Network Engineering Intern
1/15/2026
The intern will review engineering data and help design a process flow to identify data discrepancies. They will also develop methods to flag bad data and support process improvement efforts.
Working Hours
32 hours/week
Company Size
51-200 employees
Language
English
Visa Sponsorship
No
Description
Intern – Summer 2026 (On-Site, 32 hrs/week)
Program Dates: May 27 – July 30, 2026
Schedule: Monday–Thursday, on-site
Eligibility: Local candidates; rising juniors or seniors
*This is a paid internship
About Us
FiberLight is a leading regional provider of innovative networking solutions. We are committed to delivering high-performance, reliable, diverse, and scalable network infrastructure to our clients.
Overview:
We are seeking an Engineering Intern to support data integrity and process improvement initiatives within our network engineering environment. This internship offers hands-on experience analyzing engineering data, building workflow processes, and helping create a roadmap that ensures accuracy across our systems.
What You’ll Do:
- Review engineering data from system “source of truth” platforms and compare it against documented records
- Help design a process flow that identifies data discrepancies quickly and clearly
- Develop a method to flag “bad data” and outline steps required to correct it
- Create a roadmap for engaging data owners and ensuring information is updated accurately
- Support process improvement efforts that enhance data integrity and operational reliability
- Work closely with engineering team members to understand workflows, gather feedback, and refine processes
What You’ll Learn:
- The importance of data integrity in network and engineering operations
- How engineering teams use data to plan, design, and maintain network assets
- Skills in workflow development, process mapping, and quality assurance
- How to collaborate within a technical team, communicate findings, and contribute to problem-solving
- Professional skills including documentation, organization, and presenting recommendations
Requirements
- Rising junior or senior pursuing a degree in Engineering, Data Analytics, GIS, or a related technical field
- Strong analytical and problem-solving skills
- Interest in process improvement and workflow design
- Detail-oriented with good communication and documentation abilities
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