Data Engineer, gTech Users and Products Engineering

Google Inc.; Fort Collins (CO); On-site; USD 106,000 - 150,000; Full time

Benefits offered by this job

Equity grants

Bonus target 15%

Job summary

Google in Boulder, CO, is seeking a Data Engineer for the gTech Users and Products Engineering team. You will leverage full-stack data pipelines, build scalable ETL processes, and collaborate with data scientists to productionize models. Expect close collaboration with product and engineering teams to meet evolving data needs.

The role emphasizes data modeling, pipeline design, and robust reporting, with emphasis on delivering high-quality data solutions for Google's product ecosystem.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 1 year of experience coding in one or more programming languages.
• 1 year of experience designing data pipelines and dimensional data modeling.
• Experience working with data models via exploratory queries and scripts.

Responsibilities

• Design, build, and support robust data pipelines and reporting systems.
• Develop ETL processes for structured and unstructured data at scale.
• Collaborate with data scientists to productionize models within pipelines.
• Align data infrastructure with partners and engineering stakeholders.
• Create technical design docs and drive continuous innovation.

Skills

Bachelor's degree or equivalent PRAC

1 year coding experience

1 year data pipelines and modeling

Data models and exploratory queries

Education

Bachelor's degree or equivalent practical experience

Job description

Data Engineer, gTech Users and Products Engineering

Google Boulder, CO, USA

Early

Experience completing work as directed, and collaborating with teammates; developing knowledge of relevant concepts and processes.

Application window will be open until at least August 21, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

• Bachelor's degree or equivalent practical experience.
• 1 year of experience coding in one or more programming languages.
• 1 year of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.).
• Experience working with data models by performing exploratory queries and scripts.

Preferred qualifications:

• Experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders/customers.
• Experience developing project plans and delivering projects on time within budget and scope.
• Experience designing data models, data warehouses, and modeling complex business processes or real-world business data.
• Experience writing and maintaining ETL pipelines for structured and unstructured sources, alongside large-scale distributed data processing.
• Proficiency with Unix or Linux environments and non-relational data storage systems, including NoSQL and distributed databases.
• Excellent written communication, organizational, and investigative skills.

About the job

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).

Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

To learn more about gTech, check out our video .

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

About the job

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).

Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

To learn more about gTech, check out our video .

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $106000 - $150000 (USD) + 15% bonus target + equity + benefits

• Leverage advanced AI to design, develop, and support robust, full-stack data pipelines, warehouses, and reporting systems.
• Create, optimize, and modify scalable ETL processes using traditional and large-scale distributed data systems to manage evolving business demands.
• Partner closely with data scientists to transition, scale, and productionize statistical and machine learning models within data processing pipelines.
• Align and collaborate with product, user, and engineering stakeholders to ensure data infrastructure meets dynamically evolving operational requirements.
• Author comprehensive technical design documents while managing continuous innovation using investigative tools for business insights.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.