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Big Query Jobs in Virginia (NOW HIRING)

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 ...

Software Technology Inc

Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

... SQL Query optimization and ETL Data loading Performance Experience as a Data Engineer in Hadoop Platforms on components like HIVE, KAFKA, NiFi, Spark etc is a big plus Minimum 2 years working ...

Convirgence

Software Engineer

Chantilly, VA · On-site

... and query optimization * Minimum of 3 years of experience in a big data environment using tools such as Hadoop, PySpark, Spark, and HBase (prefer at least two of the list) * Minimum of 5 years of ...

New

Marathon TS

Software Engineer (TS/SCI)

Herndon, VA · Hybrid

Designs and develops reusable services that support capabilities such as data discovery and query, analytic visualizations, link-node analysis, AI/Client big data analytics, and object production and ...

Node.Digital

Full Stack Developer

Chantilly, VA

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 ...

Node.Digital

Full Stack Developer

Chantilly, VA · On-site

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 ...

Node.Digital

Full Stack Developer

Chantilly, VA · On-site

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 ...

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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
MongoDB Database Administrator

MongoDB Database Administrator

SAIC

Ashburn, VA • Hybrid

Other

Posted 14 days ago

SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

70th of 203 rated it services

Job description

Job ID: 2610698
Location: Ashburn, VA, US
Date Posted: 2026-03-26
Category: Information Technology
Subcategory: Database Admin
Schedule: Full-Time
Shift: Day Job
Travel: No
Minimum Clearance Required: None
Clearance Level Must Be Able to Obtain: Public Trust
Potential for Remote Work: ORA_HYBRID
Description
SAIC is seeking a highly skilled and experienced senior-level Database Administrator (DBA) to join our team. The ideal candidate will have a strong background in managing and optimizing both Oracle and NoSQL databases. Project teams utilize Oracle RDS and AWS managed databases including Postgres and DocumentDB, and MongoDB, also hosted in AWS. This role requires a thorough understanding of the advantages of NoSQL databases such as the scalability, flexibility, and performance gains and the disadvantages compared to relational databases. The ideal candidate will also have hands-on experience with failover and recovery, backups, migration of on-premises databases to AWS, and proficiency with AWS services. The successful candidate should be passionate about ensuring database performance, availability, and security, and experienced in debugging complex challenges and handling data warehouses.
Job Responsibilities
  • Database Management: Administer, maintain, and implement permissions, policies and procedures for ensuring the secure connectivity and integrity of databases.
  • Performance Tuning: Monitor database performance, implement changes and apply new patches and versions when required to ensure optimal performance. Work closely with the application teams to optimize the application interaction with NoSQL.
  • Failover and Recovery: Design and execute database backup and recovery strategies, including failover planning and testing.
  • Migration and Upgrade: Lead migration projects from on-premises databases to AWS, relational databases to NoSQL, including planning, execution, and validation of database migrations and upgrades.
  • Security and Compliance: Ensure database security measures are in place, including access controls and audit logging. Comply with all applicable data privacy laws and regulations.
  • Data Warehousing: Manage and optimize AWS Redshift instances and other data warehousing solutions for scalable and efficient data storage and analysis.
  • Monitoring: Utilize AWS CloudWatch and other monitoring tools to ensure database health, performance, and to automate scaling and notifications.
  • Troubleshooting and Support: Provide support for complex database issues, including troubleshooting and resolving database integrity issues, performance issues, blocking and deadlocking issues, replication issues, log shipping issues, etc.

Qualifications
Required Skills and Experience
Must have the ability to handle Oracle Prod issues and carry the Oracle Duty Phone on a rotational basis. The candidate must have solid NoSQL (DocumentDB and MongoDB) skills as more and more applications are leveraging NoSQL databases. Solid experience of migrating databases from on-prem to cloud is a must.
  • Bachelor's degree in Computer Science, Information Technology, or related field and at least 10 years of relevant experience.
  • Database Expertise: Proven experience as a DBA with expertise in Oracle and NoSQL databases (MongoDB).
  • AWS Managed Databases: Extensive experience with AWS DocumentDB database services.
  • Failover and Recovery: Solid experience in database failover, recovery procedures, and disaster recovery planning
  • Migration Experience: Demonstrated experience with migrating on-premises databases to AWS
  • Technical Skills: Proficient in MongoDB Query Language (MQL), database design, and data modeling. Familiarity with AWS CLI, SDKs, and CloudWatch.
  • Communication Skills: Excellent verbal and written communication skills.

Desired Skills and Experience
  • Certifications: AWS or relevant database certifications (e.g., Oracle Certified Professional, AWS Associate Architect).
  • Scripting Skills: Experience with scripting languages (e.g., Python, Bash) for automation of database tasks.
  • Monitoring Tools: Deep familiarity with database monitoring tools, especially AWS CloudWatch, for performance monitoring and alerting.
  • Enterprise Database Management: Experience with large enterprise database design, implementation, and optimization, for example, Oracle RDS on Exadata. Experience with Oracle Real Application Clusters (RAC).
  • Experience with DocumentDB or MongoDB.
  • 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 position and favorable suitability based on a CBP Background Investigation
  • Location - Hybrid with on-site (Ashburn, VA) visits 2-3 days per week and if a mission need. *This team utilizes an on-call schedule which may require travel to the datacenter site.

SAIC is a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is Redefining Ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects. SAIC's approximately 15,000 employees are driven by integrity and mission focus to serve customers in the U.S. federal government. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $4.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see .

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