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Contract Gcp Data Engineer Jobs (NOW HIRING)

GCP Data Engineer

Phoenix, AZ · Remote

$117K - $140K/yr

We are seeking an experienced Data Engineer to join our team, specifically focused on building large-scale ETL/ELT pipelines and analytical architectures within the GCP ecosystem. We are seeking an ...

New

GCP Data Engineer (W2 Position)

Dearborn, MI · On-site

$105K - $126K/yr

GCP Data Engineer (W2 Position) Location : Dearborn, MI (Hybrid) Duration: 12+ Months Experience: 8+ Years Experience Required: * 8 years of professional experience in Data engineering, data product ...

GCP Data Engineer

Phoenix, AZ

$113K - $136K/yr

We are seeking an experienced Data Engineer to join our team, specifically focused on building large-scale ETL/ELT pipelines and analytical architectures within the GCP ecosystem. We are seeking an ...

GCP Data Engineer

$117K - $140K/yr

Data engineer with GCP Location : Remote Skills:- * Experience working in GCP based Big Data deployments (Batch/Real-Time)Leveraging Big Query,Fusion, Dataflow, Dataproc, etc. * Demonstrated mastery ...

GCP Data Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

We are seeking an experienced Data Engineer to join our team, specifically focused on building large-scale ETL/ELT pipelines and analytical architectures within the GCP ecosystem. We are seeking an ...

Advise engineering, data, and AI teams on best practices. * Foster an AI-assisted, platform-first culture and mentor engineers. Skills Required * GCP Skills Preferred * Artificial Intelligence ...

Advise engineering, data, and AI teams on best practices. * Foster an AI-assisted, platform-first culture and mentor engineers. Skills Required * GCP Skills Preferred * Artificial Intelligence ...

GCP Data Engineer

Dearborn, MI · On-site

$61 - $66/hr

Advise engineering, data, and AI teams on best practices. * Foster an AI-assisted, platform-first culture and mentor engineers. Skills Required * GCP Skills Preferred * Artificial Intelligence ...

Sr GCP Data Engineer

Manhattan, NY · On-site

$117K - $158K/yr

Senior GCP Data Engineer Location: New York, Onsite. USC & GC only Key Responsibilities * Design, build, and optimize end-to-end data pipelines using GCP-native services such as Dataflow, Dataproc ...

GCP Data Engineer

Dallas, TX · On-site

$107K - $129K/yr

As a Data engineer (successfully lead the delivery of projects including end-to-end requirements ... Knowledge on building data pipelines leveraging GCP best methodologies * Strong understanding ...

Advise engineering, data, and AI teams on best practices. * Foster an AI-assisted, platform-first culture and mentor engineers. Skills Required * GCP Skills Preferred * Artificial Intelligence ...

GCP Data Engineer

New York, NY · Remote

$117K - $140K/yr

Design, develop, and optimize scalable data pipelines and ETL/ELT workflows using GCP technologies, Apache Beam, Airflow, Python, and SQL. * Lead technical decision-making, establish engineering best ...

GCP Data Engineer

$117K - $140K/yr

... a GCP Data Engineer • Experience building pipelines • Experience with API Development, pub sub, BigQuery, Cloudrun • Experience with modern programming languages like Java, Python, Ruby, etc ...

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Contract Gcp Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do contract gcp data engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for contract gcp data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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 Contract GCP Data Engineers?

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, and why are they important?

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 cities are hiring for Contract Gcp Data Engineer jobs? Cities with the most Contract Gcp Data Engineer job openings:
What are the most commonly searched types of Gcp Data Engineer jobs? The most popular types of Gcp Data Engineer jobs are:
What states have the most Contract Gcp Data Engineer jobs? States with the most job openings for Contract Gcp Data Engineer jobs include:
GCP Data Engineer

GCP Data Engineer

Ruri Software Technologies LLC

Santa Clara, CA • On-site

$134K - $161K/yr

Full-time

Posted 9 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 StorageCloud 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