Interview questions
Preparing for a data engineering interview at JP Morgan? This page contains 7 real interview questions sourced from verified JP Morgan interview experiences. Questions are sorted by frequency — the ones asked most often appear first.
JP Morgan data engineering interviews typically focus on Python/Coding, SQL, and Spark/Big Data. There's a solid mix of fundamental and advanced questions, making it accessible for candidates at multiple experience levels.
Use the difficulty filters above to focus your preparation. For each question, attempt your own answer first, then compare with our expert solution. You can also practice these questions in our AI Mock Interview Coach for real-time feedback.
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
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
Calculating Databricks costs - explain DBU
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