Google Cloud Data Engineer
Fueled
Job Overview
Location
Remote
Employment Type
Contract
Work Arrangement
Remote
Sector
Information Technology & Software
Experience Level
Mid-level (3-5 years)
Application Deadline
April 28, 2026
About the Company
Job Description
Fueled is seeking a skilled Google Cloud Data Engineer to join our globally distributed, remote team. This role is pivotal in driving the technical vision for complex data pipelines, connecting marketing strategy with sophisticated data architecture.
You will be responsible for translating ambitious analytics requirements into scalable, secure, and automated data workflows. This involves leveraging your deep understanding of the Google Cloud Platform, ETL processes, and modern data modeling techniques to build end-to-end analytics frameworks.
Key responsibilities include implementing robust data ingestion strategies using GA4 and Google Tag Manager, architecting cloud storage and data pipelines on GCP with BigQuery, Cloud Functions, and Pub/Sub, and driving data consumption and visualization through Looker and LookML.
You will also orchestrate ETL and reverse ETL workflows, aggregating data from various sources, and enable lifecycle marketing and experimentation by building the necessary data foundations for identity resolution and audience syncing.
To apply for this role, click the Apply button on this page and follow the instructions.
Required Skills
Key Responsibilities
- Implement robust data ingestion strategies, creating and configuring GA4 properties and utilizing Google Tag Manager (GTM) for event definition and deployment.
- Architect scalable cloud storage and data pipelines on the Google Cloud Platform using BigQuery, Cloud Functions, and Pub/Sub, including configuring GA4-to-BigQuery exports and managing IAM permissions.
- Drive data consumption and visualization by bridging BigQuery and Looker, writing LookML to define semantic models and developing standardized dashboards for reporting.
- Orchestrate ETL and reverse ETL workflows, aggregating data from varied sources into cohesive warehouses and lakes, and managing data flow orchestration and transformation.
- Enable lifecycle marketing and experimentation by establishing identity resolution and audience syncing capabilities through Customer Data Platforms (CDPs) and building data foundations for experimentation initiatives.
Qualifications
- Advanced data modeling and SQL expertise, capable of transforming multi-source data into clean, logical semantic models.
- Deep Cloud Infrastructure capabilities, with specialization in the Google Cloud Platform ecosystem (BigQuery, Cloud Functions, Pub/Sub).
- Mastery of the modern analytics stack, including GA4, GTM, and Looker/LookML for capturing, storing, and visualizing user behavior.
- Hands-on experience with the lifecycle marketing ecosystem, including Identity Resolution, audience syncing, and CDP integrations.
- Rigorous attention to detail in QA and validation to ensure data integrity and accuracy.
Benefits & Perks
- Opportunity to work with leading global brands.
- Flexible, remote work environment.
- Culture valuing creativity and cutting-edge technology.
- Potential for transition into full-time roles.
- Access to project invitations tailored to expertise and availability.
How to Apply
Add jobs@fueled.com to your contacts list to ensure you receive application updates.
Join Our Communities
The digital strategy, design, and engineering sector is experiencing significant growth, driven by the demand for sophisticated data solutions. As a Data Engineer at Fueled, you will architect and implement scalable data pipelines, bridging marketing strategy with robust data architecture. Your expertise in Google Cloud Platform, ETL processes, and modern data modeling will be crucial. You will translate complex analytics requirements into automated data workflows, impacting business ROI through unified insights and powering digital solutions for global brands.
Posted Date
April 13, 2026
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