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Gcp Data Engineer Jobs in California (NOW HIRING)

GCP Data Engineer

Santa Clara, CA ยท On-site

$135K - $162K/yr

... data modeling within a petabyte-scale environment. * Experience with other relevant GCP services like Cloud Storage , Cloud Dataflow/Beam , or Pub/Sub * Programming & Querying: * Python: Expert-level ...

GCP Data Engineer

Santa Clara, CA ยท On-site

$134K - $161K/yr

... data modeling within a petabyte-scale environment. * Experience with other relevant GCP services like Cloud Storage , Cloud Dataflow/Beam , or Pub/Sub * Programming & Querying: * Python: Expert-level ...

Must hold an active GCP Professional Data Engineer certification. * DRP ID Performance: A Data Readiness Placement (DRP) ID with a verified score of 50+ is highly preferable, demonstrating a high ...

Senior GCP Data Engineer

Pleasanton, CA ยท On-site

$65 - $70/hr

... Platform (GCP). * Work hands-on with BigQuery for data warehousing and analytics use cases ... Must be a hands-on developer (no pure coordination roles). Founded in 2010 and headquartered in the ...

GCP data Architect

Santa Clara, CA ยท On-site

$74.75 - $96.25/hr

... Platform (GCP) services, specifically: * BigQuery: Expert-level skills in data ingestion ... Programming & Querying: * Python: Expert-level programming proficiency in Python, including ...

Data Engineer

Pasadena, CA ยท On-site

$125K - $150K/yr

Data Engineer Direct Hire - Onsite Pasadena W2 Only (No Sponsorship/C2C) We are looking for a Data ... Core Tech : Strong Python, advanced SQL, and cloud platform experience (AWS/Azure/GCP). * Data ...

... Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and ...

... GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough ...

... GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough ...

... GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough ...

... Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and ...

... GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough ...

... Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and ...

... GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough ...

... Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and ...

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Gcp Data Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do gcp data engineer jobs pay per year?

As of Aug 3, 2026, the average yearly pay for gcp data engineer 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 is a GCP Data Engineer job?

A GCP Data Engineer is responsible for designing, building, and managing data processing systems on Google Cloud Platform. They work with tools like BigQuery, Dataflow, and Dataproc to process, store, and analyze large datasets efficiently. Their role involves optimizing data pipelines, ensuring data quality, and implementing security best practices. They also collaborate with data analysts and scientists to support business intelligence and machine learning initiatives.

What are the key skills and qualifications needed to thrive in the Gcp Data Engineer position, and why are they important?

To thrive as a GCP Data Engineer, you need strong skills in data engineering, programming (such as Python or Java), and experience with Google Cloud Platform services like BigQuery, Dataflow, and Cloud Storage, often backed by a relevant degree or certification. Familiarity with tools such as Terraform, Apache Beam, and GCP-specific certifications like Professional Data Engineer are highly valued. Analytical thinking, problem-solving abilities, and effective communication are standout soft skills for this role. These competencies are crucial for building scalable data solutions, ensuring data quality, and collaborating effectively within cross-functional teams.

Is GCP Data Engineer in demand?

GCP Data Engineers are in high demand due to the increasing adoption of Google Cloud Platform for data processing and analytics. Organizations seek professionals skilled in cloud services, data pipelines, and tools like BigQuery and Dataflow to manage large-scale data workloads, making this a promising role with strong job growth prospects.

What is the salary of GCP Data Engineer?

The average salary for a GCP Data Engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and certifications such as Google Cloud Professional Data Engineer. Senior roles or those in high-demand areas may offer higher compensation. Skills in data pipeline development, cloud architecture, and SQL are often valued in salary considerations.

What types of projects or day-to-day tasks does a GCP Data Engineer typically work on?

As a GCP Data Engineer, you will design and implement data pipelines, process large datasets using GCP tools, and ensure data is available and accessible for analytics and business intelligence purposes. Your daily tasks might include creating ETL workflows, optimizing data warehouse performance, collaborating with data scientists, and troubleshooting data ingestion issues. Many teams operate in an agile environment, so you can expect regular interaction with product managers, analysts, and other engineers. This hands-on, collaborative nature of the role means you'll have opportunities to work on impactful projects that directly influence business decisions and gain exposure to cutting-edge cloud technologies.

