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 weekly.

Start practicing free →

Fraud Detection Batch vs Streaming

Medium

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 Processing

Uber Eats

Optimize Skewed Spark Join

Medium

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

Joinsperformancespark

Uber Eats

Incremental ETL With Late Data

Hard

Tests designing idempotent incremental pipelines for Uber Eats order data.

ETLIncremental loadIdempotency

Uber Eats

More Pipelines questions with a free account

Match Drivers to Restaurants

Medium

Tests geospatial reasoning and algorithm design for Uber Eats dispatch-like matching.

MathArraysGreedy

Uber Eats

Stream Large Datasets Safely

Medium

Tests memory-efficient data processing patterns in Python or Java.

streamingjavapython

Uber Eats

More Coding questions with a free account

Sign up to see every question

Create a free account to unlock this list and practice real interview questions.

Get my prep plan

Prioritizing Competing Data Requests

Medium

Tests prioritization under pressure in a data engineering context, including stakeholder management, trade-off decisions, and ownership of outcomes.

Decision MakingStakeholder ManagementPrioritization

Uber Eats

More Behavioral & Leadership questions with a free account

Open any question for its full solution and discussion.

Browse all Uber Eats Data Engineer questions →