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Gcp Data Engineer Jobs in California (NOW HIRING)

Lancesoft

Data Engineer

San Francisco, CA · On-site

$66 - $68/hr

Description: Lead Data Engineer -Data & AI, Supply Chain About the Role Tech is seeking an ... Strong hands-on experience with Google Cloud Platform (GCP). * Expert-level proficiency in ...

Pwc

Data Engineer - Senior Manager

Los Angeles, CA

$124K - $280K/yr

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

Pwc

Data Engineer - Senior Manager

Sacramento, CA

$124K - $280K/yr

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

Pwc

Data Engineer - Senior Manager

San Francisco, CA · On-site

$124K - $280K/yr

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

Pwc

Data Engineer - Senior Manager

Irvine, CA · On-site

$124K - $280K/yr

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

Pwc

Data Engineer - Senior Manager

San Diego, CA · On-site

$124K - $280K/yr

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

AllSTEM Connections

Data Engineer

San Francisco, CA · On-site

$120K - $133K/yr

Lead Data Engineer (GCP, Supply Chain & AI Data Platforms) Role Overview We are seeking an experienced and hands-on Lead Data Engineer to join our Enterprise Data & AI Organization. In this role, you ...

Solomon Page

Data Engineer

Pleasanton, CA · On-site

$60 - $65/hr

We are seeking an experienced Lead Data Engineer to join the Supply Chain Data & AI organization ... Design, develop, and implement scalable data pipelines and data products using GCP, Dataproc ...

Solomon Page

Lead Data Engineer

San Francisco, CA · On-site

$134K - $161K/yr

Strong hands-on experience building enterprise data platforms on Google Cloud Platform (GCP ... Cloud Data Engineering * Git * CI/CD * Agile Methodologies Technical Skills: * Google Cloud ...

AllSTEM Connections

Data Engineer

San Francisco, CA · On-site

$79K - $87K/yr

Senior Data Engineer (Cloud Data Platforms) Role Overview We are seeking a skilled and driven Data ... Utilizing modern Google Cloud Platform (GCP) technologies, you will transform enterprise data into ...

Lancesoft

Data Engineer (Remote)

San Francisco, CA · On-site +1

$40 - $41/hr

Lead Data Engineer -Data & AI, Supply Chain Fully Remote Rate: $40/hour About the Role Tech is ... Strong hands-on experience with Google Cloud Platform (GCP). * Expert-level proficiency in ...

Redolent, Inc.

Data Engineer

Sunnyvale, CA · On-site

$136K - $163K/yr

Job Title: Data Engineer ( python, pyspark, scala, airflow) Location:Sunnyvale CA ( Hybrid ... Familiarity with Cloud Computing Services such as Google GCP and Microsoft Azure, as well as ...

Kanak Elite Services Inc

Data Engineer

Bay Point, CA · On-site

$125K - $151K/yr

Databricks Data Engineer Location: [Bay Area, CA] Duration : 12+ Months Need experience with ... Experience with cloud platforms (Azure, AWS, or GCP), especially data services (e.g., S3, ADLS ...

1 point system

Data Engineer

Los Angeles, CA · On-site

$60/hr

Job Title Data Engineer Client Confidential Location Los Angeles, CA (5 days - Onsite) Type of Hire ... Experience with cloud-based environments (AWS, GCP, Databricks) and MLOps practices * Strong ...

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Showing results 21-40

All JobsGcp Data Engineer JobsGcp Data Engineer Jobs in California

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 9, 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?

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 as a GCP Data Engineer?

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. Skills in cloud services, data pipelines, and tools like BigQuery and Dataflow enhance employability in this growing field.

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.

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 are popular job titles related to Gcp Data Engineer jobs in California? For Gcp Data Engineer jobs in California, the most frequently searched job titles 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:
Gcp Data Engineer jobs near you
Infographic showing various Gcp Data Engineer job openings in California as of August 2026, with employment types broken down into 47% Full Time, and 53% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

Senior Data Engineer -GCP

Precision Technologies Corp

Mountain View, CA • On-site

$125K - $169K/yr

Contractor

Re-posted 26 days ago

Job description

Role : Senior Data Engineer - GCP

Location : Mountain View CA (Onsite)

What you’ll do

  • Develop and enhance Python frameworks and libraries to support data processing, quality, lineage, governance, analysis, and machine learning operations.
  • Design, build, and maintain scalable and efficient data pipelines on GCP.
  • Implement robust monitoring, logging, and alerting systems to ensure the reliability and stability of data infrastructure.
  • Build scalable batch pipelines leveraging Big query, Dataflow and Airflow/Composer scheduler/executor framework on Google Cloud Platform
  • Building data pipelines, leveraging Scala, Pub Sub, Akka, Dataflow on Google Cloud Platform
  • Design our data models for optimal storage and retrieval and to meet machine learning modeling using technologies like Bigtable and Vertex Feature Store
  • Contribute to shared Data Engineering tooling & standards to improve the productivity and quality of output for Data Engineers across the company

 

Minimum Basic Requirements

  • Python Expertise: Write and maintain Python frameworks and libraries to support data processing and integration tasks.
  • Code Management: Use Git and GitHub for source control, code reviews, and version management.
  • GCP Proficiency: Extensive experience working with GCP services (e.g., BigQuery, Cloud Dataflow, Pub/Sub, Cloud Storage).
  • Python Mastery: Proficient in Python with experience in writing, maintaining, and optimizing data processing frameworks and libraries.
  • Software Engineering: Strong understanding of software engineering best practices, including version control (Git), collaborative development (GitHub), code reviews, and CI/CD.
  • Data Management: Deep knowledge of data modeling, ETL/ELT, and data warehousing concepts.
  • Problem-Solving: Excellent problem-solving skills with the ability to tackle complex data engineering challenges.
  • Communication: Strong communication skills, including the ability to explain complex technical details to non-technical stakeholders.
  • Data Science Stack: Proficiency in data analysis and familiarity with tools such as Jupyter Notebook, pandas, NumPy, and other Python data analysis libraries.
  • Frameworks/Tools: Familiarity with machine learning and data processing tools and frameworks such as TensorFlow, Apache Spark, and scikit-learn.
  • Bachelor’s or master’s degree in computer science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field or software development training program

 

Preferred Qualifications

  • Experience in Scala, Java, and/or any functional language. We code primarily in Scala, so you’ll be excited to either ramp or continue with such
  • Experience in microservices architecture, messaging patterns, and deployment models
  • Experience in API design and building robust and extendable client/server contracts

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