Data Engineer interview questions
Questions employers really ask a data engineer, and what they listen for. Then practise them by voice with Nexus, the AI interviewer.
Basic questions
- Which programming languages do you know best, and what have you built with them?
- What is the difference between frontend and backend?
- What is Git and why do teams use it?
- What is an API?
- How do you debug a program that is not working?
- How do you keep learning new technology?
- What is cloud computing, in simple words?
- Tell me about a project you worked on as a Data Engineer.
Practical questions
- Explain what happens from the moment you type a website address until the page appears.
- How would you design database tables for users and their orders?
- What is the difference between SQL and NoSQL databases?
- How do you make sure your code works before you release it?
- Tell me about a bug that took you a long time to fix.
- How do you explain a technical problem to someone who is not technical?
- What do you check first when a user says the system is not working?
- How do you estimate how long a task will take?
What interviewers want to hear
Strong answers usually touch on:
codeapidatabasesqlgittestdebugfrontendbackendreactjavascriptpythonserverperformancecachesecurity
- Answer with a real example: the situation, what you did, and the result, ideally with a number.
- Keep each answer to about a minute; make your main point in the first two sentences.
- Expect follow-ups. Good interviewers dig into what you just said.
Ready for the tough questions?
Hard and extreme questions are only asked live, so you can't memorise them. Nexus asks them by voice, follows up, and gives you a score, your mistakes and a stronger answer for every question.
Take a hard interview