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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 · On-site

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

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 ...

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 12, 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 jobs in the US pay 300,000 a year?

Big Query professionals, such as data engineers, data architects, and senior analytics managers, can earn $300,000 or more annually, especially with extensive experience, advanced certifications, and expertise in cloud data platforms. High-level roles in technology, finance, and consulting that involve managing large datasets and complex analytics often reach or exceed this salary level.

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 job makes $10,000 a month without a degree?

High-paying jobs that can reach $10,000 a month without a degree often include roles such as sales managers, real estate brokers, or skilled trades like electricians and plumbers, especially with experience and certifications. Additionally, some tech roles like data analysts or cloud specialists can achieve this income through certifications and experience, often working in freelance or consulting capacities.

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.

How hard is it to get hired at Google?

Getting hired as a BigQuery specialist at Google typically requires strong technical skills in data analysis, SQL, and cloud platforms, along with relevant experience and certifications. The hiring process is competitive and involves multiple interview rounds assessing technical knowledge, problem-solving, and cultural fit.

What is a BigQuery job?

A BigQuery job refers to a task or operation executed within Google BigQuery, such as running a query, loading data, or exporting data. As a BigQuery professional, understanding how to manage and optimize these jobs is essential for efficient data analysis and processing, often requiring knowledge of SQL and cloud environment management.
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

GCP Big Query Admin

Saransh Inc

Ashburn, VA • On-site

Contractor

Posted 11 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