1

Big Query Jobs in Virginia (NOW HIRING)

Possessing significant experience tuning Solr/Elastic for performance and query optimization 6. Minimum of 3 years of experience in a big data environment using tools such as Hadoop, Pyspark, Spark ...

Possessing significant experience tuning Solr/Elastic for performance and query optimization 6. Minimum of 3 years of experience in a big data environment using tools such as Hadoop, Pyspark, Spark ...

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

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

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

next page

Showing results 1-20

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:
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.
4417 ETL Engineer with Security Clearance

4417 ETL Engineer with Security Clearance

Procession Systems

Chantilly, VA • On-site

Other

Posted 27 days ago


Job description

OVERVIEW: We are seeking a highly skilled Senior-level ETL Engineer to join our team delivering engineering tasks to advanced analytic applications across classified environments. You will develop sophisticated data pipelines and ETL processes for desktop and web-based analytic software, facilitate the bulk analysis of relational information, and enable applications that deliver data from diverse data sources. GENERAL DUTIES: Design and implement complex data pipelines and ETL processes to support cyber investigative capabilities across multi-classification domains Architect and develop ETL workflows for highly sensitive data in classified environments Support IC Data Services requirements by integrating various intelligence data sources and systems Develop and maintain data analytics solutions for desktop and web-based visual analytic applications Establish applications that produce manageable, actionable intelligence from streams of structured and semi-structured data Design strategies for enterprise database systems and set standards for operations, programming, and security Construct and optimize large relational databases across multi-enclave environments (Unclassified, Secret, and Top Secret) Tune performance of large-scale data workflows, ensuring cost efficiency, low latency, and high availability Design and manage Elasticsearch/Opensearch clusters for fast search, indexing, and retrieval of large-scale datasets Integrate new systems with existing warehouse structures and refine system performance and functionality Implement CI/CD pipelines for data systems, automate monitoring/alerting, and enforce infrastructure-as-code practices Provide technical leadership and mentorship to other team members Participate in Program Increments (PIs) and Agile Release Train (ART) activities REQUIRED QUALIFICATIONS: Bachelor's degree in Computer Science, Data Science, Engineering, or related field Minimum of 10 years of experience in data engineering or related field Experience with Agile methodologies Understanding of data warehousing and business intelligence concept Data analysis, query, aggregation, and visualization techniques ETL processes and data transformation SQL and database technologies (MySQL, PostgreSQL, Microsoft SQL) Software development fundamentals Data management and big data technologies Version control systems (Git) Python for data processing, automation and ETL workflow orchestration Elasticsearch or Opensearch (design, scaling, query optimization, cluster management) Data pipeline technologies (Apache Nifi, Cribl) Cross-domain ETL solutions for secure data transfer between classification levels Cloud platforms (AWS GovCloud, SC2S, C2S) May require occasional travel for Program Increment planning sessions May require flexible scheduling to support critical operations DESIRED QUALIFICATIONS: Containerization and orchestration technologies (Docker, Kubernetes) GraphQL: schema design, API development, and query optimization DevSecOps practices and tools in classified environments Experience with RabbitMQ and Redis Knowledge of IC specific data formats, schemas and transfer protocols Prior work integrating intelligence data across multiple enclaves Cloud certification CLEARANCE: Active Top Secret clearance minimum


Procession Systems logo

About Procession Systems

Sourced by ZipRecruiter

Procession Systems, based in Reston, Virginia, United States, is an industry leader operating in the Information Technology Services sector. Established to address complex business and technology challenges, the company delivers innovative tech solutions for government entities, primarily focusing on systems integration and software development. Procession Systems takes pride in their commitment to quality, responsiveness, and results, geared towards improving public sector services and saving taxpayer dollars.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Reston, VA, US

Year founded

2016

Social media