Senior Data Engineer

Summary

Join dbt Labs as a Senior Data Engineer and lead the design, building, and ownership of core components within our data ecosystem. You will be instrumental in creating a robust data foundation that supports analytics, growth, and operational efficiency. This role involves collaborating with cross-functional teams, utilizing cutting-edge technology, and solving complex technical problems. You will build and maintain foundational data infrastructure that powers critical business decisions. The work offers executive visibility and significant cross-functional impact, directly influencing our growth trajectory. This is a unique opportunity to join a team that uses dbt Labs products daily to build the company's internal data capabilities.

Requirements

• Are an expert in SQL and Python
• 5+ years of experience as a data engineer, and 8+ years of total experience in software engineering (including data engineering roles)
• Proficiency in at least one additional core Data Engineering language such as Scala, Java or Rust
• Strong knowledge of data infrastructure and architecture design
• Hands-on experience with modern orchestration tools like Airflow, Dagster, or Prefect
• A bias for action—able to stay focused and prioritize effectively

Responsibilities

• Design, build, and manage scalable, reliable data pipelines that ingest product and event data into our data stores
• Develop and maintain canonical datasets to track key product and business metrics—user growth, engagement, revenue, and more
• Architect robust, reliable systems for large volume batch data processing
• Drive decisions on data architecture, tooling, and engineering best practices
• Enhance observability and monitoring of existing workflows and processes
• Partner cross-functionally with teams across Infrastructure, Product, Marketing, Finance, and GTM to understand data needs and deliver impactful solutions
• Provide product feedback by “dogfooding” new data infrastructure and AI technology

Preferred Qualifications

• Experience developing and scaling dbt projects
• Experience working in a SaaS or high-growth tech environment
• Experience working with open table format (such as Apache Iceberg) data storage across regions and clouds

Benefits

• Excellent healthcare
• Paid Parental Leave
• 401k matching
• Wellness stipend
• Home office stipend, and more!
• Unlimited vacation (and yes, we use it!)