Job description
We’re looking for an experienced Data Engineer with a strong data/ETL backbone to help shape the core datasets that power how we understand our business. You’ll join a tight‑knit crew of analytics/data engineers, building robust, scalable pipelines and data models within a very large data ecosystem. You’ll collaborate with data producers and consumers company‑wide and co‑own the technical architecture and roadmap of our data platform. We lean heavily on Scio (the Scala API for Apache Beam), BigQuery and dbt to solve big, complex data problems across domains—and you’ll be at the center of it.
You’ll help define the datasets and models that inform high impact business decisions across our verticals, shaping how we understand subscriber behavior and content performance. Your work will make data easy to trust, easy to find, and easy to use.
What You’ll Do
- Build, own, and operate pipelines that generate foundational datasets used by hundreds of downstream users at Spotify.
- Evolve the end‑to‑end technical architecture of our data platform—driving decisions on modeling, orchestration, reliability, and cost.
- Design new, trustworthy datasets from a complex upstream ecosystem—partnering closely with other data/analytics engineers and data scientists to define clear contracts and representations.
- Raise the bar on engineering practices: CI/CD, automated testing, data quality checks, optimization, observability, documentation, and discoverability.
- Mentor teammates—sharing context, actively reviewing code and designs, and helping the team grow its technical depth.
Who You Are
- 3+ years of hands‑on data, insight, or analytics engineering experience, with proficiency in Scala or Java.
- Comfortable working in cross‑functional teams with Data Engineers and Data Scientists.
- Practical experience with hands-on data processing frameworks (e.g., Apache Beam or MapReduce).
- Strong SQL fundamentals and experience with cloud data warehouses—ideally BigQuery—for data validation, exploration, and distribution to analytics teams.
- Collaborative, low‑ego, and invested in helping peers level up. You care about reliable pipelines, clear models, and measurable impact.
Where You’ll Be
- This role can be based in New York City OR Stockholm
- 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.
The United States base range for this position is $125,562 - 179,374, 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. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future.
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.
