Top 34
Prep plan
Updated weekly · Last refresh Oct 17

Nasdaq Data Engineer Interview Questions

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

34questions
~7htotal time
Track your progressSign up free to work through all 34 questions and resume where you left off.
Start practicing free →
1
CodingStart here. 6 questions · ~70 min
First Non-Repeating CharacterEasy
Practice

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

Hash TablesStringsSearchingNasdaq
Python and Spark Data StackMedium
Practice

Deduplicate pipeline events and aggregate success counts, failure counts, and durations using a single Python pass.

pysparkdeduplicationaggregationNasdaq
More Coding questions with a free account
2
SQL & Data Manipulation3 questions · ~35 min
Employee Sales SQL QueryMedium
Practice

Aggregate annual sales by employee and identify the employee-year with the highest total.

Date FunctionsGroup BysqlNasdaq
Basic SQL Queries and GitMedium
Practice

Filter valid market records, calculate average prices by symbol, and explain a safe Git workflow for the data task.

sql queriesdatabase queryingdata validationNasdaq
More SQL & Data Manipulation questions with a free account

Sign up to see every question

Create a free account to unlock this list and practice real interview questions.

Get my prep plan
3
Technical Fundamentals9 questions · ~105 min
Databricks Skew and Shuffle OptimizationHard

Diagnose Spark data skew and reduce shuffle cost using AQE, partitioning, salting, broadcasting, and pre-aggregation.

cpu utilizationperformancetechnical fundamentalsNasdaq
Star vs Snowflake for Financial ReportingMedium

Compare star and snowflake schemas, then choose between denormalized reads and normalized writes for high-volume financial reporting.

snowflake schemastar schematechnical fundamentalsNasdaq
More Technical Fundamentals questions with a free account
4
Behavioral & Leadership14 questions · ~163 min
More Behavioral & Leadership questions with a free account
5
More topics2 questions · ~23 min
Data Processing and Quality ChecksHard

Explain how you improved an ETL pipeline with data quality checks and validated its correctness, completeness, and reliability.

Data Qualitydata processingdata pipelinesNasdaq
Audit-Ready Historical Stock ModelingHard

Tests data modeling for temporal history and audit requirements in market data systems.

Data ModelingNasdaq
The finish line: interview-readyComplete all 34 questions to finish this plan.