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Updated weekly · Last refresh Oct 17

Jones Lang LaSalle Data Engineer Interview Questions

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

20questions
~3htotal time
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1
CodingStart here. 5 questions · ~48 min
Maximum Sum Contiguous SubarrayEasy
Practice

Use Kadane's algorithm to find the contiguous subarray with the largest sum in linear time.

Dynamic ProgrammingArraysGreedyJones Lang LaSalle
Dictionary vs ListEasy

Evaluates your understanding of fundamental Python data structures and when to use each.

Data StructurespythonJones Lang LaSalle
How the Internet WorksHard

Assesses your systems thinking and ability to explain networking concepts end to end.

system designNetworkingJones Lang LaSalle
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2
Pipelines5 questions · ~48 min
Handling a Production Pipeline FailureEasy

Describe a real production pipeline failure, how you diagnosed and fixed it, and what changes you made around orchestration, quality, and reruns.

InfrastructureIdempotencyQualityJones Lang LaSalle
ETL vs ELT Trade-offsEasy

Compare ETL and ELT, and explain when ELT is the better pipeline pattern.

ETLELTData ModelingJones Lang LaSalle
Data Quality and Schema EvolutionMedium

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

schema evolutionData ModelingQualityJones Lang LaSalle
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3
SQL & Data Manipulation5 questions + 2 drills · ~68 min
Clustered vs Non-Clustered IndexesMedium

Explain how clustered and non-clustered indexes differ in storage, lookup behavior, and query performance.

JoinsData WranglingJones Lang LaSalle
Snowflake vs Star SchemaMedium

Evaluates your data modeling knowledge for analytics and query performance trade-offs.

Data ModelingJones Lang LaSalle
SQL Query for Data ExtractionEasy
Practice
Practice drill

Extract qualifying market observations by venue and price, then return them in chronological order.

JoinsData ManipulationGroup ByEquifaxDPR ConstructionRigUp
Optimize Slow SQL QueriesMedium
Practice
Practice drill

Demonstrate a PostgreSQL approach for optimizing a filtered aggregation query over related tables.

Subqueriesdatabase optimizationJoinsBoeing Intelligence & AnalyticsRRM Design & EngineeringWaymo
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4
Behavioral & Leadership5 questions · ~48 min
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The finish line: interview-readyComplete all 20 questions plus 2 hands-on drills to finish this plan.