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Boulder, CO, USA
Source: Google careers · View original posting
From Google's posting. “We” and “our” refer to the employer.
gTech’s Product and Tools Operations team (gPTO) leverages deep user, operational, and technical insights to innovate Google's Ads products into customer experiences that are so intuitive (or automated) that they require no support at all. gPTO partners closely with gTech’s Support, Professional Services, Product Management, and Engineering teams to innovate and simplify our Ads products and build the productivity tools ecosystem for gTech users.
As a Data Engineer in gUP Engineering, you will drive technical direction and own end-to-end data architectures that power support and product experiences across Google's ecosystem. You will scope nebulous, complex data challenges, guide technical strategy, and mentor fellow engineers while pushing Google’s data infrastructure to scale.
Data Engineers in gUP lead and deliver on designing and scaling workflows to support critical user journeys. They translate complex business and operational problems into robust, highly scalable technical data models and systems visions. In this role, you will lead telemetry and logging instrumentation architectures at scale to generate actionable product and operational insights, as well as integrating AI/ML workflows and modern analytical frameworks into full-stack data solutions.
You will also partner with engineering, product, and data science leaders across Google to align technical roadmaps and solve ambiguous problems at scale.
In gTech Users and Products (gUP), our mission is to advocate for Google’s users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their engagement with Google's diverse product ecosystem.
Additionally we provide a range of product services that ensure our products are optimized for every user, no matter where they are in the world (e.g., localization, digitization, partner integration and more).
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $156000 - $226000 (USD) + 15% bonus target + equity + benefits
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benefits at Google.
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