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

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

Data Engineer – Subscriptions

Key skills