Process
I had an online assessment with 3 questions, probably 2 medium and 1 hard. A few weeks later, I received a rejection email.
My performance on the assessment wasn't bad, but I still...
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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
12%
Pass 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
Positive36%
Neutral28%
Negative37%
Candidates reported having mixed feelings for Databricks's Software Engineer interview process in United States.
Databricks Work Experiences
5.0
Great place for steady work
Software Engineer • Former Employee
San Francisco, CA
September 28, 2026
Pros: Stable, good engineering quality and culture.
Cons: Work is not challenging, and it is close to big tech at this stage.
5.0
Great place to work, still tons of growth ahead
Software Engineer • Current Employee
December 25, 2021
Pros: - 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.
5.0
Awesome teammates, amazing leadership
Software Engineer • Current Employee
San Francisco, California, United States
October 26, 2021
Pros: Super helpful and collaborative teammates.
Solving interesting and impactful problems. With accelerated growth comes the challenge of scaling the service to meet the demand, which has been a great learning experience.
TC is amazing with stock growth.
Cons: Everyone is very intelligent and hardworking. They push you to work harder, even if you prefer a less demanding workload.
- 5.0Great place for steady workSoftware Engineer • Former EmployeeSan Francisco, CASeptember 28, 2026Pros: Stable, good engineering quality and culture.Cons: Work is not challenging, and it is close to big tech at this stage.
- 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.
- 5.0Awesome teammates, amazing leadershipSoftware Engineer • Current EmployeeSan Francisco, California, United StatesOctober 26, 2021Pros: Super helpful and collaborative teammates. Solving interesting and impactful problems. With accelerated growth comes the challenge of scaling the service to meet the demand, which has been a great learning experience. TC is amazing with stock growth.Cons: Everyone is very intelligent and hardworking. They push you to work harder, even if you prefer a less demanding workload.
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