Full Stack Software Engineer I, Analytics Platform

Spotify; Toronto; Hybrid; CAD 80,000 - 120,000; Full time

Job summary

A leading audio streaming service in Toronto is seeking a Full Stack Engineer to develop an in-house analytics platform. The role offers flexibility to work from home, with some in-person meetings. Candidates should be proficient in Go, Python, Java, or Node.js, and have a passion for enhancing Data Science and Machine Learning products. Collaboration and good communication skills are essential for this team-oriented position.

Qualifications

• Care about testing and monitoring for system health and stability.
• Passionate about Data Science and Machine Learning user experience.

Responsibilities

• Develop Spotify’s in-house analytics platform.
• Be a valued member of an autonomous, multi-functional agile team.
• Build and improve features for data discovery and artifact sharing.

Skills

Proficient in any one of Go, Python, Java, or Node.js

Experience in Python environments and package dependency management

Interest in learning or experience with Kubernetes or Docker

Curious problem-solver with excellent communication skills

Job description

Overview

We are looking for a Full Stack Engineer to join our team of hardworking and talented engineers building the next set of integrated data science and machine learning tools. By joining the Analytics Platform organization, you’ll be a key contributor in making the systems that power our analytics, insights, and machine learning efforts more reliable and effective. You will work on products that touch thousands of Spotifiers, and by extension, millions of Spotify listeners.

What You'll Do

• Develop Spotify’s in-house analytics platform - built on top of cloud infrastructure, open source tooling, and custom integrations
• Be a valued member of an autonomous, multi-functional agile team
• Build and improve features for data discovery, code generation, and artifact sharing
• Continue the build out of key infrastructure and environments for analytics data processing
• Share knowledge, promote best practices, and collaborate with teams working on groundbreaking Data Science and Machine Learning problems
• Work on a team of experienced engineers and a diverse tech stack covering core infrastructure all the way to front end applications

Who You Are

• Proficient in any one of the following languages: Go, Python, Java, or Node.js
• Have experience working in and supporting Python environments and package dependency management
• Interested in becoming a domain expert in infrastructure while traversing the entire stack
• Interest in learning or experience with Kubernetes or Docker
• Interest in learning or experience with agentic workflows
• Care deeply about testing and monitoring to ensure systems stay healthy and stable
• A curious problem-solver with excellent communication skills, working best in a collaborative environment
• Passionate about the Data Science and Machine Learning user experience and want to accelerate the Data Science and Machine Learning products at Spotify

Where You'll Be

• This role is based in Toronto.
• We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask that you come in 3 times per week.

Equal Opportunity

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking. So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.