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Data Admin Jobs in Virginia (NOW HIRING)

Please don't share GCP Engineers / Data Engineers - Need Admin candidates We are looking for a BQ DBA with Operations support specialist. This is an immediate requirement, and candidate needs to ...

... Admin or Architect, NetApp Certified Technology Associate, NetApp Certified Data Administrator, ONTAP, Veritas Certified Specialist (VCS) NetBackup, NetBackup Appliances, VCS NetBackup 7.7 or 8.0 ...

As the Data Warehousing Administrator, you will manage large scale storage systems, ensuring data integrity, efficient retrieval, and long-term security protections. ESSENTIAL JOB FUNCTIONS

NTT DATA is a trusted global innovator of business and technology services, currently seeking a Tableau Admin with AWS. The role involves managing and optimizing the Tableau Server environment on AWS ...

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Data Admin information

See Virginia salary details

$17

$59

$103

How much do data admin jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for data admin in Virginia is $59.63, according to ZipRecruiter salary data. Most workers in this role earn between $47.64 and $72.21 per hour, depending on experience, location, and employer.

What are Data Admins?

Data Admins, short for Data Administrators, are professionals responsible for managing, organizing, and maintaining data systems within an organization. Their duties typically include ensuring data accuracy, security, and accessibility, as well as supporting database management and troubleshooting issues. Data Admins often work closely with IT teams to implement data policies, backup solutions, and user permissions. They play a key role in safeguarding sensitive information and ensuring compliance with data regulations. Strong technical, analytical, and organizational skills are essential for this role.

What does a data administrator do?

A data administrator is responsible for managing and maintaining an organization’s data systems, ensuring data accuracy, security, and accessibility. They often work with database management tools, perform data backups, and implement data policies to support business operations.

What are the key skills and qualifications needed to thrive as a Data Admin, and why are they important?

To thrive as a Data Admin, you need strong analytical skills, attention to detail, and a background in database management, often supported by a degree in information technology or a related field. Familiarity with database systems like SQL, Microsoft Access, and data management tools, as well as certifications such as Microsoft Certified: Azure Data Fundamentals, are typically required. Excellent organizational skills, problem-solving abilities, and effective communication help Data Admins excel in maintaining data integrity and supporting team needs. These skills are crucial for ensuring accurate, secure, and accessible data that supports organizational decision-making and operations.

Is DBA still in demand?

Database Administrators (DBAs) remain in demand due to ongoing data growth and the need for data management, security, and performance optimization. Skills in SQL, cloud platforms, and automation tools enhance job prospects, with many organizations requiring DBAs for maintaining critical systems.

What are some common challenges Data Admins face when maintaining data integrity across multiple systems?

Data Admins often encounter challenges such as ensuring data consistency across different databases, managing data synchronization, and identifying discrepancies caused by manual data entry or system integration issues. Regular audits, implementing data validation protocols, and collaborating closely with IT and other departments are essential strategies for overcoming these challenges. Staying up-to-date with data management best practices and using reliable data integration tools can also help maintain high data integrity.

What is the highest paying job in data?

The highest paying roles in data typically include Data Science Directors, Chief Data Officers, and senior Data Architects, with salaries often exceeding $150,000 annually. These positions require advanced skills in data analysis, machine learning, and leadership, and often demand extensive experience and relevant certifications.

What is the difference between Data Admin vs Data Analyst?

AspectData AdminData Analyst
Primary RoleManages and maintains data systems, ensures data integrity, and handles data storageAnalyzes data to identify trends, generate reports, and support decision-making
Required SkillsDatabase management, data security, IT skillsData analysis, statistical skills, visualization tools
Work EnvironmentIT departments, data management teamsBusiness units, analytics teams
Common CertificationsDatabase certifications (e.g., Microsoft SQL Server, Oracle)Data analysis certifications (e.g., Microsoft Excel, Tableau)

While Data Admin focuses on managing and maintaining data systems, Data Analysts interpret data to support business decisions. Both roles require technical skills, but their core responsibilities differ significantly.

Infographic showing various Data Admin job openings in Virginia as of June 2026, with employment types broken down into 24% Full Time, 64% Part Time, and 12% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $124,037 per year, or $59.6 per hour.

GCP Big Query Admin

Saransh Inc

Ashburn, VA • On-site

Contractor

Posted 12 days ago


Job description

Role: GCP Big Query Admin
Location: Ashburn, VA / Irving, TX (Hybrid - 3 days a week in office)
Job Type: Contract
 
No of Positions: 2 (1 in each location)
 
Note: Please don't share GCP Engineers / Data Engineers - Need Admin candidates
We are looking for a BQ DBA with Operations support specialist.
This is an immediate requirement, and candidate needs to relocate to Irving, TX / Ashburn, VA.
 
Job Description:
• Administer and support Google Big Query environments, including datasets, tables, and access controls
• Monitor and optimize query performance, storage, and slot utilization
• Manage Big Query costs through capacity planning, quotas, and usage analysis
• Provide L2/L3 production support for Big Query incidents and data issues
• Troubleshoot query failures, performance degradation, and quota limitations
• Implement security best practices using IAM and dataset-level permissions
• Support batch and streaming data ingestion pipelines into Big Query
• Ensure data availability, reliability, and SLA adherence
• Collaborate with data engineering and analytics teams on platform best practices