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Data Backup Jobs in Virginia (NOW HIRING)

ECHELON SERVICES LLC

Database Engineer

Reston, VA

Develop and implement data backup and recovery strategies as well as data loading strategies for efficient ingestion of data. * Monitor and tune databases performance, ensuring optimal query ...

Leidos

Database Administrator - Mid

Reston, VA

Design, develop, and manage databases thatoptimizequeries, ensure data backup and security compliance. * Document data models and schemas,monitorperformance, and produce compliance policies.

SEACORP

Network Administrator

Norfolk, VA

Maintain data backup and system security operations (e.g. user authorization, firewalls) * Manage or oversee installations, hardening, upgrades, and configuration of hardware and software Assess ...

Leidos

Database Administrator - Mid

Reston, VA · On-site

Design, develop, and manage databases that optimize queries, ensure data backup and security compliance. * Document data models and schemas, monitor performance, and produce compliance policies.

GRB

Be Seen First

IT Specialist

Alexandria, VA · On-site

$25 - $35/hr

System maintenance - Perform system maintenance, including data backup and system security operations. Aid in license and configuration management tasks * Documentation - Update technical ...

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How much do data backup jobs pay per hour?

As of May 30, 2026, the average hourly pay for data backup in Virginia is $32.73, according to ZipRecruiter salary data. Most workers in this role earn between $16.36 and $57.74 per hour, depending on experience, location, and employer.

What is a Data Backup job?

A Data Backup job involves creating copies of digital data to protect against loss, corruption, or accidental deletion. Professionals in this role manage backup systems, schedule regular backups, and ensure data can be restored when needed. They work with various storage solutions, including cloud and on-premises systems, to maintain data integrity and availability. Additionally, they may develop backup policies and troubleshoot issues to ensure business continuity.

What are the key skills and qualifications needed to thrive in the Data Backup position, and why are they important?

To succeed in a Data Backup role, you need strong knowledge of data management practices, backup and disaster recovery procedures, and a familiarity with computer network systems—often gained through an IT-related degree or experience. Experience with backup software such as Veeam, Acronis, or Commvault, and certifications like CompTIA Security+ or Microsoft Certified: Azure Fundamentals, are commonly valued. Attention to detail, problem-solving, and clear documentation skills help ensure accuracy and smooth communication within IT teams. These abilities are critical for reliably safeguarding organizational data and responding quickly to potential data loss events.

What are some common challenges faced in a Data Backup role and how can they be addressed?

Professionals in Data Backup roles often encounter challenges such as managing large volumes of data, ensuring backup systems run without errors, and identifying potential security vulnerabilities. Addressing these issues typically involves regular monitoring of backup processes, staying current with the latest backup technologies, and collaborating closely with IT and cybersecurity teams. Maintaining thorough documentation and developing strong troubleshooting skills are also key to efficiently resolving backup failures or restoring data quickly during emergencies. Proactively keeping up with industry best practices helps minimize risks and keeps systems running smoothly. Working in this role offers opportunities to build expertise in data protection while supporting a crucial part of an organization's IT infrastructure.
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Data Backup jobs near you
Database Engineer

Database Engineer

ECHELON SERVICES LLC

Reston, VA

Full-time

Posted 3 days ago

Job description

Position Title: Database Engineer
Clearance Requirements: TS/SCI with CI Polygraph. Investigation or CV date within 5 years

Duties and Responsibilities:

Database Administration and Management:

  • Design, implement, and maintain PostgreSQLwith Pgvector, Neo4J, and ElasticSearch object-relational, graph, and NoSQL database environments, including schema design, data modeling, performance tuning, and query optimization.
  • Develop and implement data backup and recovery strategies as well as data loading strategies for efficient ingestion of data.
  • Monitor and tune databases performance, ensuring optimal query execution and resource utilization.
  • Develop and implement best practices for database security, including access control and data encryption.
  • Design and implement security policies, user access controls, and encryption methods to protect sensitive data
  • Troubleshoot and resolve database issues, including performance bottlenecks and data inconsistencies
  • Perform routine database administration tasks, including installation, configuration, patching, upgrades, and migrations
  • Work closely with the engineering team and other stakeholders to support their analytical needs and provide guidance on database use cases.
  • Participate in scrum meetings, architecture reviews, and code reviews
  • Design, develop, and maintain Extract, Transport, and Load (ETL) pipelines to extract, transform, and load data from various sources.

