Database Engineer – Journeyman

ASM Research•Washington, DC

7d•Onsite

About The Position

The Database Engineer - Journeyman 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.

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 meet DoD 8140 requirements.
Active Secret clearance.
U.S. citizenship.

Nice To Haves

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.

Responsibilities

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.