Data Engineer

V2XHerndon, VA

About The Position

Working across the globe, V2X builds smart solutions designed to integrate physical and digital infrastructure from base to battlefield. We bring 120 years of successful mission support to improve security, streamline logistics, and enhance readiness. Aligned around a shared purpose, our $4.5B company and 16,000 people work alongside our clients, here and abroad, to tackle their most complex challenges with integrity, respect, responsibility, and professionalism.

Requirements

  • Minimum of 11 years' experience.
  • Experience integrating diverse data streams
  • Experience with data transfer tools (Ex: NiFi, Cribl, etc)
  • Establishes data standards and acts as custodian of IT and service delivery data sets and streams
  • Experience in analyzing complex networks and systems
  • Experience in analyzing log data from various network components and operating systems
  • Knowledge of complex environments involving shared networks and multiple security enclaves
  • Systems Engineer with Data Engineer background
  • Ability to manage and troubleshoot data feeds
  • Splunk familiarization
  • Python
  • Active TS/SCI with Polygraph clearance

Nice To Haves

  • Security Development and Operations (SecDevOps)
  • Hands on Splunk Experience and Certifications
  • Scripting tools to include Python, ShellScript, or Ansible
  • Cloud security controls and implementation
  • Public, private and hybrid Cloud experience (AWS, Microsoft Azure, etc.)
  • AWS Certified Security Specialty

Responsibilities

  • Designing data models, building data warehouses and data lakes, automating data pipelines and working with datasets of all sizes.
  • Optimizing overall data/information flow by reducing redundancy and enabling accessibility within security boundaries.
  • Applying data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources.
  • Creating data collection frameworks for structured and unstructured data.
  • Creating solutions and cyber and operational analytic tools for consumers that assist them in building and optimizing downstream products inclusive of constructing dataset procedures that can help with data mining, modeling, and production.
  • Using and developing standards, tools, processes and governance for capturing, modeling, storing, and delivering data for the enterprise.
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