Google Cloud Data Engineer

fueledcareers; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Remote LATAM work

Contractor network

Job summary

FueledCareers is seeking a contract data analytics engineer to build and guide cloud-based analytics systems, turning digital behavior into actionable insights. The role covers the full data lifecycle from event collection to warehouse modeling, visualization, and experimentation.

The position is remote and open to applicants located anywhere in Latin America. You will configure analytics properties, design Google Cloud data environments, connect exports to warehouses, build Looker metrics, and

Qualifications

• Advanced SQL and multi-source data modeling experience.
• Hands-on Google Cloud, BigQuery, Cloud Functions, Pub/Sub.
• Experience with GA4, Google Tag Manager, Looker, LookML.
• Knowledge of data lakes, warehouses, ETL and data platform integrations.
• Strong data quality, monitoring, and documentation.

Responsibilities

• Configure analytics properties and tagging plans across websites and lines of business.
• Design and maintain scalable Google Cloud data environments using BigQuery, Cloud Functions, Pub/Sub.
• Connect analytics exports to cloud warehouses and manage IAM roles & service accounts.
• Create semantic models and reusable metrics in Looker/LookML for global reporting.
• Develop ETL and reverse ETL workflows across sources like web analytics and engagement platforms.
• Support identity resolution, audience sync, lifecycle marketing, and experimentation programs.

Skills

Advanced SQL

Looker/LookML

GA4 experience

Google Cloud BigQuery

Data modeling

ETL/ELT

Tools

BigQuery

Cloud Functions

Pub/Sub

Looker

LookML

GA4

Google Tag Manager

Job description

Role overview

Build and guide cloud-based analytics systems that turn digital behavior into reliable, actionable insight. This contract role covers the full data lifecycle, from event collection and ingestion through warehouse modeling, visualization, lifecycle marketing, and experimentation. The position is remote and open to applicants located anywhere in Latin America.

Responsibilities

• Configure analytics properties and tagging plans across multiple websites and business lines, including standard and custom events, triggers, parameters, and real-time validation.
• Design and maintain scalable Google Cloud data environments using BigQuery, Cloud Functions, Pub/Sub, and related access controls.
• Connect analytics exports to cloud warehouses and manage IAM roles, service accounts, and secure data access.
• Create semantic models and reusable metrics in Looker/LookML, supporting reporting at global, business-line, and individual-site levels.
• Develop ETL and reverse ETL workflows that combine sources such as web analytics and customer-engagement platforms.
• Support identity resolution, audience synchronization, lifecycle marketing, discoverability initiatives, and experimentation programs.

Requirements

• Advanced SQL skills and strong experience shaping complex, multi-source data into clean analytical models.
• Deep practical knowledge of Google Cloud services, particularly BigQuery, Cloud Functions, and Pub/Sub.
• Hands‑on experience with GA4, Google Tag Manager, Looker, and LookML.
• Understanding of data lakes, warehouses, orchestration, ETL, reverse ETL, and customer data platform integrations.
• Strong data-quality discipline, including event validation, pipeline monitoring, warehouse checks, and documentation.
• Ability to work independently with distributed teams and translate analytics needs into durable technical solutions.

Benefits and work setup

• Contract engagement with access to a project-based contractor network.
• Remote work within Latin America.
• Some contractors may be considered for future full-time opportunities when business needs and performance align.