Staff Software Engineer, dbt Labs

• Worked asynchronously as part of a fully remote, international, distributed team
• Have experience using Python and Node to create scalable full-stack applications (e.g., building services for applications with complex workflows)
• Enjoy collaborating closely with product management partners
• Have worked with Elasticsearch or other search platforms
• Have experience scaling and designing complex data models
• Can make informed trade-offs to ship useful features promptly without compromising long-term quality

Desirable

• As a Staff Software Engineer, you'll collaborate with subject matter experts who share a vision for data discovery and cataloging across organizations
• You'll build a distributed, highly available platform that connects dbt metadata with third-party BI and warehouse tools to create a seamless catalog experience
• You'll design a search platform allowing stakeholders to easily find metadata from any source
• Additionally, you'll help maintain and scale our existing ingestion pipeline and high-traffic API
• Mentor teammates and serve as a technical lead
• Design and implement scalable, reliable, and highly available system
• Align the team's architectural vision with broader company-wide architectural goals
• Balance trade-offs, set priorities, and manage deliverables using your project completion expertise
• Foster efficient and confident teamwork through high-leverage tooling, mentorship, and your knowledge of industry trends and best practices
• Establish and uphold quality standards to enhance overall service reliability
• Participate in daily stand-ups, mentoring sessions, and pair programming

• Interview with Talent Acquisition Partner
• Interview with Hiring Manager
• Team Interviews
• Final interview with one of our Values Carriers

• Equity Stake
• Unlimited vacation
• 401k w/3% guaranteed contribution
• Excellent healthcare
• Paid parental leave
• Home office stipend

Total funding: $414.4m

In 2018, dbt Labs founder Tristan Handy was running an analytics company and created a data build tool (or ‘dbt’) to help transform data for analysis. Fast forward one year and dbt Labs was born, offering its tools to help companies everywhere transform their data workflows.