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Remote Data Quality Reviewer Jobs in Virginia (NOW HIRING)

Data Engineer - Remote

Virginia Beach, VA ยท On-site +1

$108K - $130K/yr

Remote opportunities available in the following states: Alabama, Delaware, Florida, Georgia, Idaho ... Implement data quality checks and validation rules within pipelines * Support ingestion from file ...

... consider remote within footprint. Identifies business unit data critical business process and ... Review trusted source assignments - collaborate with Technical Data Stewards. 3. Data Quality: a.

Define and enforce data quality standards, validation rules, data dictionaries, scorecards, issue ... loop review, or secure AI-enabled analytics. * Experience with SQL, Python, R, Databricks ...

Data Governance Lead

Mclean, VA ยท On-site +1

$99K - $225K/yr

Remote Work: Hybrid Job Number: R0241460 Location: McLean,VA,US Share job via: Share Data ... Data Quality and Compliance: Monitor and improve data quality, enforce regulatory compliance, and ...

Data Architect III

Richmond, VA ยท Remote

$63 - $81.25/hr

... remote team focused on business intelligence and analytics ... This role offers the opportunity to shape data models, improve data quality, and help enable strong ...

New

Data Engineer

Centreville, VA ยท On-site +1

$113K - $136K/yr

Track data versions, implement data quality checks, and ensure data reliability. * Design and ... Participate in code reviews and promote best practices across the team. Required Qualifications ...

Lidar Quality Analyst

Fairfax, VA ยท Remote

$69K - $88K/yr

Typical responsibilities include detailed analysis and review of topographic lidar data ... Bachelor's degree in Geography, GIS, or related field * 5+ years of experience in the GIS/Remote ...

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Remote Data Quality Reviewer information

What is a remote data quality reviewer?

A Remote Data Quality Reviewer is a professional who evaluates and ensures the accuracy, completeness, and reliability of data collected or processed by an organization, all while working from a remote location. Their duties often include checking data for errors, inconsistencies, or missing information, and recommending corrections or improvements. They may work with various types of data, such as customer records, survey responses, or financial information, depending on the industry. This role is crucial for maintaining high data standards and supporting decision-making processes within a company.

What are the key skills and qualifications needed to thrive as a remote data quality reviewer, and why are they important?

To thrive as a Remote Data Quality Reviewer, you generally need strong analytical abilities, attention to detail, and experience with data validation, often supported by a bachelor's degree in a relevant field such as statistics, computer science, or information management. Familiarity with data management tools, spreadsheet software (like Excel), and database systems, as well as knowledge of quality assurance frameworks, is typically required. Excellent written communication, critical thinking, and the ability to work independently are important soft skills for this remote position. These capabilities ensure accurate data assessment, help maintain data integrity, and contribute to reliable decision-making across organizations.

What are some common challenges faced by remote data quality reviewers, and how can they be addressed?

Remote Data Quality Reviewers often encounter challenges such as managing large data sets, maintaining focus during repetitive review tasks, and ensuring effective communication with distributed teams. Staying organized with clear workflow tools and setting regular check-ins with team members can help mitigate feelings of isolation and prevent errors. Additionally, leveraging automated validation tools and maintaining up-to-date documentation ensures consistency and accuracy in data review processes.

What cities in Virginia are hiring for Remote Data Quality Reviewer jobs?

Cities in Virginia with the most Remote Data Quality Reviewer job openings:

Infographic showing various Remote Data Quality Reviewer job openings in Virginia as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 100% Remote job distribution.

SENIOR AWS DATA-INTEGRATION AND DATA-QUALITY ENGINEER - Remote

Midlothian, VA โ€ข On-site, Remote

$108K - $130K/yr

Full-time

Posted 7 days ago


Job description

Axyde Analytics seeks a senior AWS data engineer to design and implement managed-service data-ingestion, transformation, quality, cataloging, and monitoring capabilities for a federal enterprise analytics platform.
Responsibilities
  • Establish and maintain secure connections to heterogeneous Government and public data sources.
  • Ingest structured, semi-structured, and unstructured information.
  • Configure Amazon S3, AWS Glue Data Catalog, Glue Crawlers, Athena, Step Functions, EventBridge, and approved managed data-preparation services.
  • Design reusable patterns for JDBC, Oracle, Red Hat/Linux, APIs, files, PDFs, scheduled feeds, and unscheduled uploads.
  • Incorporate Government-furnished Spark-compatible transformation logic into the approved architecture.
  • Implement schema inference, standardization, validation, lineage, quality controls, and exception handling.
  • Detect connection failures, schema changes, stale data, duplicates, prohibited data, and other quality issues.
  • Support daily refresh requirements and scalable onboarding of new data sources.
  • Produce technical documentation, runbooks, data dictionaries, and source-to-interface mappings.
  • Support the live technical demonstration and subsequent production transition.

Required Experience
  • Five or more years of senior AWS data-engineering experience.
  • Strong hands-on experience with S3, Glue, Athena, Step Functions, EventBridge, and AWS-native monitoring.
  • Experience integrating relational databases, APIs, documents, and mixed-format enterprise data.
  • Demonstrated experience with data quality, metadata management, schema evolution, lineage, and operational monitoring.
  • Familiarity with Spark, PySpark, JavaSpark, or Spark transformation patterns.
  • Experience in federal, regulated, or sensitive-data environments strongly preferred.

Architecture Constraint
Implementation must remain within Axyde's approved AWS managed-service baseline. Candidates must not assume that custom Python, Lambda, containers, EC2, third-party libraries, or external integration platforms may be used.
Engagement
U.S. citizenship required. Remote within the United States with occasional travel. Immediate proposal and demonstration support may be available; longer-term work is contingent upon award.