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Top 13
Prep plan
Updated weekly · Last refresh Aug 30

Robinhood Data Engineer Interview Questions

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

13questions
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1
PipelinesStart here. 5 questions · ~41 min
Scaling Data Pipelines EffectivelyMedium

Approach for building data pipelines that scale in throughput, reliability, and operational visibility.

InfrastructureETLRobinhood
Data Quality and Schema EvolutionMedium

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

schema evolutionData ModelingQualityRobinhood
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityRobinhood
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2
SQL & Data Manipulation4 questions + 3 drills · ~63 min
Deduplicate High-Frequency StreamsMedium

Tests strategies for deduplication, idempotency, and correctness in streaming pipelines.

Data QualitydeduplicationStream ProcessingRobinhood
Compute Conversion Rate by SegmentMedium

Tests SQL joins, aggregation, and careful denominator logic for funnel metrics.

analyticsConversion Ratesql queryRobinhood
Optimize Slow Query on Market DataHard

Tests query tuning skills including execution plans, indexing/partitioning, and rewrite strategies.

Performance TuningRobinhood
7-Day Rolling Active UsersMedium
Practice
Practice drill

Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.

Window FunctionsDate FunctionsRunning TotalsMetaSpotifyMeta IT
SQL: Min and Max Per UserEasy
Practice
Practice drill

Use a LEFT JOIN and MIN/MAX aggregation to find each Robinhood user's first and last resource access times.

AggregationsRobinhood
SQL Bookstore Schema PracticeEasy
Practice
Practice drill

Use a CTE, joins, and distinct aggregates to calculate Meta Logistics bookstore payment metrics.

sql queriessqlpythonMeta Logistics
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3
Coding4 questions · ~33 min
Memory-Efficient Large Dataset ProcessingMedium

Tests understanding of streaming, batching, generators, and memory-aware processing patterns.

memory managementdata processingpythonRobinhood
Unit Test Data Transformation PipelinesMedium

Tests test design for data correctness, edge cases, and repeatability in ETL/ELT code.

data pipelinepythonRobinhood
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The finish line: interview-readyComplete all 13 questions plus 3 hands-on drills to finish this plan.