Calix Software Engineering Intern - Data Engineer
Remote in USARemote in Canada·31 interview reviews·Hard difficulty
Software Engineering Intern - Data Engineer Interview Reviews
31Straightforward — just 2 medium leetcode-tagged problems in 45 minutes. Very fast paced though so be aware of time. A few follow-up questions for the interviewer at the end. No behavioral questions.
“Valid Parentheses - Determine if the input string has valid bracket pairs”
Online assessment was difficult, but the final round technical was just 2 leetcode questions. Studying tagged questions and general leetcode helps a lot. Interviewer was friendly and wanted me to succeed.
“Two Sum - Given an array of integers and a target, return indices of the two numbers that add up to target”
Just one round with 2 LC hards in 45 min. It wasn't too bad at all — if you've done a lot of LC you're gonna be fine. Make sure to check off your approach with the interviewer before you begin implementing.
“How do you handle tight deadlines and pressure?”
Just one round with 2 LC hards in 45 min. It wasn't too bad at all — if you've done a lot of LC you're gonna be fine. Make sure to check off your approach with the interviewer before you begin implementing.
“Design Web Crawler - Design a distributed web crawling system”
About This Role
Frequently Asked Questions
How hard is it to get hired as a Software Engineering Intern - Data Engineer at Calix?
The interview difficulty is rated 3.6/5 by candidates. 62% report a positive experience. Focus on Python, Machine Learning, Statistics to improve your chances.
How long does the Calix Software Engineering Intern - Data Engineer 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. 46% of candidates applied online.
What questions are asked in a Calix Software Engineering Intern - Data Engineer 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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