Data Engineer applicants have rated the interview process at Autodesk with 2.5 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 50% positive. To compare, the company-average is 65.4% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Engineer roles take an average of 14 days to get hired, when considering 2 user submitted interviews for this role. To compare, the hiring process at Autodesk overall takes an average of 37 days.
Common stages of the interview process at Autodesk as a Data Engineer according to 2 Glassdoor interviews include:
Phone interview: 50%
Presentation: 50%
Here are the most commonly searched roles for interview reports -
My experience interviewing with Autodesk has been extremely disappointing. This is the second time I have gone through their full interview process, only to be rejected at the very end.
In both cases, I received positive feedback throughout the process and was advanced from one round to the next based on my performance. The interview loop consisted of four rounds and required a significant investment of time, preparation, and energy.
What makes the experience particularly frustrating is receiving only a generic rejection after completing the entire process, despite being encouraged throughout the interviews. While I understand that not every candidate can be selected, a more transparent and respectful process would go a long way.
Based on my experience, candidates should be prepared for a lengthy interview process and manage their expectations accordingly. Unfortunately, I felt that a substantial amount of my time was invested without meaningful feedback or clear communication regarding the final decision.
I applied online. The process took 1 week. I interviewed at Autodesk (Toronto, ON) in Jun 2025
Interview
Had a phone screening with recruiter to determine fit. He asked about current experience and knowledge about the company. Later a technical interview was scheduled that was quite difficult. That interview revolved around coding questions in python and SQL, as well as data engineering concepts