Data Engineer, gUP Engineering

Google; Boulder (CO); On-site; USD 106,000 - 151,000; Full time

Job summary

Google's gTech gUP Engineering team in Boulder, CO is seeking a Data Engineer to design and implement scalable data pipelines and data warehouses that power our Ads experiences. You will collaborate with cross-functional teams, productionize models, and optimize data flows across structured and unstructured sources using Spark, DataFlow, and related technologies.

Required: a Bachelor's degree or equivalent practical experience plus hands-on data engineering experience; preferred Master’s degree

Qualifications

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

Responsibilities

• Utilize AI technologies to integrate data streams into scalable applications and workflows.
• Design, develop, and support data pipelines, data warehouses, and ETL systems.
• Modify data models and refine pipelines to resolve core technical and business issues.
• Collaborate with data scientists and cross-functional partners to productionize models within pipelines.

Skills

Data pipelines

Dimensional data modeling

Programming

Education

Bachelor's degree

Master's degree

Tools

Flume

DataFlow

Spark

Job description

Data Engineer, gUP Engineering

corporate_fare Google place Boulder, CO, USA

Early

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

XThe application window will be open until at least August 05, 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 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.).
• 1 year of experience coding in one or more programming languages.
• Experience working with data models by performing exploratory queries and scripts.

Preferred qualifications:

• Master’s degree in Engineering, Computer Science, or a related technical discipline.
• 1 year of experience partnering with cross-functional stakeholders and managing project plans to deliver on time, budget, and scope.
• Experience writing and maintaining scalable ETLs operating across structured and unstructured data sources.
• Proven experience in large-scale distributed data processing alongside proficiency with Unix and GNU/Linux environments.
• Expertise designing data models and data warehouses, with strong familiarity in NoSQL and distributed database systems.
• Strong background modeling real-world business processes, supported by excellent written communication, organizational, and problem-solving skills.

About the job

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. 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 ourvideo (https://www.youtube.com/watch?v=HcjR6ZngQcw).Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $106000 – $151000 (USD) + 15% bonus target + equity + benefits

Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/)

Responsibilities

• Utilize AI technologies to integrate complex data streams directly into scalable, full-stack software applications and operational workflows.
• Design, develop, and support data pipelines, data warehouses, and automated ETL systems using traditional and distributed data frameworks.
• Implement critical modifications to existing data models while continuously refining pipelines to resolve core technical and business issues.
• Partner with data scientists, support engineers, and cross-functional stakeholders to productionize advanced statistical and machine learning models within active data pipelines.
• Write comprehensive technical design documentation while developing investigative tools to unlock actionable business insights and maintain evolving data architecture.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google’sApplicant and Candidate Privacy Policy (./privacy-policy) .

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 alsoGoogle’s EEO Policy (https://www.google.com/about/careers/applications/eeo/), Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf), Belonging at Google (https://about.google/belonging/), andHow we hire (https://careers.google.com/how-we-hire/).

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also (https://careers.google.com/eeo/) and (https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf) If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: (https://goo.gl/forms/aBt6Pu71i1kzpLHe2).