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Data Engineer Google Jobs in California (NOW HIRING)

Google

DFT Engineer, Google Cloud

Sunnyvale, CA · On-site

... 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 ...

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

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 ...

Pwc

Data Engineer - Senior Manager

San Diego, CA · On-site

$124K - $280K/yr

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

Pwc

Data Engineer - Senior Associate

Irvine, CA

$77K - $202K/yr

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

Pwc

Data Engineer - Senior Associate

Sacramento, CA

$77K - $202K/yr

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

Pwc

Data Engineer - Senior Manager

Sacramento, CA

$124K - $280K/yr

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

Pwc

Data Engineer - Senior Associate

San Diego, CA

$77K - $202K/yr

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

Pwc

Data Engineer - Senior Manager

Los Angeles, CA

$124K - $280K/yr

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

Pwc

Data Engineer - Senior Associate

San Francisco, CA

$77K - $202K/yr

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

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All JobsData Engineer Google JobsData Engineer Google Jobs in California

Data Engineer Google information

See California salary details

$43.9K

$128K

$175.2K

How much do data engineer google jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data engineer google in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 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.

What are popular job titles related to Data Engineer Google jobs in California? For Data Engineer Google jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Engineer Google jobs in California look for? The top searched job categories for Data Engineer Google jobs in California are:
What cities in California are hiring for Data Engineer Google jobs? Cities in California with the most Data Engineer Google job openings:
Data Engineer Google jobs near you
Infographic showing various Data Engineer Google job openings in California as of July 2026, with employment types broken down into 73% Full Time, 14% Part Time, and 13% Contract. Highlights an 96% In-person, and 4% Hybrid job distribution, with an average salary of $128,018 per year, or $61.5 per hour.
Data Engineer Google Cloud Platform, BigQuery, Spark *** Direct End Client ***

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

Projas Technologies, LLC

Oakland, CA • On-site

$131K - $157K/yr

Other

Posted 13 days ago

Job description

Job Title: Senior Data Engineer – 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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