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Data Engineer

dbt Labs

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Job Description

Job Overview

As a Data Engineer at dbt Labs, you'll assist in designing, building, and owning core components of our data ecosystem—from infrastructure to pipelines to data products. This role is essential for enabling analytics, accelerating growth, and improving operational efficiency across the business. You will join a strategic team that focuses on strong technical execution and cross-functional influence, directly impacting the company's growth trajectory.

Technical Requirements

Required Skills
  • • SQL
  • • Python
Preferred Skills
  • • Scala
  • • Java
  • • Rust
Experience Level

2+ years of experience as a data engineer and 4+ years of total experience in software engineering

Responsibilities

  • • Design, build, and maintain reliable, scalable data pipelines using dbt
  • • Implement and enforce standards to ensure high data quality, consistency, and reliability
  • • Optimize query performance, manage compute costs, and ensure low-latency data access
  • • Continuously evaluate and enhance existing systems, identifying and resolving technical debt
  • • Collaborate with analysts, business stakeholders, and engineers to understand data requirements
  • • Build automation into data workflows to improve data freshness and monitoring
  • • Provide product feedback by using new data infrastructure and AI technology

Technical Environment

Languages
Frameworks
dbt
Tools & Technologies

Benefits & Perks

  • • Unlimited vacation time
  • • 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

Additional Information

Location
US - Remote
Type
Full-time
Compensation
$118,000 - $143,100 (typically), $131,000 - $159,000 in select locations

About dbt Labs

dbt Labs empowers data teams to build reliable, governed data pipelines—accelerating analytics and AI initiatives with speed and confidence.

Company Size
unknown
Categories
AI Data Analytics Data Engineering

Skills & Technologies