Data Engineer

SpotifyRemote - New York, NY$152k – $190k5d ago

Remote NA Cloud Computing Oil & Gas Data Engineer Fellow Forester SQL Java Python Scala Snowflake

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Requirements

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.
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
You have experience with marketing technology ecosystems (attribution platforms, CDPs, ad platforms) is a bonus.
This role is based in New York.
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.

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.