Can I make 200K as a Data Engineer?

GCP Data Engineers with extensive experience, advanced skills in cloud platforms, and certifications such as Google Cloud Professional Data Engineer can potentially earn salaries around or above $200,000 annually, especially in high-cost-of-living areas or senior roles. Salary levels depend on factors like location, industry, company size, and individual expertise in tools like BigQuery, Dataflow, and machine learning. Entry-level or mid-tier Data Engineers typically earn less, with higher salaries reserved for those with specialized skills and years of experience.

What engineer makes $500,000 a year?

Highly experienced data engineers, including GCP Data Engineers with advanced skills in cloud platforms, big data tools, and certifications, can earn salaries approaching or exceeding $500,000 annually, especially in senior or specialized roles at large tech companies. Such compensation often includes bonuses, stock options, and other benefits.
What are the most commonly searched types of Gcp Data Engineer jobs in California? The most popular types of Gcp Data Engineer jobs in California are:
What job categories do people searching Gcp Data Engineer jobs in California look for? The top searched job categories for Gcp Data Engineer jobs in California are:
What cities in California are hiring for Gcp Data Engineer jobs? Cities in California with the most Gcp Data Engineer job openings:
Infographic showing various Gcp Data Engineer job openings in California as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 13% Part Time, and 8% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

GCP data engineer

TestingXperts Inc. DBA Damcosoft

Pleasanton, CA โ€ข On-site

$127K - $153K/yr

Contractor

Posted 20 days ago


Job description

Hello,

My name is Sreeja and I represent TestingXperts Inc. TestingXperts is a Specialist QA & Software Testing Company, and an Independent Software Testing division of Damco Group, which is a leading IT Solutions and Services company working with Fortune Enterprises globally. Inheriting the virtues of job quality and optimal user satisfaction from Damco Group, TestingXperts aims at promoting the ethics of connected innovation, thereby seeding the integral values in our employees and achieving unmatched contentment in our clients. To know more about Testingxperts Inc., please visit our website www.testingxperts.com.

If you are interested in the opportunity listed below, please forward your updated resume along with current contact information, or perhaps you can recommend someone who would be interested in this position

Job Title:

Senior GCP Data Engineer

Hiring Mode:

Contract -TP

Location:

Pleasanton, CA [Onsite]

 
Job Description:
We are looking for an experienced Senior GCP Engineer who is a hands-on developer with deep expertise in Google Cloud Platform and modern data engineering practices. The role requires working onsite from Pleasanton and contributing to the design, development, deployment, and optimization of cloud-based data solutions.
Key Responsibilities-

  • Design, develop, and maintain scalable solutions on Google Cloud Platform (GCP)
  • Work hands-on with BigQuery for data warehousing and analytics use cases
  • Develop and manage relational workloads using AlloyDB
  • Build and maintain data transformation pipelines using DBT
  • Orchestrate workflows using Cloud Composer (Apache Airflow)
  • Implement infrastructure as code using Terraform
  • Design, implement, and maintain CI/CD pipelines for data and cloud workloads
  • Write efficient SQL queries for data modelling, transformation, and reporting
  • Follow modern development practices including vibe coding and clean code standards
  • Collaborate with cross-functional teams to deliver high-quality cloud solutions
  • Ensure performance, security, scalability, and reliability of GCP solutions

Mandatory Technical Skills-

  • Strong foundation experience in Google Cloud Platform (GCP)
  • Advanced SQL skills
  • Hands-on experience with BigQuery
  • Experience working with AlloyDB
  • Strong experience in DBT
  • Workflow orchestration using Composer (Airflow)
  • Infrastructure automation using Terraform
  • Experience building and managing CI/CD pipelines
  • Exposure to vibe coding and modern development practices

Additional Requirements-

  • Must be a hands-on developer (no pure coordination roles)
  • Strong problem-solving and debugging skills
  • Excellent communication and collaboration abilities