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Data Integrity Jobs in Virginia (NOW HIRING)

The position plays a key role in supporting the organization's transition to a data-centric organization by promoting consistent definitions, improving data literacy, and ensuring data integrity ...

The position plays a key role in supporting the organization's transition to a data-centric organization by promoting consistent definitions, improving data literacy, and ensuring data integrity ...

The position plays a key role in supporting the organization's transition to a data-centric organization by promoting consistent definitions, improving data literacy, and ensuring data integrity ...

The position plays a key role in supporting the organization's transition to a data-centric organization by promoting consistent definitions, improving data literacy, and ensuring data integrity ...

Ensure data integrity and efficient data retrieval. * Implement long-term security protections for stored data. * Operate independently across multiple work areas. * Lead major technical assignments ...

Ensure data integrity and efficient data retrieval. * Implement long-term security protections for stored data. * Operate independently across multiple work areas. * Lead major technical assignments ...

Data Entry Specialist

Dulles, VA · On-site

$17.25 - $23/hr

This role ensures the integrity, accuracy, and confidentiality of sensitive data while supporting compliance with HIPAA, privacy regulations, and established operational procedures. The ideal ...

This role ensures the integrity, accuracy, and confidentiality of sensitive data while supporting compliance with HIPAA, privacy regulations, and established operational procedures. The ideal ...

Data Entry Specialist

Sterling, VA · On-site

$16.75 - $22.50/hr

This role ensures the integrity, accuracy, and confidentiality of sensitive data while supporting compliance with HIPAA, privacy regulations, and established operational procedures. The ideal ...

Data Entry Specialist

Sterling, VA · On-site

$16.75 - $22.50/hr

This role ensures the integrity, accuracy, and confidentiality of sensitive data while supporting compliance with HIPAA, privacy regulations, and established operational procedures. The ideal ...

This role ensures the integrity, accuracy, and confidentiality of sensitive data while supporting compliance with HIPAA, privacy regulations, and established operational procedures. The ideal ...

Responsibilities : • Manage enterprise data sets and metadata documentation. • Support data governance initiatives. • Ensure data quality and data integrity across platforms. • Other duties ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

BLN24 is seeking a Data Engineer to support the design and development of a data integrity and quality monitoring application. This role focuses on supporting data pipelines, validation frameworks ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

BLN24 is seeking a Data Engineer to support the design and development of a data integrity and quality monitoring application. This role focuses on supporting data pipelines, validation frameworks ...

Data Architect

Quantico, VA

$68.75 - $88.50/hr

Define data quality standards and business rules to support data integrity and usability * Document and communicate the relationship between business objectives and IT data solutions * Develop ...

Showing results 21-40

Data Integrity information

See Virginia salary details

$10

$33

$77

How much do data integrity jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data integrity in Virginia is $33.93, according to ZipRecruiter salary data. Most workers in this role earn between $18.23 and $43.48 per hour, depending on experience, location, and employer.

What is the difference between Data Integrity vs Data Analyst?

AspectData IntegrityData Analyst
Required CredentialsKnowledge of data management, quality assurance certificationsDegree in statistics, data science, or related field
Work EnvironmentData management teams, IT departmentsBusiness units, analytics teams
Industry UsageEnsuring data accuracy and consistencyAnalyzing data to generate insights

Data Integrity focuses on maintaining the accuracy, consistency, and reliability of data across systems, ensuring data quality. Data Analysts interpret and analyze data to support decision-making. While Data Integrity ensures data is trustworthy, Data Analysts utilize that data to derive meaningful insights. Both roles are essential in data-driven organizations but serve different functions within the data lifecycle.

What are some common challenges faced by data integrity professionals, and how are they typically addressed within organizations?

Data integrity professionals often encounter challenges such as data inconsistencies, incomplete records, and ensuring compliance with data governance standards. These issues are typically addressed through regular audits, implementation of automated validation tools, and close collaboration with IT and data management teams. Maintaining clear documentation and establishing standardized procedures are also crucial for minimizing errors and maintaining high-quality data. Ongoing training and communication help teams stay aligned with evolving data policies and regulatory requirements.

What are the key skills and qualifications needed to thrive in a data integrity role, and why are they important?

To excel in a Data Integrity role, you need a solid understanding of data management principles, attention to detail, and often a degree in information technology, computer science, or a related field. Familiarity with database systems (such as SQL), data validation tools, and compliance frameworks like GDPR or HIPAA is typically required. Strong analytical thinking, problem-solving abilities, and effective communication are essential soft skills for ensuring data accuracy across teams. These skills are vital for maintaining trustworthy, compliant, and high-quality data that supports sound business decisions.

What skills do you need to be a data integrity analyst?

A data integrity analyst needs strong analytical skills, attention to detail, and proficiency in data management tools such as SQL and Excel. Knowledge of data governance, quality assurance processes, and basic understanding of database systems are essential for ensuring data accuracy and consistency.

