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Google Tableau Jobs (NOW HIRING)

Data Engineer

Mountain View, CA · On-site

$135K - $162K/yr

... 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 ...

... g., Tableau, Minitab) for Design of Experiments (DOE), Statistical Process Control (SPC), and ... The Platforms and Devices team encompasses Google's various computing software platforms across ...

Senior Data Engineer, gTech Risk

Chicago, IL · On-site

$88K - $111K/yr

Experience in SQL and data visualization tools (e.g., Tableau, Looker). Preferred qualifications ... About the job Google creates products and services that make the world a better place, and gTech ...

Job Title: Front End Developer Tableau/Python Job Category: Information Technology Time Type ... NET, Java) Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for application ...

... Tableau, or Power BI). * Mastery of search engine marketing (SEM) fundamentals: match types ... Google Ads and Meta Paid Ads Certifications * Experience with Google Local Service Ads Who You Are

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Google Tableau information

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$10

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How much do google tableau jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for google tableau in the United States is $56.24, according to ZipRecruiter salary data. Most workers in this role earn between $46.39 and $66.35 per hour, depending on experience, location, and employer.

What is a Google Tableau?

A Google Tableau job typically involves using Tableau, a powerful data visualization tool, to analyze and present insights from Google-related data sources such as Google Analytics, Google BigQuery, or Google Cloud. Professionals in this role work with large datasets to create dashboards, reports, and visualizations that help drive business decisions. They may collaborate with data analysts, engineers, and business teams to ensure data accuracy and meaningful insights. Strong skills in Tableau, SQL, and Google Cloud technologies are often required.

What does a Google Tableau developer or analyst do?

Daily responsibilities for a Google Tableau Developer or Analyst usually involve working closely with stakeholders to understand business data needs, designing and developing interactive Tableau dashboards, and integrating data from Google Cloud services such as BigQuery. You may collaborate with data engineers, business analysts, and IT teams to optimize data pipelines and ensure the accuracy and relevance of your reports. Additionally, you'll likely be tasked with troubleshooting data issues, recommending visualization best practices, supporting ad hoc data requests, and helping to train end users on dashboard functionalities. This multifaceted role requires both technical expertise and strong interpersonal skills to create impactful, user-friendly data solutions.

What are the key skills and qualifications needed for a Google Tableau position?

To thrive as a Google Tableau Developer or Analyst, you need a strong analytical mindset, proficiency in data visualization, and experience with both Google Cloud Platform (GCP) and Tableau software. Expertise with tools such as Tableau Desktop and Tableau Server, knowledge of SQL, and familiarity with Google BigQuery or other data warehousing solutions are typically required. Strong communication, problem-solving, and collaboration skills are highly valued for translating business requirements into actionable insights. These skills ensure effective data-driven decision-making and help organizations maximize the value of their analytics infrastructure.

More about Google Tableau jobs
Infographic showing various Google Tableau job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 86% Full Time, 8% Part Time, and 5% Contract. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution, with an average salary of $116,980 per year, or $56.2 per hour.

Data Engineer

Mountain View, CA • On-site

Google
Software Development • 10K+ employees

$135K - $162K/yr

Full-time

Posted 7 days ago


Key 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.

  • Create and consult on data visualizations and reports using various business intelligence tools.


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 247 rated software companies


Job description

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.

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