Real interview questions asked at JP Morgan. Practice the most frequently asked questions and land your next role.
JP Morgan data engineering interviews test your ability across multiple domains. These questions are sourced from real JP Morgan interview experiences and sorted by frequency. Practice the ones that matter most. This set leans toward fundamentals — 16 easy, 3 medium, and 4 hard questions. Recurring themes are spark, join, and etl — these patterns appear most often in real interviews and reward the deepest preparation. Average answer is around 1 minute of reading — plan roughly 1 hour to work through the full set thoughtfully.
This collection contains 23 curated questions: 16 easy, 3 medium, and 4 hard. There's a strong foundation of fundamentals-focused questions — ideal for building confidence before tackling advanced topics.
The most frequently tested areas in this set are spark (5), join (4), etl (3), optimization (3), partition (2), and sql (2). Focusing on these topics will give you the highest return on your preparation time.
Start with the easy questions to warm up and solidify fundamentals. Medium-difficulty questions form the bulk of real interviews — spend the most time here and practice explaining your reasoning out loud. Hard questions often appear in senior and staff-level rounds; attempt them after you're comfortable with the basics. For each question, try answering before revealing the solution. Use our AI Mock Interview to simulate real interview conditions and get instant feedback on your responses.
Describe how you deploy code to a production environment using Jenkins
Explain the Terraform lifecycle for deploying a new cluster on AWS
Write Terraform configurations for configuring an EC2 machine
Difference between stubs and skeletons in RMI (Remote Method Invocation)
Convert a Binary Search Tree (BST) into a skewed tree in either increasing or decreasing order
Explain the internal working of a HashMap
Finding Complete String Pairs - identify pairs of strings that when concatenated contain all 26 English alphabets
Read data from three files into a Pandas DataFrame, perform transformations, remove columns, filter rows, search for strings
What happens if the run() method in a Thread class is not overridden?
What is the default value for float and Float in Java?
When were lambda expressions introduced in Java?
Write a Singleton class implementation
Write a function that replaces all characters in a list except for a given character
Write code using Java's concurrent API (forEach, forEachEntry, forEachKey)
Given two dataframes (df1: id, name and df2: id, country, address, city, count), join them, filter for rows where country = 'Singapore', and pivot the output. Sort cities in descending order of population count
Hierarchical Employee-Manager Query - navigate hierarchy with head of company as employee_id = 1
Write a query that identifies numbers appearing at least three times consecutively without interruption
Bloom Filters in Spark projects - explain use case
Calculating Databricks costs - explain DBU
Controlling mappers in MapReduce
Data locality in Hadoop - explain
Databricks Job Cluster and SQL Endpoint - discuss Photon
Handling custom data types in Spark
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