Top 19
Prep plan
Updated weekly · Last refresh Aug 30

Expedia (IT) Data Engineer Interview Questions

The questions to prepare for a Expedia (IT) Data Engineer interview. Questions from real interview reports rank first. Updated weekly.

19questions
~3htotal time
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1
PipelinesStart here. 8 questions · ~64 min
Design Real-Time User Data PipelineMedium

Design a real-time user data pipeline processing 400K events/sec from app events and CDC into Snowflake with under 2-minute latency.

InfrastructureStream ProcessingData ModelingExpedia (IT)
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityExpedia (IT)
Data Modeling TechniquesMedium

Tests ability to design schemas that support analytics and scalable data pipelines.

InfrastructureETLData ModelingExpedia (IT)
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2
Coding4 questions · ~32 min
Large-Scale Data AggregationMedium

Tests algorithmic ability to aggregate efficiently at scale.

Hash TablesArraysSortingExpedia (IT)
Arrays and Strings Coding ProblemEasy

Tests core coding skills and attention to edge cases in common data transformations.

ArraysStringsTwo PointersExpedia (IT)
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3
SQL & Data Manipulation3 questions + 3 drills · ~54 min
Handling Missing and Corrupt DataEasy

Tests data quality strategies for reliable pipelines and analytics.

Data WranglingCase WhenAggregationsExpedia (IT)
Deriving Engagement InsightsMedium

Tests analytics thinking and ability to translate behavioral data into actionable improvements.

Window FunctionsData WranglingAggregationsExpedia (IT)
SQL vs NoSQL DifferencesEasy

Tests understanding of relational vs non-relational data models and when to use each.

JoinsData WranglingAggregationsExpedia (IT)
Monthly Sales Trends by CategoryMedium
Practice
Practice drill

Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.

InfrastructureToolsData WranglingTotal Wine & MoreInc.Benjamin Moore
Contact Center Agent Performance MetricsHard
Practice
Practice drill

Compute daily agent call KPIs and SLA using joins, aggregations, and window ranking in a contact center model.

ETLAggregationsData ModelingADP
Handle Missing Financial Input ValuesMedium
Practice
Practice drill

Use joins, CTEs, and CASE logic to flag and fill missing financial fields for Qlik planning records.

Data WranglingETLQualityQlik
4
Behavioral & Leadership4 questions · ~32 min
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The finish line: interview-readyComplete all 19 questions plus 3 hands-on drills to finish this plan.