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Big Query Jobs in Virginia (NOW HIRING)

KDA Consulting Inc

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Implement indexing, partitioning, and query optimization strategies * Monitor and troubleshoot data ... big data technologies Strong analytical and problem-solving skills

KDA Consulting Inc

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Implement indexing, partitioning, and query optimization strategies * Monitor and troubleshoot data ... big data technologies Strong analytical and problem-solving skills

KDA Consulting Inc

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Implement indexing, partitioning, and query optimization strategies * Monitor and troubleshoot data ... big data technologies Strong analytical and problem-solving skills

KDA Consulting Inc

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Implement indexing, partitioning, and query optimization strategies * Monitor and troubleshoot data ... big data technologies Strong analytical and problem-solving skills

VTG

Data Engineer

Chantilly, VA

$118K - $142K/yr

Optimize data storage, query performance, and cost efficiency in cloud environments * Monitor and ... Experience with big data processing frameworks (e.g., Spark, Hadoop) * Hands-on experience building ...

VTG

Data Engineer

Herndon, VA

$117K - $141K/yr

Optimize data storage, query performance, and cost efficiency in cloud environments * Monitor and ... Experience with big data processing frameworks (e.g., Spark, Hadoop) * Hands-on experience building ...

VTG

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

Optimize data storage, query performance, and cost efficiency in cloud environments * Monitor and ... Experience with big data processing frameworks (e.g., Spark, Hadoop) * Hands-on experience building ...

VTG

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Optimize data storage, query performance, and cost efficiency in cloud environments * Monitor and ... Experience with big data processing frameworks (e.g., Spark, Hadoop) * Hands-on experience building ...

VTG

Data Engineer with Security Clearance

Chantilly, VA

$118K - $142K/yr

... query performance, and cost efficiency in cloud environments Monitor and troubleshoot data pipeline ... with big data processing frameworks (e.g., Spark, Hadoop) Hands-on experience building ETL/ELT ...

Qmulos

Splunk Engineer

Arlington, VA · On-site

C., we need highly motivated technologists who think of big ideas, work well with others, and build ... query languages, object-oriented development * Willingness to aggressively pursue Splunk and ...

Qmulos

Senior Splunk Engineer

Arlington, VA

$131K - $180K/yr

C., we need highly motivated technologists who think of big ideas, work well with others, and build ... query languages, object-oriented development * Willingness to aggressively pursue Splunk and ...

Qmulos

Splunk Engineer

Arlington, VA

C., we need highly motivated technologists who think of big ideas, work well with others, and build ... query languages, object-oriented development * Willingness to aggressively pursue Splunk and ...

Qmulos

Senior Splunk Engineer

Arlington, VA · On-site

$131K - $180K/yr

C., we need highly motivated technologists who think of big ideas, work well with others, and build ... query languages, object-oriented development * Willingness to aggressively pursue Splunk and ...

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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
Custom Software Engineering Lead

Custom Software Engineering Lead

Accenture Federal Services

Chantilly, VA • On-site

Other

Posted 28 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

45th of 426 rated business services

Job description

Job Description:

  • Technical Leadership & Architecture: Lead the design and development of robust, scalable, and secure backend systems and event-driven APIs using FastAPI. Define the technical direction and system architecture, balancing short-term deliverables with long-term scalability and maintainability.
  • Hands-on Development & Code Quality: Serve as a primary contributor to the codebase, leading by example through hands-on development. Conduct thorough code and technical design reviews to ensure high standards for quality, performance, and security are met.
  • Deploy AI Models: Collaborate with data scientists and ML engineers to integrate, containerize, and deploy AI/ML models (e.g., NLP, recommendation engines, generative AI) into production environments.
  • Containerization & Orchestration: Engineer containerized applications for deployment on cloud platforms using Kubernetes.
  • Asynchronous Processing & Distributed Systems: Design for scale using asynchronous processing and task queues(such as Celery, RabbitMQ, Kafka)to handle long-running or unreliable tasks independently from the main API.
  • Big Data Search & Storage: Manage big data processing workflows and the storage of that data in object storage, indexing tools, and distributed query engines (PySpark, OpenSearch, Hive Metastore, Trino).
  • Team Management & Mentorship: Mentor and guide a team of engineers, fostering a culture of continuous learning, collaboration, and technical excellence.
  • Operational Excellence: Implement best practices for testing, automation, monitoring, and deployment, ensuring systems are observable and resilient in production environments.

Here's what you'll need:

  • 7+ years of professional experience in one or more of the following areas:
    • Proficient in Python, with knowledge of the libraries and frameworks that make up the Python ecosystem.
    • Familiarity with UI/UX frameworks used with Python applications.
    • Experience designing and implementing RESTful APIs using tools like FastAPI.
    • Strong working knowledge of Docker and Kubernetes for building and deploying scalable, cloud-native applications.
    • Familiarity with distributed data orchestration and processing pipelines, using tools like Spark and Airflow.
    • Experience configuring, deploying, and tuning distributed search technologies, such as: Trino, OpenSearch, and Elasticsearch.
    • Experience with relational databases like PostgreSQL.
    • Experience with CI/CD pipelines, cloud platforms (AWS, GCP, Azure), anddeploying applications within the Linux ecosystem.

Bonus points if you have:

  • Experience with asynchronous task processing tools like Celery and RabbitMQ.

Security clearance:

  • Active TS/SCI with Poly security clearance is required.

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