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Remote Data Quality Analyst Jobs in Virginia (NOW HIRING)

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Lidar Quality Analyst

Fairfax, VA · Remote

$69K - $88K/yr

Our client is currently seeking a Quality Analyst to support operations within our Geospatial ... GIS/remote sensing platforms * Bathymetric data processing and/or verification experience

Dewberry

Geospatial Quality Analyst

Fairfax, VA · On-site +1

Dewberry is currently seeking a Quality Analyst to support operations within our Geospatial ... GIS/remote sensing platforms * Bathymetric data processing and/or verification experience

ICF

Manager, Data Analytics - Remote

Reston, VA · Remote

This position is remote within the United States. Please note that ICF monitors employee work ... Define and enforce data quality standards, validation rules, data dictionaries, scorecards, issue ...

Maximus

Risk, Quality and Performance Analyst

VA · On-site +1

General information Job Posting Title Risk, Quality and Performance Analyst Date Tuesday, June 9, 2026 City Remote Country United States Working time Full-time Description & Requirements Maximus is a ...

ICF

Data and Quality Manager- REMOTE

Reston, VA · Remote

Collect, analyze, and report quantitative and qualitative data from surveys, interviews, focus ... Lead Continuous Quality Improvement (CQI) activities, including quality reviews, monitoring ...

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Remote Data Quality Analyst information

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How much do remote data quality analyst jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for remote data quality analyst in Virginia is $37.64, according to ZipRecruiter salary data. Most workers in this role earn between $27.16 and $45.62 per hour, depending on experience, location, and employer.

What is a remote data quality analyst?

A Remote Data Quality Analyst is a professional who works from a remote location to ensure the accuracy, consistency, and reliability of data within an organization. They are responsible for identifying data errors, analyzing data quality issues, and recommending improvements to data management processes. Their work supports business decision-making by ensuring that high-quality data is available for analysis. Remote Data Quality Analysts typically use various tools and software to monitor, validate, and report on data quality from a distance. This role often requires strong analytical skills, attention to detail, and proficiency with data management technologies.

What are the key skills and qualifications needed to thrive as a remote data quality analyst?

To thrive as a Remote Data Quality Analyst, you need strong analytical skills, attention to detail, and a background in statistics or computer science, often supported by a bachelor's degree. Familiarity with data management systems, SQL, data visualization tools, and relevant certifications like CDMP or Six Sigma is common. Excellent communication, problem-solving abilities, and self-motivation are standout soft skills for collaborating remotely and ensuring data integrity. These skills and qualities are vital to ensure accurate data analysis, support business decision-making, and maintain high data quality standards in a distributed work environment.

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

Remote Data Quality Analysts often face challenges such as ensuring consistent communication with team members, maintaining data accuracy across disparate systems, and staying updated on evolving data standards. To address these, it's important to establish clear communication channels, use collaborative tools for real-time data validation, and participate in regular training or knowledge-sharing sessions. Building strong relationships with stakeholders and proactively seeking feedback can also enhance data quality and streamline problem-solving in a remote setting.

What is the difference between Remote Data Quality Analyst vs Remote Data Analyst?

AspectRemote Data Quality AnalystRemote Data Analyst
CredentialsTypically requires data quality certifications, SQL, and data management skillsOften requires data analysis certifications, SQL, and statistical knowledge
Work EnvironmentFocuses on data accuracy, validation, and quality control in a remote settingInvolves analyzing datasets, generating reports, and providing insights remotely
Industry UsageCommon in data management, healthcare, finance, and tech companiesWidely used across marketing, finance, tech, and research sectors

The main difference is that a Remote Data Quality Analyst concentrates on ensuring data accuracy and integrity, while a Remote Data Analyst focuses on interpreting data and generating insights. Both roles often require similar technical skills but serve different functions within data teams.

What are the most commonly searched types of Data Quality Analyst jobs in Virginia?

The most popular types of Data Quality Analyst jobs in Virginia are:

Remote Data Quality Analyst jobs near you
Infographic showing various Remote Data Quality Analyst job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $78,283 per year, or $37.6 per hour.

Data Architect III (Remote)

Indotronix International Corporation

Richmond, VA • On-site, Remote

Full-time

Posted 7 days ago

Job description

Data Architect III (Remote) - Data Engineer (AWS): Operational Support & Enhancement
About the Role
Join a dynamic team as a Data Architect III, focused on hands-on engineering to support and enhance an established AWS-based enterprise data platform. Work remotely with a collaborative team of experienced data engineers, delivering reliable HR, Finance, and Procurement data to business users across the organization. This position is ideal for data engineers who thrive in operational support, troubleshooting, and continuous improvement of data pipelines and products.
Responsibilities
- Provide end-to-end operational support for AWS-based data pipelines and products (S3, AWS Glue, Starburst)
- Monitor pipeline performance, respond to incidents, and execute root cause analysis for data issues
- Troubleshoot across data, Python code, and SQL queries to resolve ingestion, transformation, and publication failures
- Recommend, design, and implement robust data quality checks and validation logic
- Enhance and optimize existing AWS Glue jobs and S3 data flows for performance and maintainability
- Support business data consumption via Tableau, APIs, and direct SQL interfaces
- Collaborate with HR, Finance, and Procurement stakeholders to resolve data discrepancies and understand reporting requirements
- Maintain clear documentation for pipelines, transformations, troubleshooting, and operational procedures
- Contribute to infrastructure improvements, including Terraform-based enhancements where applicable
- Adhere to engineering best practices, participate in code reviews, and collaborate using Git and GitLab
- Work within an Agile team environment, balancing operational support with ongoing enhancements
Required Skills and Experience
- 5+ years hands-on data engineering experience
- 5+ years working with AWS data tools (S3, AWS Glue)
- Advanced SQL expertise (read, debug, optimize complex queries)
- Strong Python programming for data processing and automation
- Experience with PostgreSQL or similar relational databases
- Proven data troubleshooting skills (data, Python code, SQL queries)
- ETL/ELT pipeline development and support for structured data
- Data quality validation and implementation
- Git and GitLab version control and collaboration
- Bachelor's degree in a related field or equivalent practical experience
Preferred Skills
- Familiarity with Starburst or similar federated SQL engines
- Experience with Workday or Ariba data structures
- Exposure to Tableau or comparable BI/reporting tools
- Experience with Terraform for infrastructure enhancements
- IT-related certifications
Benefits
- Long-term project with potential for full-time conversion
- 100% remote work for optimal flexibility
- Opportunity to work with advanced AWS technologies and enterprise-scale data
- Collaborative, supportive team environment
- Exposure to cross-functional business domains (HR, Finance, Procurement)
- Competitive compensation
How to Apply
If you are a proactive Data Engineer passionate about data pipeline reliability and operational excellence, apply now to join our remote team. Qualified candidates will be contacted regarding next steps.
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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

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