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Blue Sky Innovators

Data Network Engineer, TS/SCI and Poly

Chantilly, VA$150k–$250kmidAdded 1 month ago

About this role

Seeking an experienced Data Network Engineer to manage data architecture and system performance for classified intelligence operations in Chantilly, VA. Requires current TS/SCI clearance with Poly, 9+ years of technical experience, and expertise in enterprise data systems and terrestrial communications.

What you'll do

  • Maintain data architecture and flow design for deployed systems
  • Serve as primary liaison between external data users and internal teams
  • Evaluate data architecture designs and conduct feasibility and performance analyses
  • Coordinate with system developers on enhancements, fixes, and long-term maintenance
  • Collaborate with system operators to ensure mission continuity
  • Support deployment and operations management

What they're looking for

  • Enterprise data systems and repositories
  • Data analysis and formatting
  • Terrestrial communications and data circuits
  • Network design and performance analysis
  • SIGINT system design
  • System integration and troubleshooting
  • Networking certifications (Network+, CCNP preferred)
  • AWS exposure (preferred)

Benefits

  • Salary: $150,000 - $250,000 annually
  • Medical, dental, and vision insurance
  • 401(k) contributions
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Blue Sky Innovators

Blue Sky Innovators provides systems engineering and software development services supporting U.S. Department of Defense, intelligence, and space programs. The company is hiring Systems Engineers, mission engineers, and software developers with security clearances to design solutions, develop satellite communications systems, and execute complex defense and intelligence initiatives.

View all jobs at Blue Sky Innovators

Likely interview questions

  • Walk us through your experience designing and maintaining data architecture for enterprise systems, particularly in a SIGINT or classified environment.
  • Describe a time you acted as a liaison between technical teams and external data users. How did you handle conflicting requirements or data delivery challenges?