Data Engineer

Summary

Join dbt Labs as a Data Engineer and help design, build, and maintain core components of our data ecosystem. You will be responsible for building and maintaining foundational data infrastructure that powers critical business decisions. This role offers the opportunity to use dbt Labs products daily, work on cutting-edge technology, and solve complex technical problems. You will collaborate with analysts, business stakeholders, and engineers to deliver sustainable solutions. The position requires expertise in SQL and Python, along with experience in data engineering and software engineering. This is a chance to make a lasting impact on a high-growth company.

Requirements

• Are an expert in SQL and Python
• 2+ years of experience as a data engineer, and 4+ 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
• 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 maintain reliable, scalable data pipelines using dbt to support analytics and operational use cases
• Implement and enforce standards that ensure high data quality, consistency, and reliability across our internal data ecosystem
• Optimize query performance, manage compute costs, and ensure low-latency data access for downstream users
• Continuously evaluate and enhance existing systems, proactively identifying and resolving technical debt and bottlenecks
• Collaborate with analysts, business stakeholders, and engineers to understand data requirements and deliver relevant and sustainable solutions
• Build automation into data workflows to reduce manual overhead and improve data freshness, lineage tracking, and monitoring
• Provide product feedback by “dogfooding” new data infrastructure and AI technology

Preferred Qualifications

• Experience developing and scaling dbt projects
• Have worked in a SaaS or high-growth tech environment
• Working knowledge of open table formats (such as Apache Iceberg)

Benefits

• Unlimited vacation time with a culture that actively encourages time off
• 401k plan with 3% guaranteed company contribution
• Comprehensive healthcare coverage
• Generous paid parental leave
• Flexible stipends for: Health & Wellness
• Home Office Setup
• Cell Phone & Internet
• Learning & Development
• Office Space