Difficulty
Average
Candidate-reported interview insights
Autodesk Data Engineer interviews, decoded.
Explore commonly reported questions, interview rounds, difficulty, duration, and candidate experiences for the Data Engineer role at Autodesk.
4 rating Enterprise Software & Network Solutions
Interview overview
Average rounds
2.3
Average duration
~44 days
Difficulty and candidate experience
Interview difficulty
easy7.1%
average71.4%
difficult21.4%
Candidate experience
positive50%
neutral28.6%
negative21.4%
Candidate-reported interview process
First up was a phone screening with the recruiter just to see if I was a good fit. They asked me about my current experience and what I knew about the company. After that, a tough technical interview was set up. This interview focused on coding problems in python and SQL, plus data engineering concepts.
Applied mid-October and got a Codesignal link late November. Scheduled a live coding interview with a senior engineer, but it got rescheduled a bunch of times. Didn't get past the technical part.
The first interview went well. The hiring manager asked questions about how I'd handle different situations, checking my problem-solving skills and if I could think on my feet. It seemed like a good starting point for the next steps.
Common Autodesk Data Engineer interview questions
A focused selection of the most detailed candidate-submitted questions.
- 1
What was a bottleneck you experienced in the data pipeline and how did you approach solving it?
- 2
What are the differences between data engineer and data scientists?
- 3
Have you worked on time-series data and those sorts of questions?
- 4
Explain your past experiences in the big data area.
Interview question formats
Behavioral30.9%
Technical27.5%
Coding18.4%
Other14%
Case3.8%
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Interview information is based on candidate reports and may not represent the current official hiring process of Autodesk.