Google Cloud Data Engineer

Fueled

. Create and configure GA4 properties across multiple sites and lines of business .

Posted 9/18/2026contractRemoteMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced expertise in SQL, data modeling, and the Google Cloud Platform ecosystem, with a strong focus on building scalable data environments and orchestrating ETL processes. Proficient in configuring GA4 properties, managing data quality assurance, and mentoring data engineers.

Highest-signal resume keywords

Advanced SQL KnowledgeGoogle Cloud Platform ExpertiseBigQuery ExperienceGA4 and Google Tag Manager FamiliarityETL and Reverse ETL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData ModelingGA4 ConfigurationETL PipelinesLookML DevelopmentData Quality AssuranceAudience SyncingIdentity ResolutionGoogle Tag ManagerCloud Functions

Soft Skills

MentoringAdvising Leadership

Tools & Technologies

Google CloudBigQueryPub/SubLookerCustomer Data Platform

Industry Keywords

Data EcosystemsData LakesData WarehousesReal-Time Event DataIAM Management

Tech Stack

Tools & technologies

BigQueryCloudETLGoogle Cloud PlatformSQL

About the role

Key responsibilities & impact

Create and configure GA4 properties across multiple sites and lines of business
Define and deploy standard and custom events, triggers, and parameters using Google Tag Manager
Execute real-time quality assurance for data collection
Build and manage scalable Google Cloud data environments using BigQuery, Cloud Functions, and Pub/Sub
Configure GA4-to-BigQuery exports and manage secure IAM and service account permissions
Write LookML semantic models and develop standardized Looker dashboards
Build and orchestrate ETL and reverse ETL pipelines using sources such as Iterable and GA4
Establish identity resolution and audience syncing capabilities through CDP integrations
Support SEO/GEO discoverability and experimentation initiatives
Audit existing analytics setups and deliver end-to-end data ecosystems for global brands
Introduce SQL standards, data modeling best practices, and pipeline orchestration frameworks
Advise internal leadership and external clients and mentor data engineers

Requirements

What you’ll need

Advanced knowledge of SQL and strong data modeling capabilities
Specialist-level experience with the Google Cloud Platform ecosystem
Experience with BigQuery, Cloud Functions, and Pub/Sub
Familiarity with GA4, Google Tag Manager, and Looker/LookML
Hands-on experience with identity resolution, audience syncing, and Customer Data Platform integrations
Experience with data lakes, data warehouses, ETL, and reverse ETL
Strong data quality assurance and validation capabilities
Ability to work with real-time event data and manage IAM and service account permissions

Benefits

Comp & perks

Remote work arrangement
Opportunity to experience Fueled’s team and culture as a contractor
Potential transition to a full-time role when fit and business needs align
Access to project invitations tailored to expertise and availability after joining the contractor network