Senior Data Engineer

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. This data foundation is essential for enabling analytics, accelerating growth, and improving operational efficiency across the business. You’ll be part of a tight-knit, strategic team that combines strong technical execution with a bias for impact and cross-functional influence.

This is a unique opportunity to join a team involved in using dbt Labs products daily to build the company's internal data capabilities. This group is responsible for building and maintaining foundational data infrastructure that powers critical business decisions across the company. With executive visibility and deep cross-functional impact, the work you do here will directly influence the trajectory of our growth. If you're excited by the challenge of building from the ground up, solving complex technical problems while utilizing cutting edge technology, and driving business strategy through data, this is your chance to make a lasting mark.

In this role, you can expect to:

• 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
  
  

You’re a great fit if you have:

• 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
  
  

You’ll stand out if you have:

• 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

#LI-Remote

Compensation:

We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab’s total rewards during your interview process. In select locations (including Boston, Chicago, Denver, Los Angeles, Philadelphia, New York City, San Francisco, Washington, DC, and Seattle), an alternate range may apply, as specified below.

• • The typical starting salary range for this role is:

  $163,000 - $198,000 USD 

  • The typical starting salary range for this role in the select locations listed is:

  $182,000 - $220,000 USD 

• Equity Stake* 
• Benefits: 
  •  dbt Labs offers:
    • Unlimited vacation (and yes, we use it!)
    • Excellent healthcare
    • Paid Parental Leave
    • 401k matching 
    • Wellness stipend
    • Home office stipend, and more! 

What to expect in the hiring process (all interviews will be conducted via Zoom):

• Interview with a Talent Acquisition Partner to align on the role and the skills and experiences we mutually value
• Interview with Hiring Manager
• White boarding session with a member of the data team.
• White boarding session with a cross functional stakeholder.
• Final wrap up/ values discussion with Data Leader