ElevenLabs
Mid
Be one of the first data engineers formalizing pipelines at a fast-scaling AI voice company
Interview for a remote Data Engineer role on ElevenLabs' Growth team, building and scaling data pipelines from ingestion to delivery. This role is about dbt mastery, self-service tooling, and being an early data hire who brings structure to messy, high-growth data — expect probing on dbt architecture decisions, stakeholder-driven data modeling, and how you'd build AI agents to serve data questions for non-technical teams.
走进这场面试
免费 · 一场按这个岗位校准的真语音模拟
这场面试考什么
- Expert-level dbt: models, tests, best practices, and data standards
- Building and owning data pipelines end-to-end (ingestion to delivery)
- Self-service tooling and documentation for cross-functional stakeholders
- Modern data stack fluency: Python, SQL, BI tools
- Generalizing varied stakeholder requirements into reusable data models
- Using AI/LLM agents to serve data questions
常见提问方向
Walk me through a data pipeline you built or overhauled from ingestion to delivery
How have you implemented dbt best practices and data quality controls on a growing team
Describe a time you built self-service tooling that reduced ad hoc requests
How do you turn messy, varied stakeholder requirements into a clean, generalized data model
How would you approach building an AI agent to answer data questions for non-technical teams
Tell me about operating as one of the first data engineers on a team — what did you prioritize first
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