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Data Engineer Google Jobs (NOW HIRING)

Data Engineer_ W2

Charlotte, NC ยท On-site

$111K - $134K/yr

Data Engineer - Google Cloud Platform | CCaaS / Contact Center Location: Charlotte, NC or Phoenix, AZ (Hybrid - 2 Days Onsite, 3 Days Remote) Employment Type: W2 Only Position Overview We are seeking ...

Data Engineer - Manager

Atlanta, GA ยท On-site

$110K - $132K/yr

... Google Professional Cloud Architect, Google Cloud Platform Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer ...

Data Engineer (GCP)

Dearborn, MI ยท On-site

$105K - $126K/yr

Job Title Data Engineer (Google Cloud Platform - GCP) Overview We are seeking a Data Engineer with experience designing, building, and maintaining scalable data solutions. This role is responsible ...

Data Engineer (GCP)

Dearborn, MI ยท On-site

$105K - $126K/yr

Job Title Data Engineer (Google Cloud Platform - GCP) Overview We are seeking a Data Engineer with experience designing, building, and maintaining scalable data solutions. This role is responsible ...

... 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 - $198000 ...

About the job Google's software engineers develop the next-generation technologies that change how ... and data storage, security, artificial intelligence, natural language processing, UI design and ...

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Data Engineer

Salt Lake City, UT ยท On-site

$110K - $133K/yr

Professional certifications (e.g., Azure Data Engineer, AWS Certified Data Engineer, Google Cloud Professional Data Engineer) are a plus. Working Environment and Physical Demands: * Hybrid or onsite ...

Data Engineer

Salt Lake City, UT ยท On-site +1

$110K - $133K/yr

Professional certifications (e.g., Azure Data Engineer, AWS Certified Data Engineer, Google Cloud Professional Data Engineer) are a plus. Working Environment and Physical Demands: * Hybrid or onsite ...

Data Engineer

Emeryville, CA

$132K - $159K/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 ...

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Platform Customer Engineer, Google Cloud

Atlanta, GA ยท On-site

$53.50 - $71.75/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 ...

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Data Engineer

Rockville, MD

$116K - $140K/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 ...

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Platform Customer Engineer, Google Cloud

Cambridge, MA ยท 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 ...

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 ...

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Showing results 1-20

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 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 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.

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 July 2026, with employment types broken down into 72% Full Time, 13% Part Time, and 15% Contract. Highlights an 97% In-person, and 3% Hybrid job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer Google Cloud Platform, BigQuery, Spark *** Direct End Client ***

Projas Technologies, LLC

Oakland, CA โ€ข On-site

$131K - $157K/yr

Other

Posted 17 days ago


Job description

Job Title: Senior Data Engineer โ€“ Google Cloud Platform, BigQuery, Spark, Monte Carlo

We are seeking a highly skilled and motivated Senior Data Engineer to join our data platform team. The ideal candidate will have hands-on experience with Google Cloud Platform (Google Cloud Platform) services, including BigQuery, Cloud Composer, Dataflow, and Apache Spark/PySpark, along with a strong understanding of data quality frameworks using Monte Carlo.

You will be responsible for designing, building, and maintaining scalable data pipelines, ensuring high data quality and reliability across our analytics and operational systems.

Key Responsibilities:
  • Design and implement scalable ETL/ELT pipelines using Dataflow, Composer, and Spark/PySpark
  • Optimize and manage large-scale datasets in BigQuery
  • Monitor and improve data quality using Monte Carlo
  • Collaborate with data scientists, analysts, and business stakeholders to deliver reliable data solutions
  • Automate workflows and orchestrate pipelines using Apache Airflow (via Composer)
  • Ensure data governance, lineage, and observability across the data ecosystem
  • Troubleshoot and resolve data pipeline issues in production environments
Required Qualifications:
  • 4+ years of experience in data engineering or related field
  • Strong proficiency in Google Cloud Platform services: BigQuery, Dataflow, Cloud Composer
  • Expertise in Apache Spark and PySpark
  • Experience with Monte Carlo or similar data observability tools
  • Proficiency in SQL and Python
  • Familiarity with CI/CD pipelines and version control (e.g., Git)
  • Excellent problem-solving and communication skills
Preferred Qualifications:
  • Experience with real-time data processing and streaming
  • Knowledge of data modeling and warehousing best practices
  • Familiarity with Terraform or Infrastructure as Code (IaC) tools
  • Certification in Google Cloud Platform Data Engineering is a plus
 

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