Staff Software Engineer

June 23

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dbt Labs

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dbt Labs is on a mission to empower data practitioners to create and disseminate organizational knowledge. Since pioneering the practice of analytics engineering through the creation of dbt—the open source data transformation tool made for anyone that knows SQL—we've been fortunate to watch more than 5,000 companies use dbt to build faster and more reliable analytics workflows.

51 - 200 employees

📋 Description

• 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

• Have 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.

🏖️ Benefits

• Compensation: 201,000 - 271,000 USD • Equity Stake* • Comprehensive benefits package, including: • Unlimited PTO (and we encourage you to use it!) • 401k with a 3% guaranteed contribution • Excellent healthcare coverage • Paid parental leave • Wellness and home office stipends