Seamless.AI Data Engineering & Analytics Intern
United States·28 interview reviews·Medium difficulty
Data Engineering & Analytics Intern Interview Reviews
28The 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.
“Merge Two Sorted Lists - Merge two sorted linked lists into one sorted list”
Applied 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.
“Longest Substring Without Repeating Characters - Find the length of the longest substring without repeating characters”
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.
“Tell me about a time when you had to work with a difficult team member”
Straightforward — 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.
“Two Sum - Given an array of integers and a target, return indices of the two numbers that add up to target”
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.
“LeetCode medium — Valid Sudoku / Binary Tree Level Order Traversal”
About This Role
Frequently Asked Questions
How hard is it to get hired as a Data Engineering & Analytics Intern at Seamless.AI?
The interview difficulty is rated 3.3/5 by candidates. 68% report a positive experience. Focus on Python, SQL, Statistics to improve your chances.
How long does the Seamless.AI Data Engineering & Analytics Intern 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. 60% of candidates applied online.
What questions are asked in a Seamless.AI Data Engineering & Analytics Intern 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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