Database Engineer - Guidehouse

OpenTalent; Arlington (VA); Hybrid; USD 110,000 - 170,000; Full time

Job summary

Guidehouse is seeking a seasoned database/analytics professional to deliver database engineering and administration for National Security clients in the DC metro area. The role focuses on data querying, ETL, data governance, and collaboration with security teams.

The position supports on-site and hybrid engagements, with an emphasis on developing analytics capabilities, data architectures, and scalable data pipelines. A US security-friendly profile is required.

Qualifications

• Must have 8+ years building large, enterprise database systems.
• Experience with SQL for data querying and ETL.
• Strong data management and governance practices.
• Ability to work on-site and in hybrid projects in the DC metro area.

Responsibilities

• Provide database engineering and database administration for National Security clients.
• Support analytics and data science work from data wrangling to BI and ML.
• Collaborate with client teams on data architecture and governance.
• Develop documentation including data dictionaries and metadata.

Skills

SQL

Python

ETL/ELT

Data governance

Cloud

Serverless

Data analytics

Education

Bachelor’s degree

Job description

Job Family :

Travel Required :

Clearance Required :

What You Will Do :

Our consultants on the Defense & Security AI & Data team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and wrangling to data engineering, to data visualization, dashboarding, and business intelligence (BI), to predictive analytics, machine learning (ML), and artificial intelligence (AI). Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve operational effectiveness.

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.

What You Will Need :

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. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred

Bachelor’s degree

EIGHT (8) or more years developing large, highly complex, enterprise database systems.

Experience using SQL for data querying and extract – transform – load (ETL) functions, with understanding of data engineering concepts.

Ability to support on-site and hybrid projects in the DC metro area

What Would Be Nice To Have :

Active DOJ Suitability or Active Secret Clearance

Ability to handle and manipulate unstructured data.

Familiarity with cloud / serverless options for data storage.

Ability to uphold strong data management and data governance.

Ability to develop data dictionaries and other supporting documentation.

Ability to think strategically and drive innovation.

Strong communication/presentation skills and ability to explain technical topics to non-technical audiences.

Experience working with Python, SQL, and other modern scripting languages used in analytics.

Ability to transform cybersecurity/GRC datasets (e.g., vulnerability and asset posture, compliance/scoring data) into reliable features and decision-ready insights.

Familiarity with Federal cybersecurity and compliance frameworks: NIST SP 800-53, NIST RMF, OSCAL, FedRAMP.

Experience ingesting and analyzing signals from Tenable, Qualys, CrowdStrike, BigFix; CDM/SIEM integrations.

Experience with large-scale ETL/ELT pipelines and API-first integrations; experience with micro-ETL/event-driven patterns.