Role overview
We’re looking for an Analytics Engineer with a deep SQL/analytics toolkit to shape the analytics data layer that powers our Data Science environment. You’ll join a tight‑knit crew of analytics and data engineers, building robust, scalable models and pipelines in BigQuery and dbt across a huge and diverse data landscape. You’ll partner closely with Data Scientists, Data Engineers, and product teams to define clean data contracts, standardize metrics, and make trusted data easy to find and use.
Join the band that turns billions of events into insight.
What you'll work on
Who You Are
- 2+ years of professional experience analyzing complex data with SQL and Python.
- A demonstrable track record of contributing to analytics solutions for Data Science teams; you turn open-ended goals into scoped, actionable plans.
- Significant ETL/ELT experience with very large and complex datasets, including managing DAG dependencies (e.g., Airflow, Dagster, or similar).
- Deep competency with SQL on distributed/data-lake systems (e.g., BigQuery, Presto, Spark/Hive SQL), including nested data handling, window functions, query tuning, and partitioning strategies.
- 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Tags & focus areas
Used for matching and alerts on DevFound Strategy Non Tech Stats Engineer Python Spark Airflow Fulltime