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Lyft Data Engineer Interview Questions

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

20questions
~5htotal time
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1
CodingStart here. 5 questions · ~69 min
Two Sum in PythonEasy
Practice
Recently asked

Find two ride fare values that reach a target using a hash map in O(n) time.

leetcodeAlgorithmsLyft
Sliding Window Aggregation in PythonMedium
Practice
Recently asked

Aggregate per-city Lyft ride counts and fares in trailing time windows using queues and running totals.

Stream ProcessingpythonLyft
PySpark Join Optimization at ScaleHard
Practice
Recently asked

Count a sorted multiway join in one pass using streaming group alignment and O(k) memory.

pysparkaggregationperformance optimizationLyft
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2
SQL & Data Manipulation5 questions · ~69 min
Rolling Retention with Window FunctionsHard
Practice
Recently asked

Calculate daily Lyft rider retention within the next 30 days using joins, aggregation, and ROW_NUMBER().

Window FunctionssqlLyft
Detect Fraud Patterns in SQLMedium
Practice
Recently asked

Use LAG and conditional aggregation to identify accounts with repeated transactions occurring within short time intervals.

fraud detectionLag/LeadsqlLyft
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3
Pipelines6 questions · ~83 min
Experience With Data Cataloging ToolsEasy
Recently asked

Discuss how you use data cataloging tools in pipelines, including metadata, lineage, data quality, and operational visibility.

InfrastructureQualityLyft
Data Quality and Schema EvolutionMedium
Recently asked

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

schema evolutionData ModelingQualityLyft
Design Lyft Data ModelsHard
Recently asked

Design driver, rider, and trip schemas that support Lyft real-time operations and analytical workloads.

api designdata latencydata architectureLyft
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4
Behavioral & Leadership4 questions · ~55 min
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