Data Engineer, gTech Users and Products Engineering

Google; Boulder (CO); On-site; USD 106,000 - 150,000; Full time

Job summary

Google in Boulder, CO is seeking a Data Engineer for gTech Users and Products Engineering. This early-career role requires a strong foundation in data pipelines, modeling, and programming, with responsibilities spanning ETL development and stakeholder collaboration.

Eligible candidates should have a Bachelor's degree or equivalent and practical experience in data processing, SQL queries, and distributed data systems.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 1 year of experience coding in one or more programming languages.
• 1 year designing data pipelines and modeling for sync/async integrations using internal and external stacks.
• Experience with exploratory queries and scripts.

Responsibilities

• Leverage AI to design, develop, and support robust data pipelines, warehouses, and reporting systems.
• Create and optimize ETL processes across traditional and distributed data systems.
• Partner with data scientists to productionize models within data processing pipelines.
• Collaborate with stakeholders to ensure data infrastructure meets evolving requirements.
• Author technical design documents and drive continuous innovation with investigative tools.

Education

Bachelor's degree or equivalent

Tools

Flume

DataFlow

Spark

NoSQL

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.

The 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.

Minimum 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 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.

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

Learn more about benefits at Google

Responsibilities

• 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.

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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.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

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