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Data Engineer Interview Questions

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Data Engineer Interview Questions

Data engineers are IT professionals who are needed in almost every industry. Data engineers monitor data trends to determine best next steps for companies. A critical part of a data engineer job is to process raw data into usable data by creating data pipelines and building data systems.

Top Data Engineer Interview Questions & How To Answer

Question 1

Question #1: Can you describe in detail your level of expertise with programming languages?

How to answer
How to answer: Before the interview, review your resume and/or portfolio and make a list of the programs you are most proficient with. If you find that you are lacking the expertise in a program that the company predominately uses, describe yourself as a highly motivated self-starter who will work tirelessly to learn the program(s).
Question 2

Question #2: Explain data engineering in your own words.

How to answer
How to answer: Highlight your role in relation to the larger organization and other roles like data scientists to clearly define your contribution to the overall system of business. Clarify the difference between a database-centric engineer and a pipeline-centric engineer.
Question 3

Question #3: Can you describe your experience working with Apache Hadoop and cloud data management environments?

How to answer
How to answer: Research the company's software, data cloud products, and use of Apache Hadoop to be prepared for this inquiry. Data Engineers must be fluent in programming languages and data management systems used throughout the industry such as Apache Hadoop.

20,120 data engineer interview questions shared by candidates

Code a data structure which allows us to store and retrieve items by key up to a fixed capacity. When we add items over capacity we free up space by removing an item first: 1) remove any expired item first 2) If there are no expired items, find the items with the lowest priority number, and remove the one which has been used least recently of them Optimise for time.
avatar

Data Engineer

Interviewed at bp

3.8★
Nov 2, 2023

Code a data structure which allows us to store and retrieve items by key up to a fixed capacity. When we add items over capacity we free up space by removing an item first: 1) remove any expired item first 2) If there are no expired items, find the items with the lowest priority number, and remove the one which has been used least recently of them Optimise for time.

SQL
avatar

Data Engineer

Interviewed at Peloton Interactive

3.5★
Mar 15, 2020

SQL

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