Data Engineer

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

Job summary

Google in Mountain View, CA is seeking a Data Engineer to design and build scalable data pipelines and models to enable data-driven decisions and ML workflows. The role requires deep technical expertise and mentoring of junior team members.

You will work with Python, Java, Go, or C++, develop data infrastructure, and collaborate with cross-functional partners to implement data visualization and reporting solutions with BI tools such as Tableau, Power BI, or DataStudio.

Qualifications

• Bachelor’s degree in CS/Engineering/Math or related field with 5 years of post-baccalaureate experience.
• Master’s degree with 3 years of related experience is acceptable.
• 3 years of experience in data pipelines, dimensional data modeling, and data visualization using BI tools like Tableau, Power BI, or DataStudio.

Responsibilities

• Design and build secure, scalable data processing systems and infrastructure.
• Develop and maintain data models and pipelines for analysis and ML.
• Enable data-driven decisions by analyzing data, profiling systems, and deploying ML models.
• Create and consult on data visualizations and reports with BI tools; collaborate with partners to define data requirements and standards.
• Provide ongoing support by maintaining dashboards, writing docs, and training data users.

Skills

Problem solving

Mentoring

Communication

Education

Bachelor’s degree in CS/Engineering/Math

Master’s degree in CS/Engineering/Math

Tools

Python

Java

Go

C++

Job description

Data Engineer

Google

Mountain View, CA, USA

Mid

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

Minimum qualifications:

• 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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate 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 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.

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.