Join us at Spotify, where our data platform supports 8,000+ employees in making informed decisions behind the scenes and fuels over 600 million Monthly Active Users’ Discover Weekly. Our platform is essential to our company’s decision-making DNA and drives our mission to bring audio to the entire world. We handle over 2 petabytes of data daily, maintaining and advancing the platform to offer developers and data practitioners an exceptional experience.
Imagine your daily commute with headphones on, eager to open Spotify, only to find your Daylist hasn’t refreshed since yesterday. Yeah, we don’t want that version of the platform either! We’re seeking a new team member to enhance our data platform’s observability, reliability, and quality tooling stack where you’ll contribute to directly improving our internal developer experience for data engineers and practitioners.
While our team’s day to day consists of writing and maintaining backend and frontend services, and data pipelines that serve thousands of data practitioners, having a strong understanding of users' day-to-day—writing and operating data pipelines, maintaining awareness of upstreams and downstreams, ensuring quality of their data, and more—is paramount.
\n- Join a team known for its respectful, playful, and collaborative culture.
- Participate in scaling systems and interacting with engineers, leaders, and stakeholders.
- Contribute to the platform's vision for data observability and define our quarterly, annual, and multi-year milestones alongside leadership?
- Engage in hack days, hack weeks, and community events to learn and share your expertise.
- You excel in breaking down complex technical problems and iterating quickly in an environment where engineers are empowered to take ownership of solutions from ideation to production.
- Your experience includes shipping high-impact code and contributing to data platform or developer experience projects.
- You have strong skills in Java and TypeScript, and a solid understanding of systems design, data structures, and algorithms.
- Experience in Scala and collaborating with data engineers is a plus.
- You enjoy working with customers, open-source communities, and internal teams to build robust solutions and foster relationships.
- Where in the world? This position is based in the NYC Metro area
- Working hours? We operate within the Eastern Standard Time zone for collaboration.
The United States base range for this position is $122,716 - $175,308, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future.
