Data Engineer

• 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.