Technology Intern - Summer 2027
Posted Aug 31, 2026 · We last checked this listing on Oct 6, 2026
Likely interview questions for this role
Written from this job description, not a generic list. Each one notes what the interviewer is really checking.
About your past
Which part of the internship interests you most, software development, data analytics, asset management, resiliency or geospatial, and why?
What they are checking: Whether they have a real direction and can explain it, which helps match them to useful work.
Tell me about a project where you used code or data to solve a real problem.
What they are checking: Whether they have applied technical skills beyond coursework exercises.
Tell me about a time you worked on a team where people had different skill levels. How did you contribute?
What they are checking: Whether they collaborate well, which the posting names as a key trait.
What is something in technology you taught yourself recently, and how did you go about it?
What they are checking: Whether they are curious and self-driven, as the posting asks interns to be.
What would you do
You're stuck on a task and your mentor is busy. What do you do?
What they are checking: Whether they try reasonable steps on their own before asking, without staying stuck for days.
How would you explain a technical finding to an engineer who doesn't code?
What they are checking: Whether they can communicate across disciplines in a firm made mostly of engineers and planners.
About the work
How would you use GIS or location data to help a transportation agency decide which bridges to inspect first?
What they are checking: Whether they can connect geospatial and data skills to practical transportation decisions.
What does asset management mean for a road or transit agency, and where does technology help?
What they are checking: Whether they understand the domain well enough to see why the team's tools matter.
You're given a messy spreadsheet of field data with missing values and inconsistent names. How do you clean it up?
What they are checking: Whether they have practical data-cleaning habits, since most real data is messy.
What does resiliency mean for transportation infrastructure, and how could data help plan for it?
What they are checking: Whether they can think about climate and risk data applied to real infrastructure.
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Practice this out loudThe full job description
As published by HNTB.