Database Engineer

SAIC
3d$130,000 - $135,000

About The Position

Seeking a Database Engineer with strong experience supporting enterprise-scale, cloud-hosted databases, primarily within AWS environments. This role focuses on database administration, performance optimization, data modeling, and operational reliability, ensuring high availability and efficiency for mission-critical systems. Target salary is $130-135k. (Please note this position is funded through March 2026 and most likely will push through June 2026).

Requirements

  • US Citizen and active Secret Clearance.
  • 8570 certification in IAT Level II certification or above (Security+ CE, CASP+ CE, CISSP, etc.)
  • AWS (RDS, EC2-hosted databases).
  • Backup/recovery, configuration, tuning.
  • Query tuning, index management, execution plan analysis.
  • Schema and relational data modeling.
  • Performance metrics, alerting, and health dashboards.
  • Bachelor's and nine (9) or relevant years of experience in lieu of degree.
  • Strong troubleshooting skills for data integrity and performance issues.
  • Ability to quickly diagnose root causes of database incidents.
  • Experience maintaining uptime and system stability in production environments.

Nice To Haves

  • Database Administrator (DBA) transitioning into a cloud-focused engineer role.
  • Backend or platform engineer with deep database tuning experience.
  • Cloud engineer with strong RDS and data performance background.
  • Engineers supporting high-volume or mission-critical systems.
  • Experience with automation or infrastructure-as-code around databases.
  • Exposure to multi-environment (dev/test/prod) database support.
  • Familiarity with enterprise monitoring and alerting platforms.

Responsibilities

  • Manage enterprise databases hosted on AWS RDS and EC2.
  • Perform database performance tuning (query optimization, indexing, configuration).
  • Design and optimize schemas, tables, indexes, and views.
  • Identify and resolve data inconsistencies and database-related issues.
  • Support database reliability, scalability, and operational health.
  • Monitor database performance using metrics and monitoring tools.
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