Mission Assurance governance forums, including MACBs, SSGs, and senior-leader decision cycles.
  • Coordinate analytical development activities using Government-directed collaboration and task management platforms, including Platform One, Mattermost, Jira, and Confluence, while documenting methods, findings, and product delivery.
  • Provide technical leadership, quality review, knowledge transfer, and analytical guidance to Data Analysts, Data Managers, Workflow Support Specialists, the Program Manager, and the Senior Solutions Architect on assigned data science and application development activities.

Requirements
  • Master's degree
  • Active TS, eligible for SCI
  • More than ten years of professional experience in any career field, discipline, or industry.
  • Ability to perform functional duties independently and provide technical oversight to less senior staff assigned to data science and application development activities.
  • Palantir Foundry Application Developer Certification.
  • Demonstrated experience developing analytical applications within Palantir Foundry or comparable enterprise data platforms, including design, build, testing, sustainment, and documentation of decision-support tools and analytical interfaces.
  • Demonstrated experience applying advanced data science methods, including AI/ML, statistical modeling, predictive analytics, or automation, to operational or mission-focused analytical problems in a Department of
  • Defense environment.
  • Experience developing ROI-based analytical models, COA comparison frameworks, risk prioritization approaches, or comparable decision-support products for senior military or civilian leadership.
  • Experience providing senior analytical consultation to Government program leadership on data science methods, model design, analytical product strategy, and decision-support modernization.

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