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Gcp Data Engineer C2C Jobs (NOW HIRING)

Cloud BC Labs

GCP Data Engineer

Dearborn Heights, MI · On-site

C2C/W2 role Exp : 10+ Yrs : Basic Requirement: Seeking an experienced Data Engineer to design, build, and maintain our data infrastructure on Google Cloud Platform (GCP). The ideal candidate will ...

CEDENT

GCP Data Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

Local Candidate only, Alpharetta, GA Overview We are seeking a highly skilled Data Engineer / Cloud Data Solutions engineer with experience in Google Cloud Platform (GCP) to design, build, and ...

IT America Inc

GCP Data Engineer

Richardson, TX · On-site

$104K - $124K/yr

GCP Data Engineer Location: Richardson, TX Duration: Long term contract Interview: F2F (Face to Face)/Onsite Job Summary: We are seeking an experienced Google Cloud Platform (GCP) Data Engineer to ...

Lorven Technologies

GCP Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Our client is looking GCP Data Engineer project , below is the detailed requirements. Position: GCP Data Engineer Location: Charlotte, NC; Oakland, CA or Mountain View, CA Long term * Bachelor ...

Interon IT Solutions

GCP Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

GCP Data Engineer Location: Richardson,Texas or Hartford,CT, (Hybrid / Onsite as required) Employment Type: Contract (W2) Role Overview Our client is seeking an experienced GCP Data Engineer to ...

Purple Drive Technologies

GCP Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

GCP Data Engineer We are seeking an experienced GCP Data Engineer with a strong background in data engineering, cloud technologies, and optimization. The ideal candidate will have expertise in Google ...

Sarian, Inc.

GCP Data Engineer

Brooklyn, OH · On-site

$107K - $129K/yr

GCP Data Engineer Location: Brooklyn, OH Fulltime position Onsite position JD: * GCP Data Engineer * Experience: * Realtime and batch data integration development experience using GCP services.

My3Tech Inc

GCP Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Collaborate with different business groups, users to understand their business requirements and design and deliver GCP architecture, Data Engineering scope of work * You will work on a large-scale ...

Donato Technologies, Inc

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

GCP Data Engineer role Phoenix, AZ Need a Vedio screening Required skills • BS or MS degree in computer science, computer engineering, or other technical discipline, or equivalent work experience ...

Purple Drive Technologies

GCP Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Overview: We are seeking a GCP Data Engineer with hands-on experience with Google Cloud Platform (GCP) services, particularly BigQuery, and be proficient in DBT (Data Build Tool) for data ...

Prophecy Technologies

GCP Data Engineer

Phoenix, AZ

$113K - $136K/yr

Role: GCP Data Engineer (Data Engineering & Analytics / Cloud Migration) Location: phoenix , AZ / Philadelphia , PA Competencies Must-Have: Strong experience in GCP (Google Cloud Platform) data ...

Staffworxs Inc

GCP Data Engineer

Chandler, AZ

$116K - $140K/yr

GCP Data Engineer At Staffworxs, we don't just connect talent -- we power transformation. Headquartered in Frisco, TX, with teams in Bengaluru and Hyderabad, we combine global reach with deep ...

CoSourcing Partners

GCP Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

GCP Data Engineer Duration: 6 months Contract to hire Location: Chicago is the preferred location, but open to candidates from anywhere in the U.S. Role Overview We are seeking a highly skilled GCP ...

Purple Drive Technologies

GCP Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

GCP Data Engineer: (Direct Applicants Only) - Full-Time The Senior Staff Data Engineer - API serves as a primary development resource for design, writing code, test, implementation, document ...

Prophecy Technologies

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Role: GCP Data Engineer (Data Engineering & Analytics / Cloud Migration) Location: phoenix , AZ / Philadelphia , PA Competencies Must-Have: Strong experience in GCP (Google Cloud Platform) data ...

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All JobsGcp Data Engineer C2C Jobs

Gcp Data Engineer C2C information

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$44.5K

$129.7K

$177.5K

How much do gcp data engineer c2c jobs pay per year?

As of Jun 11, 2026, the average yearly pay for gcp data engineer c2c 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 Gcp Data Engineer C2C vs Gcp Data Analyst C2C?

AspectGcp Data Engineer C2CGcp Data Analyst C2C
Required CredentialsGCP certifications, SQL, Python, data modelingGCP certifications, SQL, data visualization tools
Work EnvironmentData pipeline development, infrastructure setupData analysis, reporting, visualization
Employer & Industry UsageTech companies, consulting firms, financeMarketing agencies, retail, healthcare

Gcp Data Engineer C2C focuses on building and maintaining data pipelines and infrastructure, requiring technical skills like data modeling and cloud architecture. Gcp Data Analyst C2C emphasizes analyzing data, creating reports, and visualizations. While both roles require GCP certifications and SQL knowledge, their daily tasks and industry applications differ significantly.

