Cyber Data Analytics Engineer

Sabre Systems LLC•Patuxent River, MD

13h

About The Position

The NAVAIR Digital Department, Command Data Officer Team is seeking a Cyber Data Analytics Engineer to work with our diverse operational and customer stakeholders to identify, help acquire, process, and when necessary, visualize and analyze our diverse data sources. The successful candidate will work across diverse technical and operational customers on a number of mission-critical, high-visibility projects to contribute foundational data assets for our analytics team.

Requirements

Bachelor’s degree in an information technology related field is required, Master’s degree is preferred.
Five (5) years of related experience is required
Thorough working knowledge of at least two analytical programming languages (R, Python, Scala, SQL)
Working knowledge of code repositories & version control (Git)
Basic working knowledge at least one BI/visualization tool (Qlik, Tableau, Power BI)
Technical and business domain-focused customer experience
A Security + certification is required within 90 days of higher
An active DoD Top Secret Clearance or higher is required
Selected candidate must pass a background investigation
Must be a U.S. Citizen

Nice To Haves

Experience working with Cybersecurity / RMF
Knowledge of advanced analytics principals (statistical modeling, machine learning, AI)
Experience building/maintaining/automating dashboards for users
Military background a plus

Responsibilities

Work with data engineers & developers to acquire, process, and format data both at source and post-extraction to create analytical products
Work hand-in-hand with data analysts & data scientists to ready diverse data sources for analytics work
Liaise with business and operational stakeholders and customers to understand business needs, metrics, and goals and objectives. Translate and map user requirements to underlying data sources and develop plans for how those data sources can be extracted
Work with data scientists, analysts, architects, and business stakeholders to develop thorough documentation for data sources and pipelines (e.g. data dictionaries, flow models, etc)