1

Data Engineer Google Jobs in California (NOW HIRING)

Share Data Engineer, Google Maps * Copy link * Bachelor's degree or equivalent practical experience. * 1 year of experience coding in one or more programming languages. * 1 year of experience ...

Data Engineer, Google Maps

Mountain View, CA · On-site

$135K - $162K/yr

... at Google . Responsibilities * Implement business infrastructure and solutions to build and scale common frameworks for use by Third-Party Developer Operations (3PDO) Data Engineers and Operations ...

... Data Center operations, systems research, and much more. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $138000 - $197000 ...

Data Engineer

Mountain View, CA · On-site

$135K - $162K/yr

... Data Engineer-related occupation. * Alternatively, will accept a Master's degree in Computer ... About the job Google's mission is to organize the world's information and make it universally ...

Platform Customer Engineer, Google Cloud

Sunnyvale, CA · On-site

$65.50 - $87.50/hr

... data management, data analytics, Cloud AI, networking, migrations, security. About the job As a ... Combine sales, programming, and solutions architecture expertise to prove the value of Google Cloud ...

... Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is ...

You Are A hands-on Engineer with foundational experience in Data Engineering, Analytics, or Machine Learning--now building deep expertise in Google Cloud Platform (GCP). You are eager to apply ...

next page

Showing results 1-20

Data Engineer Google information

See California salary details

$43.9K

$128K

$175.2K

How much do data engineer google jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data engineer google in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

What does a data engineer at Google do?

A Data Engineer at Google designs, builds, and manages systems that collect, store, and process large volumes of data. Their responsibilities include creating data pipelines, ensuring data quality, and optimizing data architectures to support analytics and machine learning initiatives. They work closely with data scientists, analysts, and other engineers to ensure that data is accessible, reliable, and efficiently processed for various business needs.

How do data engineers at Google typically collaborate with data scientists and software engineers?

At Google, Data Engineers work closely with both data scientists and software engineers to build robust, scalable data pipelines and infrastructure. Data Engineers are responsible for ensuring that data is clean, accessible, and optimized for analytics, often translating business needs into technical solutions. Regular collaboration happens through cross-functional meetings, design sessions, and code reviews, where Data Engineers provide expertise in data modeling, ETL processes, and system optimization. This collaborative environment promotes innovation, knowledge sharing, and the successful deployment of data-driven products.

What are the key skills and qualifications needed to thrive as a data engineer at Google, and why are they important?

To thrive as a Data Engineer at Google, you need strong programming skills (especially in Python, Java, or Scala), expertise in data modeling, and a solid understanding of distributed systems, typically supported by a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP), BigQuery, SQL, Apache Spark, and relevant data engineering certifications is highly valued. Analytical thinking, effective communication, and problem-solving abilities are crucial soft skills for collaborating across teams and translating business requirements into technical solutions. These skills ensure the reliable design, optimization, and scalability of data systems critical to Google's innovation and decision-making.

What is the difference between Data Engineer Google vs Data Engineer Amazon?

AspectData Engineer GoogleData Engineer Amazon
Required CredentialsBachelor's in CS or related, Google Cloud certifications often preferredBachelor's in CS or related, AWS certifications common
Work EnvironmentGoogle Cloud Platform, large-scale data systems, collaborative teamsAWS cloud services, large data pipelines, cross-functional teams
Employer & Industry UsageGoogle, tech and internet servicesAmazon, e-commerce and cloud services
Search & Comparison IntentHigh overlap in cloud data engineering rolesSimilar roles in cloud data engineering

Both Data Engineer Google and Data Engineer Amazon roles require strong data processing skills, cloud platform knowledge, and relevant certifications. While Google emphasizes Google Cloud Platform expertise, Amazon focuses on AWS. Both roles are integral to their respective companies' data infrastructure, with similar work environments and industry usage, making them common comparison points for data engineering careers in cloud environments.

What job categories do people searching Data Engineer Google jobs in California look for?

The top searched job categories for Data Engineer Google jobs in California are:

What cities in California are hiring for Data Engineer Google jobs?

Cities in California with the most Data Engineer Google job openings:

Infographic showing various Data Engineer Google job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

Data Engineer, Google Maps

Google Inc.

Mountain View, CA • On-site

$106 - $150/hr

Other

Posted 16 days ago


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

corporate_fare Google place Mountain View, CA, USA

Early

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

Share Data Engineer, Google Maps

  • Copy link
  • 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.
  • Experience in Geographic Information Systems (GIS), including Esri software (ArcGIS) or FME for spatial data integration and analysis.
Preferred qualifications:
  • Master's degree in Geospatial Sciences, or a related field.
  • 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 with statistical methodology and data consumption tools such as business intelligence tools, collabs, jupyter notebooks, Tableau, Power BI, DataStudio, and business intelligence platforms.
About the job

As The Data Engineer, Geo Operations, you will execute full-cycle processing pipelines of complex data, within the scope of a larger project with guidance from manager, team lead, or colleagues, within bounded time. You will have an additional focus on managing the team's Cloud infrastructure and the industry-standard geospatial platforms deployed within it.

The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.

The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

About the job

As The Data Engineer, Geo Operations, you will execute full-cycle processing pipelines of complex data, within the scope of a larger project with guidance from manager, team lead, or colleagues, within bounded time. You will have an additional focus on managing the team's Cloud infrastructure and the industry-standard geospatial platforms deployed within it.

The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.

The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.

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 .

  • Implement business infrastructure and solutions to build and scale common frameworks for use by Third-Party Developer Operations (3PDO) Data Engineers and Operations team members. Partner with data providers and consumers to establish new data pipelines.
  • Develop and maintain data models, pipelines, and exchange formats to assist in the delivery, visualization, and analysis of geospatial data, with guidance.
  • Provide ongoing support for client users through maintenance of reports, queries, and dashboards.
  • Partner cross-functionally to analyze root-causes of process errors and deliver faster and better partner care experiences through automation and self service.
  • Perform data analysis and profiling utilizing either established or custom tooling/infrastructure as needed.

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.

#J-18808-Ljbffr

What Google employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom