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Updated weekly · Last refresh Sep 22

Uber Eats Data Engineer Interview Questions

The questions to prepare for a Uber Eats Data Engineer interview. Questions from real interview reports rank first. Updated daily.

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1
PipelinesStart here. 10 questions · ~105 min
Optimize Skewed Spark JoinMedium

Optimize a Spark join where skewed keys create long-running tasks during a transaction to merchant metadata enrichment step.

JoinsperformancesparkUber Eats
Fraud Detection Batch vs StreamingMedium

Design a fraud pipeline that compares batch, streaming, and hybrid architectures for 120K tx/sec with sub-300 ms decisions and reconciled hourly tables.

Stream ProcessingETLBatch ProcessingUber Eats
Data Quality and Schema EvolutionMedium

Approach for handling schema changes and data quality checks in a high-volume data lake pipeline.

schema evolutionData ModelingQualityUber Eats
SQL and Python FundamentalsMedium

Assesses practical SQL and Python skills for building reliable data pipelines.

system designsqlpythonUber Eats
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2
Coding5 questions · ~53 min
Match Drivers to RestaurantsMedium
Practice

Find all driver restaurant pairs within a Euclidean distance threshold and return them ordered by proximity.

MathArraysGreedyUber Eats
Extract Metrics From Server LogsMedium
Practice

Parse structured server log lines with a regular expression and aggregate valid ERROR records by code and endpoint.

log parsingCodingfunctionsUber Eats
Validate Restaurant Operating HoursMedium

Tests parsing, validation, and correctness for time-related data from Uber Eats.

Date FunctionsUber Eats
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3
Behavioral & Leadership6 questions · ~63 min
Owning a Major Analytics FailureEasy

Tests ownership after failure, response under pressure, and ability to turn a mistake into a concrete process improvement.

failureself assessmentresilienceUber Eats
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