Company-aware practice
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Questions will use Behavioral and Technical Assessment signals from dbt Labs.
Difficulty
3.8/5 — Hard
Timeline
3 to 6 weeks
Formats
Recruiter Screen
Initial conversation to discuss background, interest in dbt Labs, and high-level role fit.
Hiring Manager Interview
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
Practice with AI-powered questions tailored to dbt Labs's interview process. Get dimensional feedback and scoring.
Deep dive into your technical experience, past projects, and alignment with the team's goals.
Technical Assessment or Case Study
A practical exercise relevant to the role, such as a coding challenge, system design, or a take-home project.
Panel Interviews
Multiple sessions with cross-functional team members focusing on technical depth, collaboration, and culture fit.
Use the STAR method to structure your response.
How do you approach testing and documentation in your data pipelines?
PracticeEmphasize the importance of testing as a first-class citizen in data engineering.