What is a GCP Data Engineer C2C?

A GCP Data Engineer C2C is a data engineering professional who works on Google Cloud Platform (GCP) projects under a 'Corp-to-Corp' (C2C) contract arrangement. This means the individual is typically employed by a consulting firm or their own corporation and is contracted out to client companies for specific projects. Their main responsibilities include designing, building, and maintaining data pipelines, managing cloud infrastructure, and ensuring data security and compliance on GCP. C2C roles often offer flexibility and are common for specialized, project-based work in the tech industry.

What are some common challenges faced by GCP Data Engineers working on a C2C (Corp-to-Corp) basis, and how can they be addressed?

GCP Data Engineers working on a C2C basis often face challenges such as adapting quickly to new client environments, managing multiple project deadlines, and staying current with rapidly evolving Google Cloud technologies. Effective communication and proactive expectation management are key to ensuring smooth collaboration with client teams. Additionally, C2C contractors must stay organized with documentation and compliance requirements, while continuously upskilling through GCP training and certifications to remain competitive in the market.

What are the key skills and qualifications needed to thrive as a GCP Data Engineer (C2C), and why are they important?

To thrive as a GCP Data Engineer (C2C), you need expertise in data architecture, ETL processes, and proficiency with Google Cloud Platform services, often supported by a degree in computer science or related field. Familiarity with tools like BigQuery, Dataflow, Cloud Storage, and certifications such as Google Professional Data Engineer are typically expected. Strong problem-solving, communication, and collaboration skills help you work effectively in client-facing and cross-functional environments. These skills ensure efficient, scalable data solutions and enable successful project delivery in cloud-based data engineering roles.
Infographic showing various Gcp Data Engineer C2C job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
GCP Data Engineer

GCP Data Engineer

Cloud BC Labs

Dearborn Heights, MI • On-site

Other

Posted 17 days ago

Job description

Position : GCP Data Engineer
Location : Dearborn, Michigan (Onsite)
Term : C2C/W2 role
Exp : 10+ Yrs

Job Description :

Basic Requirement:
Seeking an experienced Data Engineer to design, build, and maintain our data infrastructure on Google Cloud Platform (GCP).
The ideal candidate will possess a strong understanding of data architecture, extensive GCP experience, and proficiency in SQL, Python, ETL/ELT tools, and BI tools.
This role will collaborate closely with product owners, analysts, and business stakeholders to ensure data accessibility, reliability, and security.
Qualifications:
  • Education: Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
  • Experience:
    • Minimum of 5 years of experience as a Data Engineer.
    • Proven experience in designing and building data pipelines and data infrastructure on Google Cloud Platform (GCP).
    • Strong understanding of data architecture principles, data modeling techniques, and data governance practices.
  • Technical Skills:
    • Cloud Computing: Expertise with Google Cloud Platform (GCP) data services, including BigQuery, Cloud Storage and Pub/Sub.
    • SQL: Advanced SQL skills, including data manipulation, data definition, and query optimization.
    • Programming: Proficiency in Python and experience with data engineering libraries such as Pandas, NumPy, and Apache Beam.
    • ETL/ELT Tools: Experience with ETL/ELT tools such as Apache Airflow, DataFlow/DataProc, or Qlik Data Integration.
    • Data Modeling: Experience with data modeling techniques (e.g., relational modeling, dimensional modeling, data vault).
    • BI Tools: Familiarity with BI tools such as Qlik Sense, Power BI, or Looker.
    • Data Warehousing: Understanding of data warehousing concepts and principles.
    • Data Governance: Knowledge of data governance principles and practices, some experience in DataPlex
    • Version Control: Experience with Git or other version control systems.
Bonus Points:
  • Google Cloud certifications (e.g., Google Cloud Certified Professional Data Engineer).
  • Experience with DevOps practices and tools (e.g., CI/CD, Terraform, Docker).

Cloud BC Labs Inc is a digital transformation organization aimed at creating seamless solutions for clients to effectively manage their business operations. The company specializes in Business and Management Consulting, AI/ML, Data Analytics & Visualization, Cloud Data Warehouse Migration, Snowflake Implementation, Informatica Implementation & Upgrade, Staffing Services and Data Management Solutions