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Cyber Data Specialist

Cyber Data Specialist

CompanyPeraton
LocationChantilly, VA, USA
Salary$86000 – $138000
TypeFull-Time
DegreesBachelor’s, Master’s
Experience LevelSenior

Requirements

  • 5 years of experience with a BS Degree in Computer Science, Information Systems, Engineering, Science, Business Administration, or a related technology field; or 3 years of relevant experience with an MS Degree; 5 years of additional experience performing lifecycle data management work may be substituted in lieu of a degree, for a total of 10 years of relevant experience without a degree.
  • Experience working in the intelligence community, with a proven track record in lifecycle data management or a similar field.
  • Strong verbal and written communication abilities, with the capacity to engage effectively with colleagues of varying technical expertise.
  • Must have an active TS/SCI with relevant polygraph.

Responsibilities

  • Serve as a technical resource and support the team in managing the full lifecycle of digital media data—from receipt and triage to preparation and transmission to media exploitation tools and repositories.
  • Use a variety of tools and software to process and manage media with different filesystems and operating systems, ensuring seamless data transfer and analysis.
  • Follow both automated and manual technical processes to ensure every byte of information is captured and exploited for use in downstream tools.
  • Collaborate closely with team members, bringing innovation to improve manual processes and streamline workflows.
  • If you have the drive and aptitude, opportunities to cross-train with the digital feeds and digital transformation teams are available.

Preferred Qualifications

  • Experience with scripting languages such as Python or PowerShell to automate and improve processes.
  • Strong working knowledge of Windows and Linux operating systems.
  • Familiarity with FTK (Forensic Toolkit) or similar media exploitation tools.
  • Proven ability to identify and implement solutions that improve existing manual processes.