Senior Data Engineer - Remote

Overview

As a Senior Data Engineer at dbt Labs, you'll take the lead in designing, building, and owning core components of our data ecosystem—from infrastructure to pipelines to data products.

In Short

• 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.

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.
• 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.

Benefits

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