Database Engineer - TS/SCI

DUNHILL PROFESSIONAL SEARCH
Arlington, VA, United States
12 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Compensation
$97,300.0 - $132,456.0
Working hours
Regular working hours

Tech stack

Amazon Web Services Microsoft Azure Backup Devices Cluster Analysis Databases Data Infrastructure Data Integrity Extract Transform Load (ETL) Database Design Database Security Disaster Recovery Identity and Access Management
+13 more
SQL Azure NoSQL Oracle Databases Performance Tuning Query Optimization SQL Databases System Availability Database Performance Indexer Amazon Relational Database Service Integration Frameworks Database Monitoring Data Pipelines

Job description

Help design, secure, and optimize enterprise database environments as our next Database Engineer!, The Database Engineer will design, implement, and optimize database systems that support enterprise-scale data environments. This role focuses on performance, reliability, security, and availability while partnering with engineering teams to integrate databases into data pipelines and applications.

This position supports database administration, backup and recovery, high availability, automation, and capacity planning. The role also helps establish standards and documentation that strengthen resilience and operational readiness across the data environment., * Design logical and physical database structures that support performance, scalability, and data integrity.

  • Tune database performance through indexing, query optimization, and resource configuration.
  • Implement backup, recovery, and disaster recovery strategies to protect data availability.
  • Manage database security controls, including access management, encryption, and auditing.
  • Deploy and maintain high availability solutions such as clustering, replication, and failover configurations.
  • Automate routine database administration and monitoring tasks through scripts and tools.
  • Integrate databases with ETL pipelines, applications, and data processing frameworks.
  • Conduct capacity planning and evaluate emerging database technologies for operational use.

Requirements

  • Bachelor’s degree or equivalent experience.
  • At least 4 years of database engineering or database administration experience in complex environments.
  • Demonstrated experience with database design, performance tuning, backup and recovery, and security.
  • Experience supporting database integration with data pipelines or application environments.
  • Experience with database monitoring, troubleshooting, and lifecycle support.
  • Must have an active Security+ certification (or otherwise meet DoD 8140 requirements)
  • Active Top Secret security clearance.
  • U.S. citizenship.

Preferred Qualifications

  • Experience with cloud-managed databases such as AWS RDS or Azure SQL.
  • Working knowledge of both SQL and NoSQL technologies.
  • Certification such as Oracle DBA, Microsoft Azure Database, or AWS Database Specialty.
  • Experience supporting federal or government data environments.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.clearancejobs.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

2:37 min

Comparing traditional SQL tables versus NoSQL non-tabular databases

Stanimira Vlaeva · JS Congress

2:36 min

Analyzing limitations with PostgreSQL bitmap heap scans

Dharin Shah Dharin Shah · WWC 2025

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

3:16 min

Terminology differences between relational and NoSQL databases

Tim Faulkes · LIVE

1:20 min

Identifying multi-disciplinary talent for developer experience engineering roles

Hazal Mestci +1 · Coffee With Developers

Videos

See all

Related articles

See all