Top 17
Prep plan
Updated weekly · Last refresh Oct 17

Grainger Data Engineer Interview Questions

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

17questions
~3htotal time
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1
SQL & Data ManipulationStart here. 4 questions + 2 drills · ~59 min
SQL Query OptimizationMedium
Practice

Optimize a slow PostgreSQL query that aggregates completed transactions while preserving customers with no matching activity.

Performance Tuningdatabase optimizationindexesGrainger
Optimizing Slow PostgreSQL Research QueriesMedium

Explain how you diagnosed and optimized a slow PostgreSQL query using execution plans, indexing, and query rewrites.

JoinsData WranglingAggregationsGrainger
Star vs Snowflake for Sales AnalyticsMedium

Compare star and snowflake schemas for warehouse design, including trade-offs in normalization, query simplicity, and analytics performance.

JoinsData WranglingGroup ByGrainger
Analyze Customer Purchase Trends with Window FunctionsEasy
Practice
Practice drill

Calculate the monthly spending trends for customers using window functions and joins.

The Home DepotAvisoHewlett Packard Enterprise
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
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2
Pipelines6 questions · ~58 min
Design Real-Time Sensor Event PipelineHard

Design a real-time pipeline for sensor events that transforms data and feeds a UI with low latency.

Stream ProcessingOrchestrationDependenciesGrainger
Fault Tolerance in Data PipelinesHard

Approach for building fault tolerance into a distributed data pipeline, including retries, idempotency, and recovery controls.

InfrastructureIdempotencyQualityGrainger
Batch vs Streaming Data ProcessingEasy

Compare batch and streaming data processing, including when each fits best in a pipeline.

Stream ProcessingETLBatch ProcessingGrainger
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3
Behavioral & Leadership5 questions · ~49 min
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4
More topics2 questions · ~19 min
Python API Fields, Minutes, and JoinsHard

Evaluates your end-to-end coding skills across JSON parsing, aggregation, and SQL joins with business logic.

Data ManipulationsqlpythonGrainger
Parsing JSON Logs for MetricsMedium
Practice

Recursively traverse nested JSON logs and aggregate requested numeric metrics.

aggregationCodingjson parsingGrainger
The finish line: interview-readyComplete all 17 questions plus 2 hands-on drills to finish this plan.