Senior Database Engineer – Defense & Security Analytics

Guidehouse; Washington (District of Columbia); Hybrid; USD 85,000 - 141,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

401(k) Retirement Plan

Transit and Parking Commuter Benefits

Tuition Reimbursement

Job summary

Guidehouse is seeking a seasoned database professional to support the Defense & Security AI & Data team in the DC metro area. The role focuses on data analytics, data engineering, and BAU database administration for national security clients, with hybrid on-site work.

The candidate should have a bachelor’s degree, 8+ years of enterprise database experience, and strong SQL/ETL skills, with a path toward professional development in analytics and AI tools.

Qualifications

• Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse.
• Bachelor’s degree
• EIGHT (8) or more years developing large, highly complex, enterprise database systems.
• Experience using SQL for data querying and ETL functions, with understanding of data engineering concepts.
• Ability to support on-site and hybrid projects in the DC metro area

Responsibilities

• Belong to a collaborative team dedicated to Advanced Analytics and Intelligent Automation.
• Focus on client services, while also supporting business development, internal firm initiatives, and ongoing professional development in data science and analytics.
• Provide database engineering and database administration services to National Security clients.
• Continue career development in analytics software, methods, and consulting.

Job description

Guidehouse is seeking a seasoned database professional to support the Defense & Security AI & Data team in the DC metro area. The role focuses on data analytics, data engineering, and BAU database administration for national security clients, with hybrid on-site work.

The candidate should have a bachelor’s degree, 8+ years of enterprise database experience, and strong SQL/ETL skills, with a path toward professional development in analytics and AI tools.