Cyber Data Analytics Engineer – DoD TS Clearance

Sabre Systems; Maryland; On-site; USD 100,000 - 139,000; Full time

Job summary

Sabre Systems is seeking a Cyber Data Analytics Engineer to collaborate with data engineers, analysts, and stakeholders to acquire, process, and prepare data for analytics and visualization. The role focuses on creating foundational data assets for our analytics team and supporting mission-critical projects.

The ideal candidate has a strong background in analytics programming languages, data pipelines, and data visualization, along with security clearance requirements typical for DoD contracts.

Qualifications

• Bachelor's degree in an information technology related field is required; Master's preferred.
• Five (5) years of related experience is required.
• Proficiency in at least two analytical programming languages (R, Python, Scala, SQL).
• Working knowledge of code repositories & version control (Git).
• Basic working knowledge of at least one BI/visualization tool (Qlik, Tableau, Power BI).
• Security+ certification required within 90 days of hire; active DoD Top Secret Clearance or higher; U.S. Citizenship.

Responsibilities

• Collaborate with data engineers and developers to acquire, process, and format data for analytical products.
• Partner with data analysts and data scientists to prepare data sources for analytics work.
• Interface with stakeholders to understand needs, metrics, and objectives; map requirements to data sources and extraction plans.
• Develop documentation for data sources and pipelines (data dictionaries, flow models).

Skills

R

Python

SQL

Education

Bachelor's degree in information technology or related field

Tools

Git

Qlik

Tableau

Power BI

Job description

Sabre Systems is seeking a Cyber Data Analytics Engineer to collaborate with data engineers, analysts, and stakeholders to acquire, process, and prepare data for analytics and visualization. The role focuses on creating foundational data assets for our analytics team and supporting mission-critical projects.

The ideal candidate has a strong background in analytics programming languages, data pipelines, and data visualization, along with security clearance requirements typical for DoD contracts.