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Updated weekly · Last refresh Aug 30

Nasdaq Data Engineer Interview Questions

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

33questions
~5htotal time
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1
CodingStart here. 4 questions · ~34 min
First Non-Repeating CharacterEasy
Practice
Recently asked

Find the first non-repeating character in a string using frequency counting and a second pass in O(n) time.

Hash TablesStringsSearchingNasdaq
Parse Logs Efficiently in PythonMedium
Recently asked

Tests efficient file parsing, pattern extraction, and memory-aware Python implementation.

StringsfunctionsNasdaq
Python and Spark Data StackMedium

Assesses practical fluency across the Python and Spark data engineering stack and day-to-day Linux usage.

pysparkpandaspythonNasdaq
SQL and Git FundamentalsMedium

Tests your baseline engineering fundamentals across version control and core data tooling.

gitExcelpythonNasdaq
2
Behavioral & Leadership26 questions · ~223 min
Delivering Under Severe Time PressureMedium

Tests prioritization under pressure, ownership, and stakeholder management when a deadline is fixed and the work is at risk.

stress managementConflict Resolutiontime managementNasdaq
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3
More topics3 questions · ~26 min
Employee Sales SQL QueryMedium

Tests SQL aggregation and ranking logic for business analytics style questions.

sqlAggregationsNasdaq
Data Processing and Quality ChecksMedium

Evaluates your approach to ensuring data correctness and reliability in production pipelines.

data processingNasdaq
Basic SQL Queries and GitEasy

Assesses your ability to perform foundational SQL work and collaborate using Git.

sql queriesNasdaq

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Rolling 30-Day Trading VolumesMedium
Practice
Practice drill

Use a CTE and window function to calculate 30-day trading volume for active Nasdaq Trade Management accounts.

Window FunctionssqlNasdaqBinance
Reverse Rows in a DataFrameMedium
Practice
Practice drill

Reverse each Protium loan's repayment events using ROW_NUMBER while preserving chronological row details.

pandassqlPProtium
Top Models Per Asset ClassEasy
Practice
Practice drill

Rank Balyasny research models by average return within each asset class using DENSE_RANK and aggregation.

performancesqlBalyasny Asset Management
The finish line: interview-readyComplete all 33 questions plus 3 hands-on drills to finish this plan.