Process
2 coding questions: 1 SQL and 1 algorithms question to solve.
Each question is allocated approximately 25 minutes.
The difficulty will be moderate – not too hard, but also not too easy.
Additionally, expect basic experience questions and a Q&A session for your questions.
Questions
1 SQL 1 Algo question
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Interview Statistics
The following metrics were computed from 2 interview experiences for the TikTok Data Engineer role in Canada.
Success Rate
0%
Pass Rate
TikTok's interview process for their Data Engineer roles in Canada is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive50%
Neutral50%
Negative0%
Candidates reported having very good feelings for TikTok's Data Engineer interview process in Canada.
TikTok Work Experiences
1.0
Toxic Place and No Career Growth
Data Engineer • Current Employee
Seattle, Washington, United States
April 8, 2025
Pros: They will provide good pay.
Cons: 1. Toxic Place and No Career Growth
2. Bad Leadership
3. You can find more mediocre engineers, and they only work with some tools and don't have solid experience and knowledge on building software or data systems from scratch.
4. No Learning Curve
5. Mediocre Team Leads who don't have any in-depth knowledge on any programming languages and just manage.
1.0
Good Pay, Bad Culture
Data Engineer • Former Employee
Mountain View, California, United States
February 21, 2023
Pros: Good pay in here and good vision.
Cons: Bad culture and always work overtime.
3.0
Interested in the work, but the management is awful
Data Engineer • Current Employee
New York, New York, United States
April 18, 2023
Pros: Teammates are good, and work is fun.
Cons: Horrible management. Always changing. Little transparency.
- 1.0Toxic Place and No Career GrowthData Engineer • Current EmployeeSeattle, Washington, United StatesApril 8, 2025Pros: They will provide good pay.Cons: 1. Toxic Place and No Career Growth 2. Bad Leadership 3. You can find more mediocre engineers, and they only work with some tools and don't have solid experience and knowledge on building software or data systems from scratch. 4. No Learning Curve 5. Mediocre Team Leads who don't have any in-depth knowledge on any programming languages and just manage.
- 1.0Good Pay, Bad CultureData Engineer • Former EmployeeMountain View, California, United StatesFebruary 21, 2023Pros: Good pay in here and good vision.Cons: Bad culture and always work overtime.
- 3.0Interested in the work, but the management is awfulData Engineer • Current EmployeeNew York, New York, United StatesApril 18, 2023Pros: Teammates are good, and work is fun.Cons: Horrible management. Always changing. Little transparency.
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