What is data integrity and why is it important?

Data integrity refers to the accuracy, consistency, and reliability of data throughout its lifecycle. It ensures that information is not altered or tampered with during storage, transmission, or retrieval. Maintaining data integrity is critical for making informed business decisions, complying with regulatory requirements, and protecting sensitive information from corruption or unauthorized access.
What are the most commonly searched types of Data Integrity jobs in Virginia? The most popular types of Data Integrity jobs in Virginia are:
What job categories do people searching Data Integrity jobs in Virginia look for? The top searched job categories for Data Integrity jobs in Virginia are:
What cities in Virginia are hiring for Data Integrity jobs? Cities in Virginia with the most Data Integrity job openings:
Infographic showing various Data Integrity job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $70,570 per year, or $33.9 per hour.

Metadata Analyst

System One

Merrifield, VA • On-site

Contractor

Re-posted 18 hours ago


Job description

Job Title: Metadata Analyst Location: Vienna, VA Work schedule: hybrid, 3 days onsite Pay Rate: Open to Both W2 and established 1099's Position Type: Multiyear Contract We are looking for candidates with 5-10 years of Data Governance or Metadata Management experience, hands-on experience with a metadata platform such as Alation, experience maintaining business glossaries, data catalogs, data dictionaries, and lineage documentation, and a proven ability to work with both business and technical stakeholders to improve enterprise data governance and data quality. The Metadata Management Analyst is a Data Governance professional responsible for improving data quality, transparency, consistency, and governance across the Lending organization. The role serves as a bridge between business and technical teams, ensuring that critical data assets are properly defined, cataloged, documented, governed, and traceable throughout their lifecycle. This position supports enterprise metadata management by maintaining business glossaries, data dictionaries, data catalogs, and data lineage documentation. The analyst works closely with Business Data Owners, Data Stewards, and Technology teams to establish common business definitions, improve data literacy, and ensure data assets align with enterprise governance standards. The ideal candidate combines data governance expertise, metadata management experience, business analysis skills, documentation capabilities, stakeholder management, and strong communication skills. Basic Description The Metadata Management Analyst supports the Lending Data Governance function in advancing enterprise data governance capabilities and improving data quality, transparency, and risk management. This role operates within Lending Strategy’s Data Governance team and is responsible for enabling the adoption and management of metadata practices across the business. The analyst partners with Business Data Owners, Data Stewards, and technical stakeholders to ensure metadata is captured, maintained, and aligned with enterprise standards. The position plays a key role in supporting the organization's transition to a data-centric organization by promoting consistent definitions, improving data literacy, and ensuring data integrity across business processes. Responsibilities • Support Business Data Owners and Data Stewards in identifying and cataloging data assets • Engage business stakeholders to ensure metadata is captured, tagged, and maintained accurately • Maintain metadata artifacts, identify gaps or inconsistencies, and escalate issues as needed • Collaborate with Business and Technical Data Stewards to define clear and consistent business terminology • Gather and document business and technical requirements related to metadata and data lineage • Own and support metadata governance processes for both new initiatives and enhancement efforts • Curate and enrich business glossary content to ensure consistent enterprise-wide definitions • Partner with ISD and technical teams to support metadata tools through implementation and production • Support creation and maintenance of data dictionaries and data catalog entries • Assist in planning, testing, and implementing improvements to metadata tools, including bug fixes and enhancements • Drive improvements in metadata classification, evaluation, and data movement processes • Support the documentation and visualization of data lineage across systems and processes • Enable visibility of data flows between producers and consumers to support decision-making • Maintain metadata-related controls to ensure data is consumable, prioritized appropriately, and aligned to systems of record • Support communication and publication of data glossary updates across the business Qualifications and Soft Skill Requirements Required Qualifications • Experience in data governance, metadata management, or data management within a financial services or enterprise environment • Demonstrated experience working with business and technical stakeholders to define and document data assets • Experience with data catalogs, data dictionaries, and metadata tools • Understanding of data lineage concepts and data lifecycle management • Familiarity with governance frameworks and enterprise data standards Soft Skill Requirements • Strong communication skills, ability to translate technical concepts into business-friendly language • Collaboration across Business Data Owners, Business Data Stewards, and Technical Data Stewards • Strong analytical and problem-solving skills for identifying metadata gaps and inconsistencies • Attention to detail and commitment to data accuracy and integrity • Adaptability in a changing governance and technology environment • Ability to drive alignment across multiple stakeholder groups Desired Skills • Experience supporting enterprise data governance initiatives or EDG programs • Familiarity with metadata tooling platforms (e.g., Alation or similar tools) • Experience supporting data lineage visualization and documentation • Knowledge of data classification frameworks and taxonomy design • Experience working with ISD or technology teams on data-related tooling implementations • Exposure to financial services data, lending data domains, or regulatory data requirements • Experience contributing to business glossary development and enterprise data standards Ref: #851-Rockville-S1