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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 ...

Lead Data Engineer - GCP

Fremont, CA ยท On-site

$120 - $150/hr

Support CI/CD and Infrastructure as Code implementations Required Skills * 6-9 years of experience in Data Engineering * Strong expertise in GCP data ecosystem and cloud-native architectures * Deep ...

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 ...

... 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 ...

... 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 ...

... 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 Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing ...

... 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 ...

... 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 ...

... 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 ...

... 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 ...

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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 26, 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.

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.

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 are highly sought after by organizations seeking scalable data solutions.

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 August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

GCP Data Engineer

Ruri Software Technologies LLC

Santa Clara, CA โ€ข On-site

$135K - $162K/yr

Full-time

Re-posted 23 days ago


Job description

Hi,
Work Location: Santa Clara, CA (Resources to work from client location, no remote work)
Visa Type: Citizens/ GC
W2 Position
Data Engineer
We are looking for a highly skilled and motivated Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining scalable data infrastructure that drives business intelligence, advanced analytics, and machine learning initiatives. You must be comfortable working autonomously, navigating complex challenges, and driving projects to successful completion in a dynamic cloud environment.
Core Responsibilities
  • Design and Optimization: Design, implement, and optimize clean, well-structured, and performant analytical datasets to support high-volume reporting, business analysis, and data science model development.
  • Pipeline Development: Architect, build, and maintain scalable and robust data pipelines for diverse applications, including business intelligence, advanced analytics
  • Big Data & Streaming: Implement and support Big Data solutions for both batch (scheduled) and real-time/streaming analytics.
  • Collaboration: Work closely with product managers and business teams to understand data requirements and translate them into technical solutions.

Required Skills & Experience
  • Cloud Platform Expertise (GCP Focus): Extensive hands-on experience working in dynamic cloud environments, with a strong preference for Google Cloud Platform (GCP) services, specifically:
    • BigQuery: Expert-level skills in data ingestion, performance optimization, and 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 programming proficiency in Python, including experience with relevant data engineering libraries
    • SQL: A solid command of advanced SQL for complex querying, data processing, and performance tuning.
  • Data Pipeline Orchestration: Prior experience using workflow management and orchestration tools (e.g., Apache Airflow, Cloud Composer, Airflow,Dagster, or similar).
  • DevOps/CI/CD: Experience with version control (Git) and familiarity with CI/CD practices and tools (e.g., GitLab, GitHub Actions) to automate deployment and testing processes.

Regards,
Surya
Email: surya@rurisoft.com