Data Engineer
: Job Details :


Data Engineer

Delaware Nation Industries

Location: Aberdeen Proving Ground,MD, USA

Date: 2024-11-14T07:23:06Z

Job Description:

Overview:

DNI Emerging Technologies is seeking a qualified Data Engineer candidate to support the Army Systems Engineering and Program Management Services (Army SEPM).

The Program Executive Office, Command, Control and Communications Tactical (PEO C3T) is responsible for all facets of developing, fielding and sustaining Command, Control, Communications, Cyber, Computers, Intelligence, Surveillance, and Reconnaissance (C5ISR) Systems, and for the acquisition, development, and integration of secure tactical communications for the digitized battlefield.

This is a full time/permanent position with excellent benefits and outstanding compensation including full medical, dental, 401k, vacation, and holiday pay.

Responsibilities:
  • Build the infrastructure required for transformation and loading of data from a wide variety of data sources using big data data pipelines, architectures and data sets.
  • Build analytic tools utilizing the data pipeline to provide actionable insights for operational efficiency.
  • Work as a liaison supporting internal and external stakeholders to design, build and resolve data related technical issues and support data infrastructure needs.
  • Work with relational databases and possess strong analytic skills related to working with unstructured datasets and integrate into the tactical environment.
  • Must be able to lift and carry up to 25 pounds with or without accommodation.
  • Other relevant duties as assigned.
Qualifications:
  • Bachelors Degree in one of the following: Computer Science, Information Systems, Engineering or a related scientific or technical discipline.
  • Ten (10) years of experience in data engineering supporting DOD programs.
  • Active Secret Security Clearance.

AAP/EEO Statement:

DNI complies with all federal, state, and local laws designed to protect employees and job applicants from discrimination based on race, religion, color, sex, parental status, national origin, age, disability, genetic information, military service, or other non-merit-based factors.

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