Google Cloud Data Engineer Salary: Discover the Average Salary Per Year

As businesses continue to rely more heavily on data to make informed decisions, Google Cloud Data Engineers play a vital  role in today's industry. They are responsible for managing and analyzing large data sets to help companies achieve their goals.

Due to the high demand for skilled data engineers, their salary has become an important topic  to consider, and companies are willing to pay top dollar to attract and retain talent.

Currently, the average Google cloud data engineer salary is about 148,000$ per year.

In this article, we'll explore the factors that can impact a Google Cloud Data Engineer's salary range, providing valuable insight for successful salary negotiations..

Understanding Google Cloud Data Engineer Role and Responsibilities:

Definition and role of a Google Cloud Data Engineer

A data engineer is an IT worker who specializes in the design, development, and maintenance of data pipelines on the Google Cloud Platform. These software engineers are typically responsible for ensuring that data is collected, processed, and made available to stakeholders in a timely and efficient manner.

The role of a Google Cloud Data Engineer is essential in today's industry to make strategic decisions, their primary job is that they work closely with other stakeholders to make sure that information is gathered, stored, and handled correctly.

The responsibilities of a Google Cloud Data Engineer

A GCP engineer has numerous tasks, the responsibilities of a Google Cloud Data Engineer may vary depending on the specific organization they work for. However, some common responsibilities include:

  • Building data pipelines and designing systems to gather and navigate data  from different source systems.

  • Integrating, consolidating and cleansing data and structure it for use in analytics applications.

  • Creating a system that allows for convenient data retrieval and improving the management of their organization's large-scale data environment.

  • Implementing principles of data engineering utilizing the Google Cloud Platform.

  • Configuration of Google Cloud Platform services

Moreover, a GCP engineer is responsible for Providing support for development teams in deployment-related topics and operationalizing machine learning models.

Overview of the skills and qualifications required for a Google Cloud Data Engineer

To become a successful Google Data Engineer, It's important to have a computer science, statistics, informatics, information systems, or other quantitative major education background.

Then, you should pass a two-hour exam to get certified as a Google Data Engineer. Some of the essential skills needed are as follows:

  • Familiarity with programming languages such as Python, Java, or SQL.

  • Proficiency in comprehending data structures, algorithms, and cloud platforms.

  • knowledge of various Infrastructure Automation Tools and their capabilities.

  • Understanding of Machine Learning (ML) concepts.

  • Basics of Java and Scala programming.

  • Understanding of SQL and NoSQL databases.

  • Knowledge of data warehousing and data modeling.

In addition, an experience with cloud-based data processing technologies such as Google Cloud Dataflow, Apache Beam, or Apache Spark is also necessary for these roles.

Factors that Affect Google Cloud Data Engineer Salaries:

 Google Cloud data engineer positions provide interesting salary packages that are packed with a huge amount of extra perks due to the company’s status as one of the largest tech businesses in the world.

However, Data Engineers are paid significantly more than the typical American workers, being Google certified has become popular all around the world, also their salary is in subjective variation depending on multiple factors.

  1. 1

    Industry trends and job outlook for Google Cloud Data Engineers:

    One important factor to consider is industry trends and job outlook for Google Cloud Data Engineers.

    Many industries need cloud developers, as more and more companies continue to invest in data-driven decision making, the demand for Google Cloud Data Engineers is expected to continue to rise.

  2. 2

    Location and cost of living:

    The region where your work affects also your salary as a cloud developer. In general, if you live in a big city where the cost of living is high, your salary will be adjusted accordingly to meet your financial requirements.

    The cost of living can vary greatly from one location to another, and as a result, salaries can differ as well. 

  3. 3

    Education and certification:

    Education and certification can also impact a Google Cloud Data Engineer's salary. Data engineers with advanced degrees or specialized training in data engineering may be able to command higher salaries.

    To become a cloud engineer, a bachelor's degree in a field related to information technology is required including:

    • computer science

    • computer networking.

    • programming.

    • digital automation.

    • computer security. 

    In addition, obtaining industry certifications such as the Google Cloud Certified - Professional Data Engineer certification can demonstrate expertise and increase earning potential.

  4. 4

    Years of experience and job level:

    Years of experience and job level can also play a role in determining a Google Cloud Data Engineer's salary. Generally, the more experience and seniority a data engineer has, the higher their salary will be.

    This is because they have developed a greater understanding of complex data systems and can provide valuable insights and guidance to their team.

  5. 5

    Company size and industry:

    Finally, the size and type of the company a Google Cloud Data Engineer works for can impact their salary. Larger companies in industries such as technology or finance may offer higher salaries to attract top talent.

    Additionally, companies that place a high value on data and analytics may offer higher salaries to data professionals such as Google Cloud Data Engineers.

Google Cloud Data Engineer Salaries Range:

Median salary range for Google Cloud Data Engineers:

According to data from Glassdoor, the median base salary for a Google Cloud Data Engineer in the United States is approximately $125,000 per year. Nevertheless, multiple factors can impact the compensation.

