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Data Engineer C2C Jobs (NOW HIRING)

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 ...

Data Engineer - Journeyman

Fairfax, VA · On-site

$117K - $140K/yr

The role involves engineering data integration solutions for cybersecurity telemetry and ... SIEM, C2C, and DLP data sources. • Help maintain telemetry pipelines that leverage sources ...

Sr. Data Engineer

Boston, MA · On-site

$50 - $65/hr

We are seeking a hands-on Sr. Data Engineer with 5-8 years of experience to support critical data ... Only W2 Candidates, NO C2C Responsibilities: * Design, develop, maintain, and optimize scalable ...

We are currently seeking a Microsoft Fabric Data Engineer for our client in the Consulting Services ... Yes Note: Must be able to work on a W2 basis (No C2C) Recruiter Name: Gaurav Bhadana Recruiter ...

Data Engineer

$130K - $160K/yr

Data Engineer OM Group, Inc. is hiring a Data Engineer / Senior ETL (Extract, Transform, Load ... C2C Solicitation This is a direct hire position ineligible for third party partnering. OM Group ...

Data Engineer

Warren, MI · On-site

$45 - $50/hr

5 Days onsite role in Warren, MI Only W2 no C2C 50/hr on w2 max Specific Responsibilities of this Position: As a Data Engineer, you will build industrialized data assets and data pipelines in support ...

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

On C2C Job Summary: The Azure Data Engineer (Senior) is a highly experienced role responsible for leading the design, development, and maintenance of large-scale, complex data processing systems on ...

Data Engineer Advisor

Atlanta, GA · Hybrid

$90 - $95/hr

W2 or C2C Hybrid - 4 days/week in Midtown, Atlanta client office. We are currently seeking a Sr Data Engineer - Advisor to join our team in Atlanta, Georgia (US-GA), United States (US). Position ...

Data Engineer @ AUSTIN,TX

Austin, TX · On-site

$113K - $136K/yr

NO C2C; NO 1099 Position Summary We are seeking a Software Engineer (Data) / Data Engineer to support a critical data migration initiative. The role focuses on analyzing existing Hierarchical Data ...

Data Engineer IV

Salisbury, NC · Remote

$80 - $85/hr

We are currently seeking a Data Engineer IV for our client in the Retail domain. We value our ... Yes Note: Must be able to work on a W2 basis (No C2C) Recruiter Name: Usha Devi Recruiter Phone ...

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Data Engineer C2C information

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$44.5K

$129.7K

$177.5K

How much do data engineer c2c jobs pay per year?

As of Jun 19, 2026, the average yearly pay for 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 a Data Engineer C2C job?

A Data Engineer C2C (Corp-to-Corp) job refers to a contract position where a data engineer is hired through a third-party consulting firm or their own incorporated business. In this arrangement, the engineer provides services to a client company on a contractual basis, rather than being a direct employee. Data engineers in C2C roles focus on designing, building, and optimizing data pipelines, databases, and big data solutions. These roles often require expertise in SQL, Python, ETL tools, cloud platforms, and data modeling. C2C jobs are common in IT staffing, offering flexibility but requiring independent tax management and business structuring.

What does a typical workday look like for a Data Engineer C2C, and how does the contract-to-contract structure affect day-to-day responsibilities?

As a Data Engineer C2C, your typical workday involves designing, building, and optimizing data pipelines, collaborating with data scientists and analysts, and ensuring data quality and integrity. Since C2C refers to a contract-based engagement, you may work on multiple short- or long-term projects with different clients, requiring adaptability and strong project management skills. You’ll often attend virtual meetings, troubleshoot data issues, and deliver solutions on tight timelines. The contract structure allows for diverse experience and the opportunity to expand your professional network, but it also means staying proactive about seeking new projects and continuously updating your technical skills.

What are the key skills and qualifications needed to thrive in the Data Engineer C2C position, and why are they important?

To thrive as a Data Engineer C2C, you need strong skills in data modeling, ETL processes, database architecture, and proficiency in languages such as SQL, Python, or Scala, typically supported by a degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud data services (e.g., AWS, Google Cloud, Azure), and certifications like AWS Certified Data Analytics are highly beneficial. Excellent problem-solving, teamwork, and communication skills set standout candidates apart, enabling effective cross-functional collaboration. These skills are crucial for designing reliable data pipelines, ensuring data quality, and supporting the decision-making needs of organizations in a contract-to-contract (C2C) work environment.

What are the most commonly searched types of Data Engineer C2C jobs? The most popular types of Data Engineer C2C jobs are:
What states have the most Data Engineer C2C jobs? States with the most job openings for Data Engineer C2C jobs include:
Infographic showing various Data Engineer C2C job openings in the United States as of June 2026, with employment types broken down into 100% 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 25 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