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Data Engineer Google Jobs (NOW HIRING)

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

... Google CloudProfessional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate Understanding of social coding and Integrated Development Environments, e.g., GitHub and Visual Studio ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

... Google Cloud?Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate -Understanding of social coding and Integrated Development Environments, e.g., GitHub and Visual Studio ...

Senior Software Engineer, Google Ads

Mountain View, CA · On-site

$144K - $190K/yr

... with data structures and algorithms. * 1 year of experience in a technical leadership role ... About the job Google's software engineers develop the next-generation technologies that change how ...

SoC DFT Engineer, Google Cloud

Sunnyvale, CA · On-site

$144K - $191K/yr

Knowledge of test standards (e.g., IEEE 1149.1, 1687) and test data formats (e.g., BSDL, STIL ... As a DFT Engineer you will be responsible for defining, implementing and deploying advanced Design ...

ISV Customer Engineer, Google Cloud

Sunnyvale, CA · On-site

$65.50 - $87.50/hr

... data. * Strong communication skills with the ability to conduct technical discussions and ... engineering teams to stay on top of industry trends and devise enhancements to Google Cloud ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

... Google Professional Data Engineer). • Ability to communicate technical data management concepts clearly to both technical and non-technical audiences. • Experience supporting DIA, IC, or DoD ...

Data Engineer

Washington, DC

$129K - $155K/yr

Certification in Data Management or Cloud Architecture (e.g., AWS Certified Data Engineer, Google Professional Data Engineer). * Ability to communicate technical data management concepts clearly to ...

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

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

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Data Engineer Google information

See salary details

$44.5K

$129.7K

$177.5K

How much do data engineer google jobs pay per year?

As of Jun 21, 2026, the average yearly pay for data engineer google in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 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 engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or in high-cost-of-living areas.

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.

Does Google hire data engineers?

Yes, Google hires data engineers to develop and maintain data pipelines, manage large-scale data systems, and support data-driven decision-making. Candidates typically need strong skills in SQL, Python, and cloud platforms like Google Cloud, along with relevant experience in data architecture and engineering. Google regularly recruits data engineers across various teams and locations.

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.

How much does a Data Engineer at Google make?

A Data Engineer at Google typically earns a base salary ranging from $100,000 to $150,000 annually, with total compensation often including bonuses and stock options that can significantly increase overall earnings. Compensation varies based on experience, location, and level within the company, and the role often requires proficiency in tools like SQL, Python, and cloud platforms such as Google Cloud Platform.

Is L7 a good level at Google?

At Google, L7 is considered a senior leadership level, typically involving significant technical expertise and management responsibilities. It is a high-level position that often requires extensive experience, strong problem-solving skills, and proficiency with tools like BigQuery and Dataflow. L7 is generally regarded as a prestigious and well-compensated level within the company.
More about Data Engineer Google jobs
What cities are hiring for Data Engineer Google jobs? Cities with the most Data Engineer Google job openings:
What states have the most Data Engineer Google jobs? States with the most job openings for Data Engineer Google jobs include:
Infographic showing various Data Engineer Google job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Engineer - Senior Manager

$124K - $280K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


PwC rating

8.4

Company rating: 8.4 out of 10

Based on 74 frontline employees who took The Breakroom Quiz

19th of 57 rated business consultants


Job description

Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Manager
Job Description & Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Craft and convey clear, impactful and engaging messages that tell a holistic story.
Apply systems thinking to identify underlying problems and/or opportunities.
Validate outcomes with clients, share alternative perspectives, and act on client feedback.
Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.
Deepen and evolve your expertise with a focus on staying relevant.
Initiate open and honest coaching conversations at all levels.
Make difficult decisions and take action to resolve issues hindering team effectiveness.
Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
As part of the Data and Analytics Engineering team you design and implement thorough data architecture strategies that meet current and future business needs. As a Senior Manager you lead large projects, innovate processes, and maintain operational excellence while interacting with clients at a strategic level to drive project success. You also be responsible for developing and documenting data models, data flow diagrams, and data architecture guidelines, maintaining compliance with data governance and data security policies, and collaborating with business stakeholders to translate their data requirements into technical solutions.
Responsibilities
- Design and implement thorough data architecture strategies
- Lead large-scale projects and innovate processes
- Maintain operational excellence and client interactions
- Develop and document data models and data flow diagrams
- Adhere to data governance and security policies
- Collaborate with business stakeholders to translate data requirements into technical solutions
- Drive project success through strategic advising and problem-solving
- Foster a diverse and inclusive team environment
What You Must Have
- Bachelor's Degree
- 8 years of experience
What Sets You Apart
- Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, Google Cloud Platform Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus
- Designing and implementing thorough data architecture strategies
- Developing and documenting data models and data flow diagrams
- Maintaining data architecture compliance with governance and security policies
- Collaborating with stakeholders to translate data requirements into solutions
- Evaluating and recommending new data technologies and tools
- Leading data strategy engagements providing thought leadership
- Developing leading practices for Data Engineering, Data Science, and Data Governance
- Architecting and implementing cloud-based solutions meeting industry standards
Travel Requirements
Up to 60%
Job Posting End Date
The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: ;br>
As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: ;br>
Learn more about how we work: ;br>
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines:

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