  • A GCP Data Engineer employed at Google could earn around $200,314 per year, as estimated from a compensation model and user-reported salaries. 

  • However, according to ZipRecruiter, the majority of GCP Data Engineer salaries range from $99,500 to $159,000 per year, with the highest earners making $183,000 per year.

This wide range of salaries suggests that there are numerous opportunities for career advancement and higher pay based on location, skill level, and experience.

Salary range based on location, education, certification, and experience:




It is one of the most significant factors impacting Google Cloud Data Engineer salaries. For example, a Google Cloud Data Engineer working in San Francisco, California,

can expect a median base salary of approximately $148,000 per year, while one working in Dallas, Texas, can expect a median base salary of around $112,000 per year.

Education and certification

According to data from PayScale, a Google Cloud Certified - Professional Data Engineer certification can lead to an average salary increase of 24%.

Additionally, obtaining a master's degree in a related field can also lead to higher earning potential.

Years of experience

According to Glassdoor, the median base salary for a Google Cloud Data Engineer with less than one year of experience is around $92,000 per year,

while those with more than 10 years of experience can earn upwards of $170,000 per year.

However, Taking a deliberate approach to your preparation and carefully selecting the job opportunities you pursue can lay the foundation for sustained career advancement and achievement.

Comparison of Google Cloud Data Engineer salaries with other data-related roles:

When compared to other data-related roles, Google Cloud Data Engineer salaries are either on par with or higher than other positions.

Data-related roles


Data Scientist

$115,000 per year

Digital skills officer


DevOps engineer


Full-stack engineer


Network architect


Security engineer


Companies Hiring Google Cloud Data Engineers:

Overview of the companies hiring Google Cloud Data Engineers:

Google Cloud Platform (GCP) comprises various cloud services that include virtual machines with server space, internal networks, disk storage, VPN connections, SaaS (Software as a Service) applications utilizing machine language, and a technology named TPU (Tensor Processing Units).

In several sectors, several firms seek Google Cloud Data Engineers to aid in their data management and analysis. Google specifically targets the following industries:

  • Retail.

  • Manufacturing.

  • Financial services.

  • Energy.

  • Healthcare and life services.

  • Gouvernement.

  • Media and entertainment.

  • Education.

Salary range offered by different companies for Google Cloud Data Engineers:

In terms of salary range offered by different companies, this can vary greatly depending on factors such as location, company size, and industry. 


Base compensation


Total Compensation

























Comparison of salary offered by top companies in the industry:

When it comes to comparing salaries offered by top companies in the industry, Google is often cited as one of the highest-paying companies for data professionals. In comparison to similar roles at Amazon or Microsoft, the median base salary at Google is notably higher.

Furthermore, the range of bonus and variable pay on offer varies significantly between companies, with Google providing the most substantial rewards.

Tips for Negotiating the Salary

 To negotiate your salary successfully, it's important to research the average salary for data engineers with similar skills and experience in your area.

Consider enhancing your skills and knowledge in areas that are in high demand and gaining experience to increase your value as a data engineer. Here are some tips to help you negotiate your salary effectively:

  • Be Confident and Focus on Your Value:

    It's important to approach salary negotiations with a confident and positive attitude.

    Highlight the specific value you bring to their company, discuss how your skills and expertise will help to achieve company's goals, and make a compelling case for why you deserve a higher salary.

  • Do Your Research and Know Your Worth:

    Research the average salary range for a Google Cloud Data Engineer in your location and level of experience to understand your worth in the market based on your experience, skill set, and the demand for your role.

    This will help you negotiate a salary that reflects your value to the company.

  • Be Flexible and Consider Other Perks:

    Remember to be willing to negotiate on aspects such as bonuses, equity, and other benefits, as these can also contribute to your overall compensation package.

    Considering other perks beyond just salary, such as healthcare benefits, paid time off, and the company's culture and work-life balance.

  • Highlight Your Accomplishments:

    Highlighting your relevant accomplishments, such as your experience working with Google Cloud Platform, your certifications, and any successful projects you have completed will help you showcase your expertise and value to the company.

  • Practice Your Negotiation Skills:

    Practice your negotiation skills with a friend or mentor before going into a salary negotiation can help you feel more confident and prepared during the negotiation process.

  • Stay Professional:

    Remain professional throughout the negotiation process, and avoid becoming emotional or confrontational. Listen actively to the other party's concerns and feedback, and be open to compromise.

    However, be prepared to walk away if the salary being offered does not meet your expectations or reflect your worth. Remember that you are a valuable asset and should be fairly compensated for your skills and experience.


In conclusion, Google Cloud Data Engineer is a role in high demand worldwide. Companies in industries such as technology, finance, healthcare, and retail are hiring for this role, with salaries ranging from approximately $120,000 to $180,000 per year.

How much a Google Cloud Data Engineer get paid based on many factors such as location, education, experience, and industry trends.

In today's competitive job market, researching and negotiating your salary is an essential part of ensuring that you are being fairly compensated for your skills and experience, to approach your data engineer role with the appropriate salary expectations.

About the author


Youssef is a Senior Cloud Consultant & Founder of

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