About The Opportunity

We're looking for a Full Stack Engineer to join our team within the Analytics Platform product area. Our team builds the foundational infrastructure and intelligence layer that powers data science work at Spotify, from interactive querying environments and managed coding infrastructure, to the knowledge graph that makes AI reliable and trustworthy.

We serve a rapidly expanding set of users: specialist data scientists doing deep analytical work, product builders running experiments, and increasingly, AI agents that need the right context and guardrails to work effectively with data. As this landscape shifts, our capabilities are evolving from developer-facing tools into a shared substrate for humans and agents alike.

Responsibilities

• Build and maintain full-stack capabilities across Python/Java services and data pipeline integrations on the backend, to React/TypeScript interfaces on the frontend.
• Design and ship features that meaningfully improve how data scientists, analysts, and product builders do their work across interactive querying, managed environments, insight creation, and data discovery.
• Contribute to the evolution of our analytics stack for AI-era data science: supporting Claude Code integrations, MCP-based tooling, and agentic workflows.
• Participate actively in technical design, architecture decisions, and code reviews.
• Collaborate with data scientists, product managers, and partner teams to understand user needs deeply and translate them into high-quality technical solutions.
• Help the team stay ahead of a fast-moving AI landscape: evaluate emerging tooling and patterns, and build things that age well as the ecosystem evolves.
• Maintain and improve the reliability, scalability, and developer experience of the infrastructure thousands of Spotifiers depend on every day.

Required Qualifications

• You have solid professional software engineering experience, with demonstrated depth in both backend and frontend development.
• You're comfortable across the stack: backend services (Python or JVM strongly preferred), frontend React/TypeScript, and at least some experience with data infrastructure (BigQuery, Notebooks).
• You've built internal tools, developer platforms, or analytics surfaces before, and you understand what makes a good developer experience.
• You have strong engineering fundamentals: you think carefully about APIs, data models, system design, and making the right tradeoffs between simplicity and capability.
• You care about craft. You write code that's readable, tested, and maintainable — and you hold yourself and others to that standard.
• You’ve developed solutions for AI-native teams. You're already using LLM-native tooling in your development workflow. You have opinions about how AI changes the way data teams should work, and you're excited to build for that future.
• You're a strong communicator who can engage directly with technically sophisticated users, surface ambiguity early, and work collaboratively across functions.

Avenue Code discloses salary range information based on our commitment to fairness and transparency. We consider a wide range of factors such as internal equity, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, business or organizational needs, and others. At Avenue Code, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for a Full-Stack is from $100k to $103k yearly.

Avenue Code reinforces its commitment to privacy and to all the principles guaranteed by the most accurate global data protection laws, such as GDPR, LGPD, CCPA and CPRA. The Candidate data shared with Avenue Code will be kept confidential and will not be transmitted to disinterested third parties, nor will it be used for purposes other than the application for open positions. As a Consultancy company, Avenue Code may share your information with its clients and other Companies from the CompassUol Group to which Avenue Code’s consultants are allocated to perform its services.