Google Cloud Data Engineer

Responsibilities

• 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, LOB, and individual site reporting.
• Orchestrate ETL and reverse ETL workflows. You will build pipelines that aggregate data from varied sources (like Iterable and GA4) into cohesive warehouses and lakes. You will manage data flow orchestration and transformation to keep systems in sync.
• What you will achieve:
• Week 1: You will hit the ground running, seamlessly integrating with our project team to audit existing analytics setups. You'll immediately begin structuring foundational GA4 properties and GTM configurations, establishing a reliable baseline for data collection on your first assigned client site.
• Team Impact: You will have introduced advanced SQL standards, data modeling best practices, and pipeline orchestration frameworks that fill critical technical gaps, leaving a lasting mark on how our agency handles data workflow.
• Career Growth: You will have established yourself as a trusted advisor to both internal leadership and external clients, with opportunities to influence the agency's broader technical direction and mentor the next generation of data engineers.
• About you:
• You are an advanced data modeler and SQL expert. You don't just move data; you structure it for maximum impact. You possess advanced knowledge of SQL and are highly capable of transforming messy, multi-source data into clean, logical semantic models.
• You have deep Cloud Infrastructure capabilities. You are a specialist within the Google Cloud Platform ecosystem. You know exactly how to leverage BigQuery, Cloud Functions, and Pub/Sub to build scalable, automated architectures.
• You are a master of the modern analytics stack. You

Benefits

Additional Information

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.

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