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Difficulty
3.8/5 — Hard
Timeline
3 to 6 weeks
Formats
Recruiter Screen
30 minutesInitial conversation to discuss background, interest in dbt Labs, and high-level role fit.
Hiring Manager Interview
45-60 minutesDeep dive into your technical experience, past projects, and alignment with the team's goals.
Technical Assessment or Case Study
2-4 hoursA practical exercise relevant to the role, such as a coding challenge, system design, or a take-home project.
Panel Interviews
3-4 hoursMultiple sessions with cross-functional team members focusing on technical depth, collaboration, and culture fit.
How would you explain dbt to a non-technical stakeholder?
Focus on the value of data transformation and reliability.
Describe a time you had to resolve a complex data quality issue.
Use the STAR method to structure your response.
How do you approach testing and documentation in your data pipelines?
Emphasize the importance of testing as a first-class citizen in data engineering.
Familiarize yourself with the dbt documentation and community Slack
Be prepared to talk about your experience with SQL and modern data warehouses
Showcase your ability to work in an open-source or community-driven environment
Prepare questions about the company's growth and product roadmap
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