Process
There were a few individual pre-selection interviews, followed by a "virtual on-site." This virtual on-site was essentially a day filled with multiple remote interviews.
Finally, there was a home assignment that I could complete on my own time.
Each interview was very professional. The tasks were challenging and engaging, but also quite a bit of fun.
Questions
Implement and test a simple function in an unknown programming language, given just a manual.
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Interview Statistics
The following metrics were computed from 101 interview experiences for the Databricks Software Engineer role in United States.
Success Rate
Databricks's interview process for their Software Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having mixed feelings for Databricks's Software Engineer interview process in United States.
Databricks Work Experiences
- 5.0Fast-moving companySoftware Engineer • Current EmployeeAmsterdam, NetherlandsAugust 14, 2023Pros: - Learning a lot - Fast-pacedCons: - WLB can be bad at times.
- 4.0GoodSoftware Engineer • Former EmployeeBengaluruOctober 18, 2026Pros: Good, nice pay and benefits.Cons: Not as such bad anything
- 5.0Great place to work, still tons of growth aheadSoftware Engineer • Current EmployeeDecember 25, 2021Pros: - Interesting technical problems. - Co-workers are very smart and very collaborative. Consistent high quality, unlike high variance at FAANG. - Engineering org is still small enough that you can have a lot of impact regardless of your level. - Focus on building great products, cut through BS, company doesn't waste time on distractions. - Well-positioned for lots of future growth.Cons: Technical debt from organic growth over many years, but this is also an opportunity and the company is prioritizing fixing it. Internal tools could be better, but this is also an opportunity (if you work on a team that works on internal tools) and the company is working on fixing it. WLB is not ideal, but also not as bad as some people say. It seems to be more a function of the kind of people Databricks hires than something imposed by management.
Databricks Interview Questions
