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Staff Software Engineer

dbt Labs

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Job Description

Job Overview

dbt Labs is seeking an experienced Staff Software Engineer to lead the development of scalable, high-impact applications and services for their analytics engineering platform. The role involves working across the stack and collaborating with various teams to enhance the platform's scalability, security, and usability for a growing customer base. The ideal candidate will set technical direction, mentor other engineers, and promote best practices in engineering excellence.

Technical Requirements

Required Skills
  • • Python
  • • Django
  • • API design
  • • system architecture
  • • database management
Preferred Skills
  • • Go
  • • Rust
  • • Node.js
  • • Java
  • • Spring
  • • React
  • • TypeScript
Experience Level

10+ years of experience as a software engineer developing SaaS platforms and applications at scale

Responsibilities

  • • Design, build, and maintain full stack applications that scale with customer base
  • • Lead technical architecture discussions, ensuring performance, maintainability, and security
  • • Tackle ambiguous problems with strategic thinking, balancing technical constraints with user needs
  • • Build services, APIs, and experiences that support user delight, quality, and high performance
  • • Work closely with Product, Design, Operations, and Security teams
  • • Define and drive best practices in testing, observability, and system reliability
  • • Mentor engineers and foster technical growth
  • • Champion a culture of technical excellence and innovation

Technical Environment

Languages
Frameworks
Tools & Technologies

Benefits & Perks

  • • Compensation: 126,000 - 153,000 Euro per year
  • • Equity Stake
  • • Unlimited PTO
  • • Pension Plan
  • • Excellent healthcare coverage
  • • Paid parental leave
  • • Wellness and home office stipends

Additional Information

Location
Ireland - Remote
Type
Full-time
Compensation
126,000 - 153,000 Euro per year

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