HNTB Environmental Planning Intern - Summer 2026
North Charleston, SC·167 interview reviews·Hard difficulty
Environmental Planning Intern - Summer 2026 Interview Reviews
167Applied online and heard back in about a week. The technical interview was 45 minutes with two coding problems. Focus on time complexity and edge cases. The behavioral portion was brief but important.
“Design TinyURL - Design a URL shortening service like bit.ly”
The process was pretty straightforward. It started with an online assessment, followed by a phone screen, and concluded with a final interview round that had two LeetCode medium difficulty problems.
“Product of Array Except Self - Return an array where each element is the product of all other elements”
Had a recruiter screen first, then a technical round focused on system design and coding. The interviewer was very professional and walked through the problem step by step. Good overall experience.
“Tell me about a time when you had to work with a difficult team member”
Had a recruiter screen first, then a technical round focused on system design and coding. The interviewer was very professional and walked through the problem step by step. Good overall experience.
“Design Web Crawler - Design a distributed web crawling system”
About This Role
Frequently Asked Questions
How hard is it to get hired as a Environmental Planning Intern - Summer 2026 at HNTB?
The interview difficulty is rated 3.8/5 by candidates. 55% report a positive experience. Focus on Python, Machine Learning, Statistics to improve your chances.
How long does the HNTB Environmental Planning Intern - Summer 2026 hiring process take?
The process typically takes 2–6 weeks from application to final decision, depending on the hiring cycle and team availability.
What is the interview process like?
Most candidates go through a recruiter screen, followed by technical coding rounds, and a final interview loop. 47% of candidates applied online.
What questions are asked in a HNTB Environmental Planning Intern - Summer 2026 interview?
Common topics include data structures & algorithms (arrays, trees, graphs), system design, and behavioral questions using the STAR method. Practice with our AI mock interviewer to prepare.
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