Interview questions
Preparing for a data engineering interview at Expedia? This page contains 30 real interview questions sourced from verified Expedia interview experiences. Questions are sorted by frequency — the ones asked most often appear first.
Expedia data engineering interviews typically focus on System Design/Architecture, General/Other, and Python/Coding. The interview bar skews toward harder problems (14 hard vs. 12 easy), suggesting emphasis on depth and system-level thinking.
Use the difficulty filters above to focus your preparation. For each question, attempt your own answer first, then compare with our expert solution. You can also practice these questions in our AI Mock Interview Coach for real-time feedback.
How do you handle disagreements within a team?
Explain the trade-offs between batch and real-time data processing. Provide examples of when each is appropriate.
How do you manage tight project delivery timelines in a team environment?
How do you work under tight deadlines and high pressure?
Why did you leave your last company in just 4 months?
Calculate the average session duration per user for the Expedia website.
Given exchange rates for USD to INR with timestamps: Find the ticket price in rupees for various dates. Use the latest exchange rate based on the timestamp for each date.
How do you manage failed ideas?
Share experiences of quickly adapting to new technologies and tools in evolving project requirements.
Share good and bad experiences with past employers.
What are your expectations from the next job role?
Design a solution to generate unique device names from a list of IoT devices.
Extended the solution to determine the nth largest element in an array.
Given the Infix, Prefix, or Postfix notation of an expression, write the code to compute the final result.
Implement an algorithm to find the longest ordered subsequence of vowels in a given string.
Solve for the Kth smallest element in a Binary Search Tree.
Write code to calculate the power of a given number in minimum time complexity.
Consolidate hotel reviews and create a dashboard. Design a data model for the reviews.
Explain offset management, Sync vs. Async commits, partition assignment strategies and Consumer groups, and handling backpressure in Kafka streams.
Replace each node's value with the next greater value in the list. Addressed edge cases where no greater element exists.
Type or paste your answer to any of these questions and our AI Coach scores it, highlights gaps, and rewrites it at FAANG quality. Free to try.