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Query Specialist Jobs (NOW HIRING)

GCP Big Query Admin Location: Ashburn, VA / Irving, TX (Hybrid - 3 days a week in office) Job Type ... specialist. This is an immediate requirement, and candidate needs to relocate to Irving, TX / ...

IS Technical Specialist Organization Name : The Huntington National Bank Department Description The ... Develop, design, and architect Enterprise Query Hub application using cloud and JAVA API ...

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Query Specialist information

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$45.5K

$115.1K

$137K

How much do query specialist jobs pay per year?

As of Sep 11, 2026, the average yearly pay for query specialist in the United States is $115,091.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What cities are hiring for Query Specialist jobs?

Cities with the most Query Specialist job openings:

What states have the most Query Specialist jobs?

States with the most job openings for Query Specialist jobs include:

What are popular job titles related to Query Specialist jobs?

For Query Specialist jobs, the most frequently searched job titles are:

Infographic showing various Query Specialist job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $115,091 per year, or $55.3 per hour.

GCP Big Query Admin

Ashburn, VA • On-site

Saransh Inc
IT Services • 51 - 200 employees

Contractor

Re-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