Data Engineer - Subscriptions

Spotify•New York, NY

21h•Hybrid

About The Position

As an Engineer in the Subscriptions mission, you’ll help build and operate the systems that power Spotify’s paid media measurement, attribution, and audience targeting. You’ll work on production systems that process marketing data at scale, enabling teams to understand performance, optimize spend, and reach the right audiences. You’ll join a multi-functional squad, a multi-functional team at the intersection of engineering, marketing, product, and analytics, focused on finding future listeners and driving sustainable growth across Spotify’s Free and Premium offerings. In this role, you’ll contribute to global-scale data pipelines and integrations that support high-impact campaigns like Wrapped and help marketing teams make smarter decisions about where and how to invest. This is a hands-on role for someone excited to work on real production systems and see their work directly shape how Spotify grows.

Requirements

You have solid experience building and maintaining production data pipelines and systems
You’re familiar with development and deployment within cloud environments (ideally GCP)
You’re fluent in SQL and at least one programming language (Python, Java, or Scala), with experience using cloud data warehouses like BigQuery, Snowflake, or Redshift
You understand batch and streaming data processing, ETL/ELT patterns, and data modeling fundamentals
You care deeply about data quality, system reliability, and building systems downstream users can trust
You value strong engineering practices, including testing, monitoring, and maintainable code
You’re comfortable incorporating GenAI tools like Claude into your development workflow
You’re comfortable working in an agile, product-oriented environment and collaborating across engineering, product, analytics, and marketing
You’re pragmatic, hands-on, and able to balance delivery speed with long-term quality
You thrive in ambiguous and fast-changing environments, and know how to make progress even when requirements are evolving

Nice To Haves

You have experience with marketing technology ecosystems (attribution platforms, CDPs, ad platforms) is a bonus.

Responsibilities

Build and operate data pipelines that power paid media attribution, audience targeting, and campaign measurement across global marketing platforms.
Build and operate batch and real-time data pipelines on Google Cloud Platform that process billions of marketing and user events daily at global scale.
Partner with marketing, analytics, and product teams to instrument data collection, translate requirements, and ensure data quality while operating within legal and regulatory constraints.
Contribute to integrations with external marketing platforms, supporting reliable audience delivery and suppression workflows.
Monitor and improve production systems, strengthening reliability, observability, and operational readiness.
Work within a cross-functional, agile squad to build and own data systems end to end, partnering with marketing, analytics, and insights teams to create solutions aligned with business priorities.
Collaborate with fellow engineers to design, build, and operate data systems, while contributing to shared standards, tooling, and continuous improvements in how the team works.