Google Cloud Data Engineer

Remote Apply Location: Remote — US and Canada (Open to applicants located anywhere within the US and Canada) Fueled is a leading digital strategy, design, and engineering agency. We are a 300+ person team that has designed and built hundreds of digital products and experiences for brands like Google, Apple, The New York Times, ESPN, Victoria’s Secret, MGM Resorts, Albertsons, and CLEAR. As an Data Engineer at Fueled, you will drive the technical vision for complex data pipelines, bridging the gap between marketing strategy and data architecture. You will translate ambitious analytics requirements into scalable, secure, and automated data workflows, leveraging your deep understanding of the Google Cloud Platform, ETL processes, and modern data modeling. You will lead the implementation of end-to-end analytics frameworks – from initial data ingestion in GA4 to complex transformations in BigQuery, and ultimately to consumption in Looker. By managing cloud infrastructure, orchestrating data flows, and defining data models, your expertise will turn raw user behavior into robust, unified insights that power digital solutions and lifecycle marketing for global brands. Intentionally remote and globally distributed across six continents, our team thrives in a culture that values flexibility, creativity, and cutting-edge technology. Together, we’re shaping the future of digital experiences.

What you will do:

• Implement robust data ingestion strategies. You will create and configure GA4 properties across multiple sites and lines of business (LOBs). Utilizing Google Tag Manager (GTM), you will define and deploy standard and custom events, establishing triggers and parameters while executing real-time QA to ensure flawless data collection.
• Architect cloud storage and data pipelines. You will build and manage scalable data environments on the Google Cloud Platform using BigQuery, Cloud Functions, and Pub/Sub. You will configure GA4-to-BigQuery exports, ensure reliable data ingestion, and strictly manage IAM and service account permissions for secure access.
• Drive data consumption and visualization. You will bridge BigQuery and Looker, writing LookML to define semantic models that structure complex raw data into reusable views and metrics. You’ll develop standardized dashboards that support comprehensive global,...