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DoorDash Data Engineer Interview Questions

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

Production Pipeline Quality MonitoringMedium

Approach for adding data quality checks, observability, and production monitoring to a data pipeline.

Data Qualitymonitoringobservability
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Design High-Throughput Event Pipeline
Hard

Design a real-time event pipeline that can handle millions of events per second with sub-second latency.

data pipelineevent processinglatency
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Real-Time Orders and Dasher Dashboard
Hard

Tests real-time data pipeline and streaming design for order and location visibility at scale.

InfrastructureStream ProcessingData Modeling
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Shortest Path for Delivery BatchHard

Tests graph algorithm knowledge and ability to implement shortest-path logic for delivery routing.

SearchingGreedyGraphs
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Merge Delivery Route Intervals
Easy

Tests algorithmic interval merging and correctness on route-time data.

ArraysSortingGreedy
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Customer Support Ticket Lifecycle Model
Medium

Tests data modeling ability for state transitions, events, and queryable ticket history.

JoinsData WranglingData Modeling
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Top Merchants by City
Medium

Tests SQL skills for partitioning, ranking, and time-windowed revenue aggregation.

Window FunctionsRankingAggregations
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Dasher Waiting Time Query
Hard

Tests advanced SQL for sessionization or interval math over Dasher status logs.

Window FunctionsLag/LeadDate Functions
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