Google Cloud Lead Data Engineer @Fueled
Data and Analytics
Salary unspecified
Remote Location
Employment Type full-time
Posted 2wks ago

[Hiring] Google Cloud Lead Data Engineer @Fueled

2wks ago - Fueled is hiring a remote Google Cloud Lead Data Engineer. πŸ’Έ Salary: unspecified πŸ“Location: Latin America (LATAM)

Role Description

As a Lead Data Engineer at Fueled, you own the warehouses behind our clients' marketing analytics. GA4 exports, marketing platform APIs, and CMS content land in BigQuery, Dataform models them, and Looker Studio dashboards sit on top. When you hand over a warehouse, the client's team should be able to trust it and run it.

Most of the work happens inside a client's Google Cloud project, using the access they grant. You work on a fixed budget with a project manager and strategists. You write the Python that pulls the data and the SQL that shapes it, and you also write the runbook and answer the client when they ask why a number changed.

Intentionally remote, our team thrives in a culture that values flexibility, creativity, and cutting-edge technology. For engineers in Latin America, that means real-time collaboration with US-based teams during your normal working day, compensation in USD, and a seat at the table on projects for globally recognized brands – all from wherever you work best. Together, we're shaping the future of digital experiences.

What you will do:

  • Lead the data engineering on client engagements that bring marketing and product data into BigQuery.
  • Own the design from the raw landing tables to the views a dashboard reads, and mentor Fueled engineers moving into data work.
  • Build and operate Dataform projects, from clean layers and analytical views through assertions, scheduled runs, and promotion from development to production across GCP projects.
  • Map GA4 events and parameters to the KPIs a report needs, and find the cause and fix it in the model when a dashboard disagrees with its source.
  • Write and maintain Python ingestion services on Cloud Run that pull from rate-limited APIs, with watermarks, backfills, and recovery for missed days built in from the start.
  • Set up what keeps a warehouse running after we hand it over, including IAM for service accounts, Cloud Monitoring alerts, cost controls, and runbooks.
  • Work as part of a project team, providing estimates and early warnings when they change, and explain technical decisions to non-engineers.

What you will achieve:

  • Take over a live client warehouse and document where every piece lives: code, container images, buckets, secrets, and service accounts.
  • Ship your first production change through Dataform with assertions and a scheduled run.
  • Reconcile discrepancies between dashboards and GA4 within the same week.
  • By month three, ensure clients have runbooks their engineers can use without calling us.
  • Lead the data engineering on a new engagement from discovery through handover, on budget, with the client's data team signing off on the design.
  • Build a portfolio of enterprise-grade work, sharpen skills, and receive a standing invitation for future collaboration by the end of your contract.

Qualifications

  • Experience shipping Dataform or dbt on BigQuery in production, with assertions and scheduled runs.
  • Familiarity with the GA4 BigQuery export schema before and after flattening.
  • Experience writing and owning Python data pipelines in production.
  • Comfortable at the IAM level: custom runner service accounts, impersonation, and promotion across GCP projects.
  • Experience with Looker Studio or Looker on BigQuery through a service account.
  • Ability to trace one metric from a GA4 event parameter to a dashboard tile.
  • Team-oriented, with experience working with project managers, strategists, and client stakeholders.
  • Proven ability to estimate honestly, flag changes early, and deliver within a fixed budget.
  • Experience inheriting someone else's cloud project and improving documentation.

Contractor Fee

Compensation is determined based on a variety of factors including relevant experience, projects, geographic location, and business needs.

Join our Contractor Pool

This role is designed as a contract position, offering you the opportunity to experience our team and culture while showcasing your contributions. When the fit and business needs align, some contractors are invited to explore a transition into full-time roles.

If you are passionate about Fueled’s mission and think you have what it takes to be successful in this role, even if you don’t check all the boxes – please apply. We’d appreciate the opportunity to review your application. Everyone gets a response.

Upon meeting the necessary criteria, you’ll join the Fueled contractor network, granting you access to project invitations tailored to your expertise and availability when they arise.

We don't want you to miss any communication from us! To ensure you receive updates on your application, please add [email protected] to your contacts list!

Before You Apply
️
remote Be aware of the location restriction for this remote position: Latin America (LATAM)
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Google Cloud Lead Data Engineer @Fueled
Data and Analytics
Salary unspecified
Remote Location
Employment Type full-time
Posted 2wks ago
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Apply for this position
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