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Uber Eats Interview Questions

The questions to prepare for Uber Eats interviews, across all roles. Questions from real interview reports rank first. Updated weekly.

50questions
~7htotal time
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1
PipelinesStart here. 6 questions · ~48 min
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
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2
Product Sense6 questions · ~48 min
Balance Price vs Delivery SpeedMedium
Recently asked

Tests ranking and trade-off reasoning for Uber Eats discovery and delivery-time outcomes.

user valuedelivery speedUber Eats
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3
Execution6 questions · ~48 min
Global Rollout with Regional RulesHard
Recently asked

Tests execution planning for scaling Uber Eats experiments across regions with regulatory constraints.

Launch PlanningscalingUber Eats
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4
Strategy6 questions · ~48 min
Expand Beyond Food CategoriesHard
Recently asked

Tests strategy and prioritization for category expansion in Uber Eats.

market entrycompetitive landscapeUber Eats
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5
Coding6 questions · ~48 min
Concurrent Event StreamsHard

Tests reasoning about concurrency and choosing data structures for correct, efficient stream handling.

event processingData StructuresconcurrencyUber Eats
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6
System Design4 questions · ~32 min
Distributed Data ConsistencyHard

Tests understanding of consistency models, replication, and trade-offs in distributed systems.

system architecturedistributed systemsdata consistencyUber Eats
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7
More topics16 questions · ~129 min
Model Fee Change ImpactHard

Tests demand-supply modeling and causal reasoning to forecast operational and financial effects of pricing changes.

supply demandUber Eats
Analyze Order Cancellations by SegmentMedium

Tests SQL skills for joining operational tables and identifying cancellation risk segments by geography and time.

JoinsReconciliationAggregationsUber Eats
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
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
Analyzing Operations Bottlenecks with SQLHard
Practice
Practice drill

Use multi-level CTEs, joins, and LAG to identify Samsung regional inventory shortages and late deliveries.

JoinsperformanceAggregationsSamsung ElectronicsApeel Sciences
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
The finish line: interview-readyComplete all 50 questions plus 3 hands-on drills to finish this plan.