Since 2016, dbt Labs has been on a mission to help analysts create and disseminate organizational knowledge. dbt Labs pioneered the practice of analytics engineering, built the primary tool in the analytics engineering toolbox, and has been fortunate enough to see a fantastic community coalesce to help push the boundaries of the analytics engineering workflow. Today there are 30,000 companies using dbt every week, 100,000 dbt Community members, and over 4,100 dbt Cloud customers. You can learn more about our values here.About the teamThe Semantic Layer team is revolutionizing the modern data stack. We're enabling data-driven organizations to instantly access critical business metrics. These metrics are easily discoverable and consistently implemented across entire organizations—regardless of the analytics tool used.Your roleJoining this team, you'll collaborate with subject matter experts who share a vision for how organizations should consume business metrics. You'll build a distributed, highly available system that empowers our customers to go beyond data modeling and proactively answer their most crucial business questions. These range from "What was our gross revenue last quarter in the EU?" to "Which of our medications can we afford to make available at a lower price?".While the backend is crucial, this full-stack team also ensures that end users have a delightful experience with the Semantic Layer. We achieve this by creating excellent ergonomics for the project, including building LLM-powered productivity tools for analytics engineers.In this role, you can expect to:Mentor teammates and serve as a technical leadDesign and implement scalable, reliable, and highly available systemsPrioritize end-user experience and contribute to its continuous improvementBalance trade-offs, set priorities, and manage deliverables using your project completion expertiseFoster efficient and confident teamwork through high-leverage tooling, mentorship, and your knowledge of industry trends and best practicesEstablish and uphold quality standards to enhance overall service reliabilityParticipate in daily stand-ups, mentoring sessions, and pair programmingYou are a good fit if you:Worked asynchronously as part of a fully remote, international, distributed teamHave experience using Python or Go to create scalable full-stack applications (e.g., building services for applications with complex workflows)Enjoy collaborating closely with product management partnersHave worked with Large Language Models (LLMs) in the pastValue interacting with end-users and deeply understanding their needsCan make informed trade-offs to ship useful features promptly without compromising long-term qualityLove backend work but have frontend experience and can reason about end-to-end systemsYou'll have an edge if you have:Experience with distributed systems, database modeling, caching layers and/or DB performanceWorked with the Semantic LayerQualifications:8+ years of experience as a software engineerMinimum requirement of bachelor's degree in a related field (computer science, computer engineering, etc.) OR completed enrollment in an engineering-related bootcampSalary: 400,000 - 541,000 BRL per yearEquity StakeBenefits (via Remote.com):Unlimited vacation (and yes we use it!)Paid Parental LeaveWellness stipendHome office stipend, and more!What to expect in the hiring process:An introductory call with a member of our Talent teamA technical screen and meeting with the Hiring ManagerA coding interview conducted in a collaborative, pair programming formatA panel interview including multiple members of the Engineering TeamA final interview with a member of our Engineering Leadership TeamWho we areAt dbt Labs, we have developed strong opinions on how companies should practice analytics. Specifically, we believe that:Code-based transformations offer unmatched flexibility and transparency across various "multi-player" development to power everyone in the organization to collaborate on a common languageData analysts should adopt similar practices and tools to software developersCritical analytics infrastructure should be controlled by its users as open source softwareAnalytic code itself—not just analytics tools—will increasingly be open sourceIt turns out that a lot of other people believe this too! Today, there are 30,000 companies using dbt every week, 100,000 dbt Community members, and 4,100 companies paying for dbt Cloud. Our customers include JetBlue, Hubspot, Vodafone New Zealand, and Dunelm. dbt is synonymous with the practice of analytics engineering, defining an entire industry. We're backed by top investors including Andreessen Horowitz, Sequoia Capital, and Altimeter.dbt Labs is an equal opportunity employer. We're committed to building an inclusive team that welcomes a diversity of perspectives, people, and backgrounds regardless of race, color, national origin, gender, sexual orientation, age, religion, disability, citizenship, veteran status, or any other protected status. We feel strongly that whether or not your experience exactly fits the job description, your passion and skills will stand out and set you apart even if your career has taken some twists and turns. If you are on the fence about whether you meet our requirements, we encourage you to apply anyway!
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