Performance Tuning and Optimization:

  • Conduct performance analysis, tuning, and query optimization for all databases
  • Analyze execution plans and database resource usage, and make recommendations for improvements
  • Configure and tune database parameters to achieve optimal performance, especially for large datasets

Data Modeling and Development Support:

  • Collaborate with application developers and data architects to design and implement new database schemas for both relational and graph data models
  • Write and optimize complex SQL queries for PostgreSQL and SPARQL/Cypher queries
  • Support data migration, Extract, Transform, Load (ETL), and Extract, Load, Transform (ELT) processes to facilitate data movement between systems
  • Ensure data quality and integrity throughout the ETL process.
  • Develop and maintain documentation for data pipelines and database schemas.

Infrastructure and Automation:

  • Manage on-premise and Cloud database deployments (i.e., Docker, Kubernetes), and in the cloud (i.e., AWS, Azure)
  • Develop and implement automation scripts using languages like Python or Bash, and tools like Terraform or Ansible to manage database infrastructure as code

Maintain database documentation, including design specifications, configurations, and procedures

Position Title: Database Engineer
Clearance Requirements: TS/SCI with CI Polygraph. Investigation or CV date within 5 years

Duties and Responsibilities:

Database Administration and Management:

  • Design, implement, and maintain PostgreSQLwith Pgvector, Neo4J, and ElasticSearch object-relational, graph, and NoSQL database environments, including schema design, data modeling, performance tuning, and query optimization.
  • Develop and implement data backup and recovery strategies as well as data loading strategies for efficient ingestion of data.
  • Monitor and tune databases performance, ensuring optimal query execution and resource utilization.
  • Develop and implement best practices for database security, including access control and data encryption.
  • Design and implement security policies, user access controls, and encryption methods to protect sensitive data
  • Troubleshoot and resolve database issues, including performance bottlenecks and data inconsistencies
  • Perform routine database administration tasks, including installation, configuration, patching, upgrades, and migrations
  • Work closely with the engineering team and other stakeholders to support their analytical needs and provide guidance on database use cases.
  • Participate in scrum meetings, architecture reviews, and code reviews
  • Design, develop, and maintain Extract, Transport, and Load (ETL) pipelines to extract, transform, and load data from various sources.

Performance Tuning and Optimization:

  • Conduct performance analysis, tuning, and query optimization for all databases
  • Analyze execution plans and database resource usage, and make recommendations for improvements
  • Configure and tune database parameters to achieve optimal performance, especially for large datasets

Data Modeling and Development Support:

  • Collaborate with application developers and data architects to design and implement new database schemas for both relational and graph data models
  • Write and optimize complex SQL queries for PostgreSQL and SPARQL/Cypher queries
  • Support data migration, Extract, Transform, Load (ETL), and Extract, Load, Transform (ELT) processes to facilitate data movement between systems
  • Ensure data quality and integrity throughout the ETL process.
  • Develop and maintain documentation for data pipelines and database schemas.

Infrastructure and Automation:

  • Manage on-premise and Cloud database deployments (i.e., Docker, Kubernetes), and in the cloud (i.e., AWS, Azure)
  • Develop and implement automation scripts using languages like Python or Bash, and tools like Terraform or Ansible to manage database infrastructure as code
  • Maintain database documentation, including design specifications, configurations, and procedures

Echelon Services, LLC is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. 

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