Google Cloud Data Engineer

Fueled
Latin America
Workplace: RemoteContractFunction: Data Analytics & Business IntelligenceSkills: ["Data modeling","SQL expertise","Attention to detail","Data quality assurance","Mentorship"]

Drive the technical vision for end-to-end marketing data pipelines, translating analytics requirements into scalable, automated workflows on Google Cloud. Build and manage GA4 ingestion, BigQuery transformations, and orchestration for ETL/reverse ETL, while ensuring secure IAM access and rigorous real-time QA. Define semantic models in Looker/LookML for unified reporting, and enable lifecycle marketing via CDP integrations, identity resolution, and audience syncing.

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FursaFursa
Fueled
Fueled
5 hours ago

Google Cloud Data Engineer

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Last checked: 1 hour agoStatus: Live

Job Summary

Drive the technical vision for end-to-end marketing data pipelines, translating analytics requirements into scalable, automated workflows on Google Cloud. Build and manage GA4 ingestion, BigQuery transformations, and orchestration for ETL/reverse ETL, while ensuring secure IAM access and rigorous real-time QA. Define semantic models in Looker/LookML for unified reporting, and enable lifecycle marketing via CDP integrations, identity resolution, and audience syncing.
Location: Latin America
Workplace: Remote
Employment Type: Contract
Job Function: Data Analytics & Business Intelligence

Key Responsibilities

  • •Implement robust data ingestion, including GA4 property setup, GTM standard/custom event configuration, and real-time QA for data collection.
  • •Architect secure cloud storage and data pipelines on Google Cloud, including BigQuery exports and strict IAM/service-account permissions.
  • •Drive data consumption and visualization by connecting BigQuery to Looker and writing LookML semantic models for reusable metrics.
  • •Orchestrate ETL and reverse ETL workflows to aggregate and transform data from sources such as Iterable and GA4 into unified warehouses and lakes.
  • •Enable lifecycle marketing and experimentation via CDP integrations, identity resolution, audience syncing, and data foundations for SEO/GEO and experimentation initiatives.

Key Requirements

  • •Advanced data modeling and strong SQL expertise to transform multi-source data into clean semantic models.
  • •Deep expertise in Google Cloud Platform, including BigQuery, Cloud Functions, and Pub/Sub.
  • •Hands-on familiarity with the marketing analytics stack, including GA4, GTM, and Looker/LookML.
  • •Experience with lifecycle marketing data, including identity resolution, audience syncing, and CDP integrations.
  • •Strong data quality discipline with real-time QA/validation to ensure event and BigQuery data integrity.
Skills:Data modelingSQL expertiseAttention to detailData quality assuranceMentorship
Languages:English
Tech Stack:Google Cloud PlatformBigQueryCloud FunctionsPub/SubGA4Google Tag ManagerGTMLookerLookMLSQLETLReverse ETLIAMService accountsIterableCustomer Data PlatformsCDPIdentity resolutionAudience syncingData lakes

Company Brief

Fueled
Designs and builds digital products, mobile apps, and web experiences for startups and enterprises, offering product strategy, design, and engineering services to help companies launch and scale customer-facing technology.
Industry: Professional Services
Company Size: Medium (51 to 250 employees)
Growth: Established Company
Funding: Bootstrapped
Headquarters: New York, United States
Founded: 2007
WebsiteLinkedIn