Data Engineer

Job Overview

As a Data Engineer at dbt Labs, you will assist in designing, building, and owning core components of our data ecosystem, which is essential for enabling analytics 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, working with dbt Labs products to build the company's internal data capabilities and maintaining foundational data infrastructure that drives critical business decisions.

Technical Requirements

Responsibilities

• • Design, build, and maintain reliable, scalable data pipelines using dbt
• • Implement and enforce standards that ensure high data quality, consistency, and reliability across the internal data ecosystem
• • Optimize query performance, manage compute costs, and ensure low-latency data access for downstream users
• • Continuously evaluate and enhance existing systems, proactively identifying and resolving technical debt and bottlenecks
• • Collaborate with analysts, business stakeholders, and engineers to understand data requirements and deliver relevant and sustainable solutions
• • Build automation into data workflows to reduce manual overhead and improve data freshness, lineage tracking, and monitoring
• • Provide product feedback by 'dogfooding' new data infrastructure and AI technology

Technical Environment

Benefits & Perks

• • Unlimited vacation time with a culture that 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