Database Engineer - AI & Analytics for National Security

Guidehouse Digital, LLC; 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

Paid holidays

Parental Leave

Tuition Reimbursement

Employee Assistance Program

Job summary

Guidehouse is seeking a Database Administration professional to join the Defense & Security AI & Data team in the DC metro area. You will help clients maximize data value, implement end-to-end data analytics, and support data engineering, BI, and AI initiatives.

The role requires a strong background in enterprise databases, SQL, ETL, and data visualization, with the ability to obtain Public Trust clearance. On-site and hybrid projects in the DC area are supported.

Qualifications

• Bachelor’s degree and 8+ years developing enterprise database systems.
• Experience with SQL for data querying and ETL; strong data engineering concepts.
• Ability to obtain and maintain a Public Trust clearance.

Responsibilities

• Help clients maximize data value and automate business processes on a Defense & Security AI & Data team.
• Implement data analytics workflows from querying to dashboarding and BI visualization.
• Support data science activities including ML/AI initiatives and predictive analytics.
• Provide database engineering and database administration services to National Security clients.
• Contribute to business development and ongoing professional development.

Skills

SQL

Python

Power BI

Tableau

Data visualization

Data engineering

Machine learning

C++

Java

PowerShell

XML

ETL

APIs

Education

Bachelor’s degree

Tools

Python

SQL

PowerShell

Tableau

Power BI

Azure/OpenAI

Job description

Guidehouse is seeking a Database Administration professional to join the Defense & Security AI & Data team in the DC metro area. You will help clients maximize data value, implement end-to-end data analytics, and support data engineering, BI, and AI initiatives.

The role requires a strong background in enterprise databases, SQL, ETL, and data visualization, with the ability to obtain Public Trust clearance. On-site and hybrid projects in the DC area are supported.