Remote LATAM Lead Data Engineer - Google Cloud & BigQuery

10up, Inc.; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Contractor pool

Remote work

Job summary

Fueled is seeking a Google Cloud Lead Data Engineer to own client data warehouses in a remote LATAM setup. You will design, implement, and mentor teams on GA4 exports, BigQuery models, Dataform projects, and Looker Studio dashboards.

You will write Python ingestion services, manage IAM and monitoring, and collaborate with US-based teams on budgeted engagements, delivering reliable, scalable data solutions for renowned brands.

Qualifications

• Experience shipping Dataform or dbt on BigQuery in production.
• Written Python data pipelines for API ingestion with rate limits and backfills.
• Strong knowledge of GA4 exports and BigQuery data models.

Responsibilities

• Lead data engineering on client engagements in BigQuery and Dataform pipelines.
• Build and operate Dataform projects across GCP, including production-grade models and dashboards.
• Develop Python ingestion services on Cloud Run with reliable backfills and error handling.
• Set up IAM, monitoring, and runbooks in the client’s GCP tenancy.
• Explain technical decisions to non-engineers and defend estimates with stakeholders.

Skills

BigQuery

Dataform/dbt

Python

GA4 exports

Looker Studio

APIs

SQL

IAM

Mentoring

Tools

Dataform

dbt

Looker Studio

Cloud Run

Job description

Fueled is seeking a Google Cloud Lead Data Engineer to own client data warehouses in a remote LATAM setup. You will design, implement, and mentor teams on GA4 exports, BigQuery models, Dataform projects, and Looker Studio dashboards.

You will write Python ingestion services, manage IAM and monitoring, and collaborate with US-based teams on budgeted engagements, delivering reliable, scalable data solutions for renowned brands.