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Big Query Jobs in Virginia (NOW HIRING)

Steampunk

Data Engineer (GCP)

Mclean, VA · On-site

$110K - $160K/yr

Experience in crafting database / data warehouse solutions in the cloud (Preferably GCP Big Query). * Key must have skill sets - SQL, GCP. * Support an Agile software development lifecycle. * You ...

CGI Inc.

Lead Data Engineer

Fairfax, VA · On-site

$117K - $140K/yr

The role requires knowledge of GCP services that include all GCP based services for GCP Dataflow, Cloud Run Functions, AlloyDB, Pub Sub streams, IAC, Big Query and Data Plex. This is an event-driven ...

SAIC

MongoDB Database Administrator

Ashburn, VA · On-site

$160K - $200K/yr

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 · On-site

$160K - $200K/yr

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

$160K - $200K/yr

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 · On-site

$160K - $200K/yr

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 ...

Walmart

Senior Data Engineer

Reston, VA · On-site

$155K - $180K/yr

Hadoop, Hive, Spark, MongoDB, Elasticsearch, GCP Big Query etc.; Building data pipelines using different programming languages like Scala, Python or Java; Working on CI/CD using docker and Jenkins;

VTG

Software Engineer

Chantilly, VA

Possessing significant experience tuning Solr/Elastic for performance and query optimization 2. Minimum of 3 years of experience in a big data environment using tools such as Hadoop, Pyspark, Spark ...

VTG

Software Engineer

Chantilly, VA · On-site

Possessing significant experience tuning Solr/Elastic for performance and query optimization 2. Minimum of 3 years of experience in a big data environment using tools such as Hadoop, Pyspark, Spark ...

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All JobsBig Query JobsBig Query Jobs in Virginia

Big Query information

See Virginia salary details

$42.6K

$45.6K

$48.1K

How much do big query jobs pay per year?

As of Jul 6, 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 June 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $45,601 per year, or $21.9 per hour.
Data Engineer (GCP)

Data Engineer (GCP)

Steampunk

Mclean, VA • On-site

$110K - $160K/yr

Other

Posted 13 days ago

Job description

Overview
We are looking for seasoned Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines. We are looking for more than just a "Data Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving.
Contributions
  • Be active in leading and architecting a variety of data environments with performance and reliability.
  • Assess and understand the ETL jobs, workflows, BI tools, and analytics reports.
  • Address technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products.
  • Experience in crafting database / data warehouse solutions in the cloud (Preferably GCP Big Query).
  • Key must have skill sets - SQL, GCP.
  • Support an Agile software development lifecycle.
  • You will contribute to the growth of our Data Exploitation Practice!

Qualifications
  • Ability to hold a position of public trust with the US government
  • Bachelor's degree and 7+ years of overall work experience
  • 3-5 years industry experience coding commercial software and a passion for solving complex problems
  • 3-5 years direct experience in Data Engineering with experience in tools such as:
    • BigQuery, Looker, Looker Studio, and Google Analytics
    • Relational and NoSQL databases, including Cloud SQL, AlloyDB, Firestore, and Bigtable
    • Data processing and pipeline technologies, including Compute Engine, Dataproc, Dataflow, Cloud Storage, Datastream, and Pub/Sub
    • Elasticsearch/OpenSearch or other enterprise search solutions
    • Object-oriented and scripting languages such as Python, Java, SQL, and Scala
  • Experience designing, building, and maintaining batch and real-time ETL/ELT pipelines and data warehouse solutions
  • Advanced SQL knowledge, including query authoring, optimization, performance tuning, and complex data analysis
  • Experience working with large-scale structured and unstructured datasets, including data transformation, aggregation, processing, reporting, and extracting actionable insights from multiple data sources
  • Experience with data modeling and architecture, including dimensional modeling, star schemas, medallion architecture, and the design of transactional and analytical data systems
  • Understanding of end-to-end data flows, integrations, and dependencies across applications and platforms
  • Experience with message queuing, stream processing, and highly scalable data platforms
  • Experience using Git for source control and version management of data pipelines and data integration solutions
  • Experience working in Agile environments and collaborating with developers, analysts, and data scientists to deliver dashboards, reports, analytics, and machine learning solutions
  • LookML experience is a plus
  • Experience with AI/ML data platforms, Agentic AI concepts, or AI-enabled data solutions is a plus

About steampunk
Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $110,000 to $160,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers - and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.

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