Senior Data Engineer

Reposted 8 Days Ago
Hiring Remotely in US
Remote
172K-231K
Senior level
Information Technology • Software • Database • Analytics
The Role
Lead the design and management of scalable data pipelines, develop canonical datasets, drive data architecture decisions, and partner with cross-functional teams to deliver impactful solutions.
Summary Generated by Built In

About Us 

dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we’ve grown from an open source project into the leading analytics engineering platform, now used by over 50,000 teams every week. 

As of February 2025, we’ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Cloud customers, including JetBlue, HubSpot, Vodafone New Zealand, and Dunelm. We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. At our core, we believe in empowering data practitioners:

  • Code-based data transformations unlock transparency, flexibility, and collaboration
  • Analysts should adopt software engineering best practices to build trusted data products
  • Core analytics infrastructure should be open source and user-controlled
  • Analytic code—not just tools—should be shared and community-driven
dbt is now synonymous with analytics engineering, defining the modern data stack and serving as the data control plane for enterprise teams around the world. And we’re just getting started. We’re growing fast and building a team of passionate, curious people across the globe. Learn more about what makes us special by checking out our values.
 

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:
    • $172,000 - $207,900
  • The typical starting salary range for this role in the select locations listed is:
    • $191,000 - $231,000

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

Remote Hiring Process:

  • Interview with a Talent Acquisition Partner
  • Interview with Hiring Manager
  • White boarding session with a member of the data team
  • White boarding session with a member of the software engineer team
  • White boarding session with a cross functional stakeholder
  • Final Interview with our VP of Data

dbt Labs is an equal opportunity employer, committed to building an inclusive team that welcomes diverse perspectives, backgrounds, and experiences. Even if your experience doesn’t perfectly align with the job description, we encourage you to apply—we value potential just as much as a perfect resume.

Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page.

dbt Labs reserves the right to amend or withdraw the posting at any time. For employees outside the United States, dbt Labs offers a competitive benefits package. Equity or comparable benefits may be offered depending on the legal or country limitations.

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Top Skills

Airflow
Dagster
Java
Prefect
Python
Rust
Scala
SQL
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The Company
HQ: Philadelphia, PA
450 Employees
Year Founded: 2016

What We Do

At dbt Labs, we make data work.  Our open-source software, dbt, enables anyone who knows SQL to engineer, document, and test data pipelines.  By empowering analysts to work like and with data engineers, dbt drastically increases an organization's ability to model and serve analytics. We’ve built a community of 100,000+ people and are backed by top investors including Andreessen Horowitz and Sequoia Capital. dbt is already used and loved by thousands of companies and dbt Cloud enables this workflow at scale. 

dbt Labs headquarters are in Philadelphia, Pennsylvania, but we are a distributed team and advocate for a remote-first culture. We want our people to work from the places where they are happiest, healthiest, and most inspired to do great things.

Why Work With Us

At dbt Labs, we bring our whole selves to work. We bring our interests and experiences, our cultural influences, our physical and emotional needs, our communication styles and lifestyles, our values, and our curiosity. We have built a lot of trust in each other, and we work hard to be worthy of it.

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