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Updated weekly · Last refresh Aug 30

Magic Leap Data Engineer Interview Questions

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

15questions
~2htotal time
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1
PipelinesStart here. 8 questions · ~65 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityMagic Leap
Design an End-to-End Data PipelineMedium

Approach for designing an end-to-end data pipeline from ingestion through transformation, storage, and downstream consumption.

data pipelinedesigningestionMagic Leap
Handling Missing Data in PipelinesMedium

Approach for handling missing data in an ML data pipeline, including validation, imputation, and safe downstream consumption.

InfrastructureETLBatch ProcessingMagic Leap
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2
SQL & Data Manipulation3 questions + 3 drills · ~54 min
Optimize a Slow SQL QueryHard

Tests deep SQL performance troubleshooting skills, including indexing, query plans, and execution bottlenecks.

Performance Tuningdatabase managementMagic Leap
SQL vs NoSQL DifferencesEasy

Tests understanding of database tradeoffs and when to choose each approach.

SubqueriesJoinsData WranglingMagic Leap
Data Modeling TechniquesMedium

Tests your modeling choices for analytics and operational needs, including schema design tradeoffs.

JoinsData WranglingGroup ByMagic Leap
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
Handle Missing Financial Input ValuesMedium
Practice
Practice drill

Use joins, CTEs, and CASE logic to flag and fill missing financial fields for Qlik planning records.

Data WranglingETLQualityQlik
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
3
Behavioral & Leadership3 questions · ~24 min
Recover From Late Data CollectionMedium

Assesses incident recovery, communication, and accountability when data collection goes wrong.

Communicationdata collectionMagic Leap
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4
More topics1 question · ~8 min
Implement Join in PythonMedium

Tests your ability to translate join logic into correct and efficient code.

Hash TablesArraysSortingMagic Leap

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