1

Contract 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 ...

Data Engineer

Los Angeles, CA ยท On-site

$60/hr

... Contract Rate $60/hr. on W2 * Serve as developer of key DTC analytical models like customer ... Experience with cloud-based environments (AWS, GCP, Databricks) and MLOps practices * Strong ...

next page

Showing results 1-20

Contract Gcp Data Engineer information

What is a contract GCP data engineer?

Contract GCP Data Engineers are professionals hired on a temporary or project basis to design, build, and manage data solutions using Google Cloud Platform (GCP) services. They specialize in tasks such as data ingestion, transformation, storage, and analysis using GCP tools like BigQuery, Dataflow, and Cloud Storage. These engineers work with organizations to support cloud-based data initiatives, often collaborating with data scientists, analysts, and other engineering teams. Their contract-based role allows companies to scale up cloud data operations quickly without committing to permanent hires.

What are the key skills and qualifications needed to thrive as a contract GCP data engineer?

To thrive as a Contract GCP Data Engineer, you need expertise in data engineering, ETL pipeline development, and proficiency in programming languages like Python or Java, often backed by a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP) services such as BigQuery, Dataflow, and Pub/Sub, as well as relevant certifications like Google Professional Data Engineer, is typically required. Strong problem-solving skills, effective communication, and the ability to adapt quickly to new environments set top candidates apart. These skills ensure efficient data processing, seamless collaboration, and successful project delivery within dynamic cloud-based infrastructures.

What are some common challenges contract GCP data engineers face when integrating data from multiple sources in cloud environments?

Contract GCP Data Engineers often encounter challenges with data consistency, schema mismatches, and handling large-scale data ingestion from various on-premise and cloud-based sources. Adapting to different data formats and ensuring secure, efficient data transfer are critical, especially when working with new clients or legacy systems. Collaboration with stakeholders, such as data analysts and architects, is key to clarifying requirements and troubleshooting issues quickly. Mastery of GCP tools like Dataflow, BigQuery, and Pub/Sub helps streamline integration, but staying flexible and proactive in communication is essential for success.

What is the difference between Contract Gcp Data Engineer vs Cloud Data Engineer?

AspectContract Gcp Data EngineerCloud Data Engineer
CertificationsGCP certifications (e.g., Professional Data Engineer)Cloud platform certifications (AWS, Azure, GCP)
Work EnvironmentContract roles, project-based, often remoteFull-time or contract, cloud-focused projects
Industry UsageUsed in companies leveraging GCP infrastructureUsed across multiple cloud providers, including GCP
Skills FocusGCP tools (BigQuery, Dataflow, Pub/Sub)Multiple cloud data tools, cloud architecture

The Contract Gcp Data Engineer specializes in GCP-specific data solutions on a contract basis, focusing on GCP tools and certifications. In contrast, a Cloud Data Engineer may work across various cloud platforms, with broader cloud architecture skills. Both roles require cloud data expertise but differ in platform specialization and employment type.

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 Contract Gcp Data Engineer jobs in California look for?

The top searched job categories for Contract Gcp Data Engineer jobs in California are:

What cities in California are hiring for Contract Gcp Data Engineer jobs?

Cities in California with the most Contract Gcp Data Engineer job openings:

Infographic showing various Contract Gcp Data Engineer job openings in California as of August 2026, with employment types broken down into 56% Full Time, and 44% Contract. Highlights an 87% In-person, and 13% Remote job distribution.

GCP Data Engineer

Ruri Software Technologies LLC

Santa Clara, CA โ€ข On-site

$135K - $162K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


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