Data Engineer

Google Inc.; Mountain View (CA); Hybrid; USD 220,000 - 226,000; Full time

Job summary

Google in Mountain View, CA is seeking a Share Data Engineer to design and build scalable data processing systems and data pipelines for analysis and machine learning. You will develop data models, enable data-driven decisions, and create visualizations with BI tools such as Tableau, Power BI, or DataStudio.

Eligible candidates hold a Bachelor’s degree with 5 years’ experience or a Master’s with 3 years’ experience in data engineering.

Qualifications

• Bachelor’s degree in CS/engineering or related field with 5 years’ post‑baccalaureate Data Engineer experience.
• Master’s degree in CS/engineering or related field with 3 years’ Data Engineer experience.
• Requires 3 years’ experience in data pipelines, dimensional modeling, coding in Python/Java/Go/C++, and BI tools such as Tableau/Power BI/DataStudio.

Responsibilities

• Design and build secure, scalable data processing systems and infrastructure.
• Develop and maintain data models and pipelines for analysis and machine learning.
• Enable data-driven decisions by analyzing data, profiling systems, and deploying machine learning models.
• Create and consult on data visualizations and reports using BI tools; define data requirements with cross‑functional partners.
• Provide ongoing support by maintaining dashboards, documenting, and delivering training.

Skills

Python

Java

Go

C++

Data pipelines

Dimensional modeling

BI Tools

Tableau

Power BI

DataStudio

Data infrastructure

Education

Bachelor's degree in Computer Science or related field

Master's degree in Computer Science or related field

Tools

Tableau

Power BI

DataStudio

Job description

corporate_fare Google place Mountain View, CA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Share Data Engineer

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• Bachelor’s degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field and 5 years of progressive post-baccalaureate experience in the job offered or in a Data Engineer-related occupation.
• Alternatively, will accept a Master’s degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics or a related field, and 3 years of experience in the job offered or in a Data Engineer-related occupation.

Position requires 3 years of experience in the following: Data pipeline design and dimensional data modeling for synchronous and asynchronous system integration; Coding in Python, Java, Go, or C++ to build and maintain data infrastructure; Data pipeline implementation using external or internal data processing stacks; Data exploration by performing exploratory queries and scripts on data models; and Data consumption and visualization using business intelligence tools including Tableau, Power BI, or DataStudio.

About the job

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

The US base salary range for this full-time position is $220,050 - $226,000 +15% Bonus Target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google .

Position reports to the Google (Mountain View, CA) office & may allow for a hybrid schedule as per Google policy.

Responsibilities

• Design and build secure, scalable, and reliable data processing systems and infrastructure.
• Develop and maintain data models and pipelines to transform data for analysis and machine learning.
• Enable data-driven decisions by analyzing data, profiling systems, and deploying machine learning models.
• Create and consult on data visualizations and reports using various business intelligence tools. Consult with cross-functional partners to define data requirements, standards, and best practices.
• Provide ongoing support to data users by maintaining dashboards, authoring documentation, and delivering training.

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.