Join the Artist-First AI Music lab to build and maintain large-scale distributed data pipelines (Scio/Dataflow), improve data quality via CI/CD, collaborate with cross-functional teams, and support generative-music products using BigQuery and other GCP tooling.
We are seeking Data Engineers to join our Artist-First AI Music lab. Our team designs and builds state-of-the-art generative products for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles:
Partnerships with record labels, distributors, and music publishers: We’ll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.
Choice in participation: We recognize there’s a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.
Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions.
Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections.
What You'll Do
- Build and maintain large-scale data pipelines, including ML pipelines, with data processing frameworks like Scio and Python-based tools on Google Cloud Platform.
- Leverage data engineering best practices in continuous integration and delivery.
- Help drive optimization, testing and tooling to improve data quality and reliability.
- Collaborate with engineers, product managers, subject matter experts, and stakeholders while taking on learning and leadership opportunities that arise every day.
- Work in cross-functional, agile teams to continuously experiment, iterate, and deliver on new product objectives.
Who You Are
- You have at least 3+ years of professional experience working in a product-driven environment.
- You have experience working with high-volume, heterogeneous data using distributed systems and big data technologies such as Python, Scala (e.g., Scio), Ray, Apache Spark, or similar frameworks used for distributed data processing.
- You are proficient in designing and building distributed data pipelines in Python, Scala, or Java, with experience in frameworks like Scio on platforms such as Dataflow.
- You understand data modeling, data access, and data storage techniques, and can apply them to both batch and analytical processing (e.g., using BigQuery for analysis).
- You value iterative software processes, data-driven development, reliability, and responsible experimentation, with attention to cost efficiency and best practices in data engineering.
- You thrive in collaborative environments and enjoy working with cross-functional teams.
- You are a creative problem solver who is passionate about building outstanding products that add real value to millions of people.
- You are enthusiastic about learning more about turning research ideas into products operating at scale
Where You'll Be
- We offer you the flexibility to work where you work best! For this role, you can be within the Eastern United States region as long as we have a work location.
- This team operates within the EST time zone for collaboration.
The United States base range for this position is $125,300 - $179,000 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.
Top Skills
Spark
BigQuery
Continuous Delivery
Continuous Integration
Dataflow
Google Cloud Platform
Java
Scala
Scio
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