Senior Data Engineer

Position Overview

dbt Labs is seeking a Senior Data Engineer to design, build, and own core components of our data ecosystem, from infrastructure to pipelines to data products. This role is crucial for enabling analytics, accelerating growth, and improving operational efficiency across the business. You will be part of a 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 that uses dbt Labs products daily to build the company's internal data capabilities, influencing critical business decisions and the company's growth trajectory.

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, etc.).
• 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

• Expertise in SQL and Python.
• 5+ years of experience as a data engineer.
• 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.

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.

About dbt Labs

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.

Application Instructions

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