Staff Software Engineer

dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. They are seeking an experienced Staff Software Engineer to lead the development of scalable applications and services that power their platform, collaborating across teams to enhance the usability and security of their offerings.

Responsibilities:

• Design, build, and maintain full stack applications that scale with our growing customer base
• Lead technical architecture discussions, ensuring the platform is performant, maintainable, and secure
• Tackle ambiguous, open-ended problems with strategic thinking, balancing technical constraints with user needs and product goals
• Build services, APIs, and experiences that support user delight, quality, high availability and performance
• Work closely with Product, Design, Operations, and Security teams to deliver well-architected solutions
• Define and drive best practices in testing, observability, and system reliability
• Mentor engineers across the company, fostering technical growth and collaboration
• Champion a culture of technical excellence and innovation, influencing engineering direction across multiple teams or domains

Requirements:

• 10+ years of experience as a software engineer
• Minimum requirement of Bachelor's Degree in a related field (computer science, computer engineering, etc.) OR completed enrollment in engineering related bootcamp
• 10+ years of experience as a software engineer developing SaaS platforms and applications at scale
• Proven experience designing and scaling full stack applications
• Proficiency with backend languages and frameworks such as Python, Go, Rust, django, Node.js, Java, Spring
• Strong understanding of API design, system architecture, and database management
• Experience leading complex projects and driving cross-functional collaboration
• A systematic problem-solving approach, strong communication skills, and a sense of ownership
• Familiarity with cloud infrastructure such as AWS, GCP, Azure, Kubernetes, Terraform
• Ability to mentor engineers and influence technical direction across teams
• Proficiency with modern frontend frameworks including React and TypeScript
• Experience working with data engineering tools or data processing pipelines
• Background in performance optimization and observability tools like Datadog
• Experience working on distributed, remote-first teams