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Data Engineer Google Jobs (NOW HIRING)

Google

Analog Design Engineer, Google Cloud

Sunnyvale, CA · On-site

$237.10K/yr

... data centers. * Ability to influence and drive technical strategy across large, cross-functional ... We empower Google customers with breakthrough capabilities and insights by delivering AI and ...

Programmers.io

AI/ML Engineer

Scottsdale, AZ · On-site

Google Cloud Professional Machine Learning Engineer Google Cloud Professional Data Engineer AWS Certified Machine Learning Specialty Certified Kubernetes Admin(CKA) Google Professional Cloud ...

Analytic Services Inc

Data Engineer

Reston, VA · On-site

$119.10K - $143K/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

Senior Software Engineer, Google Ads

Mountain View, CA · On-site

$144.50K - $190.50K/yr

... with data structures/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 ...

Google

Senior Software Engineer, Google Beam

Mountain View, CA · On-site

$144.50K - $190.50K/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 ...

Google

SoC DFT Engineer, Google Cloud

Sunnyvale, CA · On-site

$144.90K - $191.30K/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 ...

Deloitte

Google Data Engineering Consultant

Rosslyn, VA

$130.50K - $156.70K/yr

As a Data Engineer II on the Government & Public Services team, you will be responsible for: * Support the development, testing, and deployment of applications and data pipelines on Google Cloud ...

Stefanini

Google Cloud Platform Data Engineer

Dearborn, MI

$105.50K - $126.60K/yr

Stefanini is looking for a Google Cloud Platform Data Engineer (Dearborn, MI) For quick apply, please reach out to Adil Khan at / We are looking for candidate who is responsible for designing ...

Intraedge

Google Cloud Platform Data Engineer

Austin, TX · Hybrid

$113.50K - $136.30K/yr

Google Cloud Platform Data Engineer (Day 1 onsite Hybrid 3 days a week in office) Location: Austin, TX Duration: Long Term Contract Expert in SQL and Data warehousing concepts. Hands-on experience ...

Intraedge

Google Cloud Platform Data Engineer

Phoenix, AZ · Hybrid

$113.70K - $136.50K/yr

Google Cloud Platform Data Engineer (Day 1 onsite - Hybrid 3 days a week in office) Location: Phoenix, AZ Duration: Long Term Contract Expert in SQL and Data warehousing concepts. Hands-on experience ...

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$44.5K

$129.7K

$177.5K

How much do data engineer google jobs pay per year?

As of Jun 1, 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 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.

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 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.

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.

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:
What job categories do people searching Data Engineer Google jobs look for? The top searched job categories for Data Engineer Google jobs are:
Data Engineer Google jobs near you
Infographic showing various Data Engineer Google job openings in the United States as of May 2026, with employment types broken down into 61% Full Time, and 39% Part Time. Highlights an 64% Physical, 1% Hybrid, and 35% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Staff Privacy Engineer, Google Ads

Google

Mountain View, CA • On-site

Full-time

Posted 2 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

30th of 184 rated software companies

Job description

info_outline
X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 7 years of experience working in a privacy related field (e.g., security engineering, data engineering, data scientist, compliance engineering etc.).
  • 2 years of experience managing initiatives and solutions for technological problems that maintain or elevate the privacy posture of an organization.
  • 2 years of experience with privacy technologies or frameworks to solve technical and operational problems, and customizing existing solutions and frameworks to support business objectives.

Preferred qualifications:
  • Master's degree or PhD in Computer Science, Privacy, or a related field.
  • Experience engaging key stakeholders, driving consensus, and unblocking challenges to land changes across multiple business units.
  • Experience collaborating with and engaging the external privacy community (e.g. publications, conferences, talks, certifications, etc.).
  • Ability to anticipate future privacy challenges and engineer solutions that enable business growth.

About the job
The Ads Privacy team is tasked with ensuring that Google's advertising products, from infrastructure to AI, operate smoothly and sustainably by keeping our promise to user privacy.
As a Staff Privacy Engineer, you will be a partner who builds privacy into the products from the ground up. You will move beyond individual feature reviews to define the technical privacy strategy for entire product areas. You will collaborate with product management and engineering leadership to understand long-term roadmaps, anticipating privacy needs before they become blockers.
In this role, you will be an architect of trust. You will design the scalable systems and guardrails that allow our business to innovate efficiently while protecting user data. You will identify risks and engineer the solutions that enable teams to meet their goals safely and effectively.
Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We're made up of multiple teams, building Google's Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
The US base salary range for this full-time position is $207,000-$300,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities
  • Partner with Product Management and Engineering to align privacy engineering initiatives with long-term product roadmaps. Anticipate future business needs and design privacy architectures that support them.
  • Lead the privacy design for Google's most complex systems. Advocate "privacy-by-design" principles, working with teams to build robust, scalable privacy controls directly into the infrastructure.
  • Act as a bridge between Legal, Product, and Engineering. Translate complex regulatory requirements and privacy principles into clear, actionable engineering strategies that enable business success.
  • Design privacy systems that meet the business where they are for performance, feasibility, and scalability. Build efficient solutions that protect user privacy without sacrificing product velocity.
  • Foster a culture of privacy awareness and excellence. Mentor junior privacy engineers and broader engineering teams, establish organizational standards that make privacy an integral part of the development lifecycle.

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.

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