远程工作雷达

Google云负责人数据工程师

Google Cloud Lead Data Engineer

开发工程市场运营限定地区(需当地身份)与中国几乎无重叠,需长期倒时差
公司Fueled
薪资未公开
工作地点Argentina, Bolivia, Brazil, Chile, Colombia, Costa Rica, Cuba, Dominican Republic, Ecuador, El Salvador, Guatemala, Haiti, Honduras, Mexico, Nicaragua, Panama, Paraguay, Peru, Uruguay, Venezuela
地域资格限定地区(需当地身份)
时区要求与中国几乎无重叠,需长期倒时差
用工类型Contractor
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 Argentina、Bolivia、Brazil、Chile、Colombia、Costa Rica、Cuba、Dominican Republic、Ecuador、El Salvador、Guatemala、Haiti、Honduras、Mexico、Nicaragua、Panama、Paraguay、Peru、Uruguay、Venezuela 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
作息提示:与中国几乎无重叠,需长期倒时差。

位置:远程办公 — 拉丁美洲(接受拉丁美洲地区任何地点的申请人)。

Fueled 是一家领先的数字战略、设计和工程机构。我们是一支 300 多人的团队,为 Google、Apple、The New York Times、ESPN、Victoria's Secret、MGM Resorts、Albertsons 和 CLEAR 等品牌设计并构建了数百个数字产品和体验。

作为 Fueled 的高级数据工程师,你负责客户营销分析背后的仓库。GA4 导出、营销平台 API 和 CMS 内容会进入 BigQuery,Dataform 对其进行建模,Looker Studio 仪表盘则在其上展示。当你将仓库交付给客户时,他们的团队应该能够信任它并自行运行。

大部分工作是在客户的 Google Cloud 项目内部进行,使用他们提供的访问权限。你与项目经理和策略师合作,在固定预算内开展工作。你编写提取数据的 Python 代码和整理数据的 SQL 代码,同时编写操作手册,并在客户询问某个数值为何变化时给出解释。

我们有意采用远程办公模式,团队在注重灵活性、创造力和前沿技术的文化中蓬勃发展。对于拉丁美洲的工程师来说,这意味着在你正常工作时间内与美国团队实时协作,以美元支付薪酬,并在全球知名品牌的项目中拥有发言权——所有这些都可以在你最擅长工作的任何地方完成。我们一起塑造数字体验的未来。

你将负责:

  • 在客户项目中主导数据工程工作,将营销和产品数据导入 BigQuery:包括 GA4 导出、营销平台 API、CMS 内容和其他客户系统。你从原始数据表设计到仪表盘读取的视图都负责,并指导 Fueled 的工程师向数据工作方向发展。
  • 构建和运营 Dataform 项目,从干净的数据层和分析视图到断言、计划运行以及跨 GCP 项目的开发到生产环境的发布。这也是报告需求转化为数据的地方。你将 GA4 事件和参数映射到报告所需的 KPI,并在仪表盘与源数据不一致时,找到原因并在模型中修复,而不是在图表中修改。
  • 编写和维护在 Cloud Run 上运行的 Python 数据摄入服务,这些服务从有速率限制的 API 中提取数据,从一开始就内置了水印、回填和缺失日期的恢复功能。
  • 在客户自己的 Google Cloud 租户内部设置仓库交付后持续运行的机制:服务账户的 IAM 权限、Cloud M
查看英文原文

Location: Remote — Latin America (Open to applicants located anywhere in the LATAM region).

Fueled is a leading digital strategy, design, and engineering agency. We are a 300+ person team that has designed and built hundreds of digital products and experiences for brands like Google, Apple, The New York Times, ESPN, Victoria's Secret, MGM Resorts, Albertsons, and CLEAR.

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: GA4 exports, marketing platform APIs, CMS content, and other client systems. You own the design from the raw landing tables to the views a dashboard reads, and you 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. This is also where reporting requirements become data. You map GA4 events and parameters to the KPIs a report needs, and when a dashboard disagrees with its source, you find the cause and fix it in the model, not in the chart.
  • 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, inside the client's own Google Cloud tenancy: IAM for service accounts, Cloud Monitoring alerts, cost controls, and runbooks their engineers can follow. You work with the access they grant and write access requests an admin can act on the same day.
  • Work as part of a project team. The project manager gets estimates you can defend and early warning when they change. Client stakeholders who are not engineers get technical decisions explained in their terms, including what the data can and cannot support.

What you will achieve:

  • From day one, you take over a live client warehouse and document where every piece lives: code, container images, buckets, secrets, and service accounts.
  • Your first production change ships through Dataform with assertions and a scheduled run. When a client asks why a dashboard disagrees with GA4, you reconcile it and answer them the same week.
  • By month three, a client holds runbooks their engineers use without calling us, and a Fueled engineer you mentored runs nightly jobs on their own.
  • Within six months, you have led the data engineering on a new engagement from discovery through handover, on budget, with the client's data team signing off on the design.
  • By the end of your contract, you'll have a portfolio of enterprise-grade work, sharpened skills, and a standing invitation for future collaboration.

About you:

  • You have shipped Dataform or dbt on BigQuery in production, with assertions and scheduled runs, and you know the GA4 BigQuery export schema before and after you flatten it.
  • You have written and owned Python data pipelines in production: API clients with pagination and rate limits, watermark tables, idempotent backfills, containerized and deployed on Cloud Run or something like it.
  • You are comfortable at the IAM level: custom runner service accounts, impersonation, and promotion across GCP projects. You know GA4 exports never backfill, and you plan cutovers around that.
  • You have put Looker Studio or Looker on BigQuery through a service account, and you can trace one metric from a GA4 event parameter to a dashboard tile. When a client asked why the numbers disagreed with the source, you reconciled them and wrote the answer in plain language.
  • You like working in a team with project managers, strategists, and client stakeholders. You estimate honestly, flag changes early, and deliver within a fixed budget. You have inherited someone else's cloud project and left it better documented than you found it.

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.

Any data provided will be processed in accordance with applicable law and our privacy policy. Curious about what to expect during our talent process? Check it out here.

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

Originally posted on Himalayas

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