Job Description

As a Senior Data Engineer at dbt Labs, you'll lead the design, build, and ownership of core components of the data ecosystem, from infrastructure to pipelines to data products. This role involves building and maintaining data infrastructure that powers critical business decisions, with high visibility and cross-functional impact.

Responsibilities

• Design, build, and manage scalable, reliable data pipelines
• Develop and maintain canonical datasets for key metrics
• Architect robust systems for large volume batch data processing
• Drive decisions on data architecture, tooling, and engineering best practices
• Enhance observability and monitoring of existing workflows
• Partner cross-functionally to deliver impactful solutions
• Provide product feedback by using new data infrastructure and AI technology

Requirements

• Expert in SQL and Python
• 5+ years of data engineering experience, 8+ years of software engineering experience
• Proficiency in at least one additional core Data Engineering language
• Strong knowledge of data infrastructure and architecture design
• Hands-on experience with modern orchestration tools
• Bias for action and ability to prioritize effectively
• Experience developing and scaling dbt projects
• Experience working in a SaaS or high-growth tech environment
• Experience working with open table format data storage

Benefits

• No benefits