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Data Engineer Google Jobs (NOW HIRING)

Beghou Consulting

Data Engineer

Princeton, NJ

$120K - $144K/yr

Google Cloud Professional Data Engineer * Experience in the life sciences, healthcare, or pharmaceutical industry. The wage range for this role takes into account the wide range of factors that are ...

Beghou Consulting

Data Engineer

Evanston, IL · On-site

$109K - $132K/yr

Google Cloud Professional Data Engineer * Experience in the life sciences, healthcare, or pharmaceutical industry. The wage range for this role takes into account the wide range of factors that are ...

Beghou Consulting

Data Engineer

Durham, NC

$110K - $132K/yr

Google Cloud Professional Data Engineer * Experience in the life sciences, healthcare, or pharmaceutical industry. The wage range for this role takes into account the wide range of factors that are ...

Beghou Consulting

Data Engineer

Boston, MA

$124K - $149K/yr

Google Cloud Professional Data Engineer * Experience in the life sciences, healthcare, or pharmaceutical industry. The wage range for this role takes into account the wide range of factors that are ...

Beghou Consulting

Data Engineer

Princeton, NJ

$120K - $144K/yr

Google Cloud Professional Data Engineer * Experience in the life sciences, healthcare, or pharmaceutical industry. The wage range for this role takes into account the wide range of factors that are ...

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 ...

Google

Platform Customer Engineer, Google Cloud

Cambridge, MA · On-site

$61 - $81.50/hr

Infrastructure Modernization, Application Modernization, Data Management, Data Analytics, Cloud AI ... Combine sales, programming, and solutions architecture expertise to prove the value of Google Cloud ...

Google

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 ...

New

Google

Senior Security Engineer, Google Cloud

Sunnyvale, CA · On-site

$134K - $184K/yr

... data like passwords and customer information. Security Engineers work directly with network ... Google Cloud accelerates every organization's ability to digitally transform its business and ...

Google

Staff Software Engineer, Google Cloud

Kirkland, WA · On-site

... with data structures/algorithms. * 3 years of experience in a technical leadership role leading ... About the job Google's software engineers develop the next-generation technologies that change how ...

New

Google

EMC Test Engineer, Google Cloud

Sunnyvale, CA · On-site

$144K - $191K/yr

About the job As a part of an EMC Test Engineer at Google, you will be responsible for ensuring ... Your work has the potential to shape the machinery that goes into our cutting-edge data centers ...

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All JobsData Engineer Google Jobs

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 Aug 8, 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 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, or Java, along with experience with cloud platforms like Google Cloud Platform (GCP).

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 August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

Beghou Consulting

Princeton, NJ

$120K - $144K/yr

Full-time

Posted 10 days ago

Job description

Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices.

Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes.

We're looking for a Data Engineer who is passionate about modern data platforms, cloud technologies, and AI-enabled development. In this role, you'll design, build, optimize, and support our next-generation AI-forward data platform, enabling scalable, secure, and high-performance data solutions that power advanced analytics and machine learning.

If you thrive in a collaborative environment and enjoy solving complex technical challenges.

 
We'll Trust you to:
  • Design, develop, optimize, and support Beghou's AI-forward data platform.
  • Build scalable data pipelines and ETL/ELT workflows using Databricks, Python, and PySpark.
  • Develop cloud-native data solutions on AWS and/or Azure.
  • Implement software engineering best practices, including CI/CD, version control, automated testing, and secure development practices.
  • Optimize data processing performance, reliability, and scalability.
  • Collaborate with data scientists, software engineers, and business stakeholders to deliver high-quality data products.
  • Apply cloud security and identity management best practices across the platform.
  • Evaluate and incorporate AI tools into development workflows to improve engineering productivity and solution quality.
  • Contribute to continuous improvement of engineering standards, architecture, and platform capabilities.
You'll need to have:
  • Bachelor's or advanced degree in Computer Science, Engineering, Data Science, Statistics, or a related quantitative field.
  • 3+ years of professional data engineering experience.
  • Strong programming experience with Python, including pandas and/or PySpark.
  • Hands-on experience with Databricks and modern cloud platforms (AWS and/or Azure).
  • Strong experience with relational databases such as PostgreSQL, Oracle, MySQL, Amazon Redshift, or Snowflake.
  • Experience using Git-based source control and modern CI/CD practices.
  • Experience with identity and access management technologies such as Azure AD, Okta, OAuth, or SAML.
  • Knowledge of cloud security best practices.
Preferred Qualifications
  • Experience with ETL platforms such as Azure Data Factory, Informatica, SnapLogic, or Boomi.
  • Experience with containerization technologies including Docker, Kubernetes, or AWS ECS.
  • Experience developing web applications using Flask, Django, JavaScript, HTML/CSS, or Ajax.
  • Experience incorporating AI-assisted development tools into engineering workflows.
  • Industry certifications such as:
  • Databricks Certified Data Engineer
  • AWS Certified Data Engineer
  • Microsoft Azure/Fabric Data Engineer
  • Google Cloud Professional Data Engineer
  • Experience in the life sciences, healthcare, or pharmaceutical industry.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including, but not limited to, skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Beghou, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $85,000 to $105,000.
 
We are currently unable to consider candidates who require or will require sponsorship for work authorization in the future. Applicants must be authorized to work in the US on a permanent and ongoing basis without the need for current or future employer-sponsored work authorization.

At Beghou, you'll join a highly collaborative, values-driven team where technical excellence, analytical rigor, and personal growth converge. Whether you're passionate about AI innovation, building commercialization strategies, or shaping the next generation of data-first solutions in life sciences, this is a place to make an impact!

Compensation and Benefits:
Beghou Consulting offers a competitive compensation package and a full complement of benefits, including the following:

Health & Wellness
We provide comprehensive medical, dental, and vision insurance, as well as life & AD&D coverage, disability insurance, and a Lifestyle Wellness Account to help you feel your best.

Work-Life Balance
Our generous PTO, company holidays, and paid parental & bonding leave help you recharge and be present where it matters most. With a flexible hybrid work policy, you’ll enjoy the balance of in-person collaboration and remote flexibility.

Financial Wellness
We invest in your future with a 401(k) and employer match, tax-free commuter, health, and childcare accounts, and performance bonuses. You’ll also receive a monthly phone stipend and access to an employee discount program.

Growth & Giving Back
Through mentorship, training, and tuition reimbursement, we help you grow your career while supporting causes you care about with a charitable donation match.

Culture & Values
Collaboration, innovation, and inclusion define us. Here, you’ll join a community that values your ideas and celebrates your impact. 

Equal Opportunity Employer
We are committed to fostering an inclusive company culture that respects and promotes diverse backgrounds and points of view. We seek candidates who will add to our culture and support the company’s vision of a diverse, equitable, inclusive, and collaborative workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. We are proud to be an equal-opportunity employer. If you are excited about this role but do not meet 100% of the qualifications listed, we still encourage you to apply. You may be just the right candidate for this or other roles.

Must be legally authorized to work in the United States.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.