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Big Query Jobs in Virginia (NOW HIRING)

Saransh Inc

GCP Big Query Admin

Ashburn, VA · On-site

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 ...

S2SSoft

Big Query DBA

Ashburn, VA

Big Query DBA Location : Ashburn, VA (onsite) Contract * 8+ years as a Data Warehouse Engineer or DBA. * 3+ years of hands on BigQuery administration in production. * Strong SQL performance tuning ...

Stem Xpert

Big Data Tester

Herndon, VA

Experience in SQL (Standard Query Language). Experience in testing clustered/distributed systems ... Understanding of Performance Test activities & Load Simulation is a big plus. Additional ...

Cymertek

Big Data Engineer

Chantilly, VA · On-site

$57.50 - $76.25/hr

Big Data Engineer LOCATIONChantilly, VA 20151 CLEARANCETS/SCI Full Poly (Please note this position ... Familiarity with data query tools (e.g., SQL) * Ability to handle structured and unstructured data

Cymertek

Big Data Engineer

Tysons, VA · On-site

$56 - $74/hr

Big Data Engineer LOCATIONTysons, VA 22182 CLEARANCETS/SCI Full Poly (Please note this position ... Familiarity with data query tools (e.g., SQL) * Ability to handle structured and unstructured data

Cymertek

Big Data Engineer

Reston, VA · On-site

$58 - $76.75/hr

Big Data Engineer LOCATIONReston, VA 20190 CLEARANCETS/SCI Full Poly (Please note this position ... Familiarity with data query tools (e.g., SQL) * Ability to handle structured and unstructured data

SAIC

MongoDB Database Administrator

Ashburn, VA · On-site

Experience with Big Query is a plus. * Master's degree (or higher) in computer science or related field is a plus. Customer Requirements * Clearance - Ability to obtain and hold a public trust ...

SAIC

MongoDB Database Administrator

Ashburn, VA · Hybrid

Experience with Big Query is a plus. * Master's degree (or higher) in computer science or related field is a plus. Customer Requirements * Clearance - Ability to obtain and hold a public trust ...

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Big Query information

See Virginia salary details

$42.6K

$45.6K

$48.1K

How much do big query jobs pay per year?

As of Jun 9, 2026, the average yearly pay for big query in Virginia is $45,601.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,600.00 and $45,600.00 per year, depending on experience, location, and employer.

What are typical daily responsibilities for someone in a BigQuery Engineer position?

A BigQuery Engineer typically focuses on designing, developing, and maintaining cloud-based data warehouses, ensuring that data pipelines are efficient and reliable. Daily tasks often include writing and optimizing SQL queries, managing ETL (Extract, Transform, Load) processes, and collaborating with data analysts and stakeholders to deliver data solutions. The role also involves troubleshooting performance issues, maintaining data quality, and implementing best practices for security and cost optimization. Teamwork and regular communication with both technical and non-technical colleagues are key to ensuring data solutions align with business goals.

What is a BigQuery job?

A BigQuery job is a unit of work that BigQuery executes on your behalf, such as running a query, loading data, exporting data, or copying a table. Jobs are asynchronous and can be monitored for completion using job IDs. Each job runs in the context of a specific project and may consume processing resources based on the complexity of the task.

What are the key skills and qualifications needed to thrive in the Big Query position, and why are they important?

To excel in a BigQuery Engineer role, you need a strong background in SQL, data modeling, and cloud-based data warehousing, often supported by a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP), especially BigQuery, along with certifications like Professional Data Engineer, is highly valuable. Attention to detail, problem-solving ability, and effective communication are important soft skills for this position. These competencies enable efficient handling of large datasets, ensure data accuracy, and foster smooth collaboration with analytics and engineering teams.

What are popular job titles related to Big Query jobs in Virginia? For Big Query jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Big Query jobs in Virginia look for? The top searched job categories for Big Query jobs in Virginia are:
Big Query jobs near you
Infographic showing various Big Query job openings in Virginia as of May 2026, with employment types broken down into 3% Locum Tenens, 12% As Needed, 75% Full Time, 3% Part Time, 3% Temporary, and 4% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $45,601 per year, or $21.9 per hour.

GCP Big Query Admin

Saransh Inc

Ashburn, VA • On-site

Contractor

Posted 8 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