Expedia Data Engineer Interview Questions (2026)
Prepare for your technical rounds at Expedia with 30+ reported questions across SQL, Apache Spark, Python, and System Design. Compare typical candidate answers against FAANG 9/10 benchmarks, and test your own solutions with instant AI feedback.
Interview Topic Weightage at Expedia
Based on verified interview loopsUnlocked FAANG-Calibrated Answer Rubric (Top 3 Tested Questions)
- •Structured delivery following Problem Formulation -> Execution Plan -> Failure Recovery
- •Concrete parameters: partition keys, join strategies, memory limits, and I/O costs
- •Explicit trade-off evaluation (e.g. storage cost vs query latency, exactly-once overhead)
Complete Expedia Question Vault (27 Questions)
Showing 15 of 27How do you manage tight project delivery timelines in a team environment?
Situation: We had 6 weeks to deliver a new data mart for a product launch; initial estimate was 10 weeks. Task: Deliver without burning out the team or cutting corners on quality. Action: I ran a scope negotiation: defined mandatory vs. nice-to-have with the PM. We dropped 2 non-critical dimensions. I broke work into 2-week milestones with clear ownership. I used burndown charts and flagged slippage in daily standups. I protected focus time—reduced meetings by 40%....
How do you work under tight deadlines and high pressure?
Situation: Revenue pipeline failed 4 hours before a board presentation. Task: Restore data under pressure. Action: I followed the runbook; triaged root cause (schema change). I implemented fix, delegated comms, ran backfill. We restored in 2.5 hours. Post-incident we implemented schema validation....
Why did you leave your last company in just 4 months?
My departure after just four months was a difficult but necessary decision driven by a significant role mismatch that became clear shortly after joining. While I valued the opportunity, the day to day…
Calculate the average session duration per user for the Expedia website.
**SQL**: SELECT user_id, AVG(duration) AS avg_session_duration FROM (SELECT user_id, session_id, MAX(ts) - MIN(ts) AS duration FROM events GROUP BY user_id, session_id) t GROUP BY user_id. **Logic**: Inner query computes per-session duration; outer averages per user....
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.
**Approach**: Time-based join—for each ticket_date, get max rate_timestamp <= ticket_date. CROSS APPLY / LATERAL with ORDER BY rate_timestamp DESC LIMIT 1. Spark: asof join (merge_asof in Pandas); or join with condition + window for latest....
How do you manage failed ideas?
**Situation**: Ideas fail; how you respond reflects maturity. **Action**: (1) Postmortem—learn, no blame; (2) Salvage—partial value? Reuse? (3) Share—document; (4) Pivot—adjust from feedback; (5) Move on. Define success upfront; treat as experiment....
Share experiences of quickly adapting to new technologies and tools in evolving project requirements.
STAR: SITUATION—Project shifted batch→streaming. TASK—Learn Kafka/Flink, deliver PoC. ACTION—Two weeks: courses, local experiments, pair with expert; delivered PoC that went production. Another: Led dbt migration; templates, trained team. RESULT—PoC in production; dbt adopted org-wide....
Share good and bad experiences with past employers.
Approach this question with professionalism and a growth mindset, framing both positive and challenging experiences as opportunities for learning and contribution. This demonstrates self awareness,…
What are your expectations from the next job role?
I'm looking for a role where I can apply my data engineering expertise to deliver tangible impact at scale, while continuously growing my skills within a collaborative and innovative team.…
Design a solution to generate unique device names from a list of IoT devices.
**Section 1 — The Context (The 'Why')** The primary challenge for this design in Python/Coding is balancing scale, cost, and reliability. At scale, naive approaches fail: single points of failure cause cascades, schema evolution breaks consumers, and over-provisioning explodes cost. Failure modes include silent data loss from non-idempotent writes, cascading job failures from tight coupling, and operational burden from manual intervention....
Extended the solution to determine the nth largest element in an array.
The most efficient methods to find the nth largest element in an array are Quickselect (average O(n) time) and using a min heap (O(n log k) time, where k is n). A full sort (O(n log n)) is also an…
Given the Infix, Prefix, or Postfix notation of an expression, write the code to compute the final result.
The final result of an expression given in Infix, Prefix, or Postfix notation can be computed using stack based algorithms, with Infix requiring an intermediate conversion step. This problem tests…
Implement an algorithm to find the longest ordered subsequence of vowels in a given string.
**Why This Pattern Matters:** Subsequence DP is foundational for sequence alignment, log parsing (ordered event sequences), and NLP token sequences. **Architectural Logic:** We track the longest valid subsequence ending at each vowel (a→e→i→o→u). State: dp[v] = max length ending at vowel v. Transition: when we see vowel v, we can extend from prev vowel. O(n) time, O(1) space—five vowel states. **Scalability:** Linear scan, no extra structures—suitable for streaming....
Solve for the Kth smallest element in a Binary Search Tree.
**Why BST Kth Smallest:** In-order traversal yields sorted order. kth smallest = kth node in in-order. Used in top-K from sorted structure, percentile queries. **Approach:** (1) In-order with counter: O(h + k) time. (2) Augmented BST: each node stores subtree size—O(h) search by comparing k with left size. **Scalability:** BST in-memory; for disk-backed (B-tree), similar logic....
Write code to calculate the power of a given number in minimum time complexity.
**Binary Exponentiation:** x^n in O(log n). x^8 = ((x^2)^2)^2. While n: if n odd, result*=x; x*=x; n//=2. def power(x, n): if n < 0: return 1/power(x, -n) res = 1 while n: if n & 1: res *= x x *= x n >>= 1 return res
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Frequently Asked Questions About Expedia Data Engineering Interviews
What topics are asked most frequently in Expedia data engineering interviews?▼
Technical interviews at Expedia heavily emphasize System Design/Architecture and General/Other, accounting for the majority of technical questions in our repository of 30+ verified interview questions. Candidates should expect hands-on rounds testing query optimization, data skew mitigation, and end-to-end pipeline architecture.
How deep do Expedia interviewers go on Apache Spark, SQL, and system design?▼
Interviewers at Expedia probe far beyond syntax. They expect candidates to discuss Spark DAG execution plans, shuffle partitions, join selection strategies (broadcast hash vs shuffle sort-merge), and handling un-even data distributions. In system design, emphasis is placed on fault tolerance, backfilling, and SLA preservation under high data volume.
What is the typical technical interview loop format for Data Engineers at Expedia?▼
The Expedia interview process typically consists of: 1) Initial Recruiter Screen (30 mins), 2) Technical Phone Screen focusing on live SQL and data manipulation (45-60 mins), followed by a 4-5 round Virtual Onsite covering SQL & Coding, Distributed Pipeline Architecture, Data Modeling, and a Behavioral/Bar-Raiser session.
How can I practice Expedia data engineer interview questions with AI feedback?▼
You can practice directly on DataEngPrep.tech. Select any question from the Expedia library, submit your answer, and receive an instant FAANG-calibrated evaluation scored across accuracy, technical depth, communication, and completeness, complete with an interview-ready model answer rewrite.