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Data Engineer C2C Jobs (NOW HIRING)

Computer Recruiters, Inc.

Sr Data Engineer

Calabasas, CA · Hybrid

$145K - $155K/yr

No C2C, No CTH, * No telecommuting, NO will rent an apt there, and go home on weekends * End client ... The Senior Data Engineer will be an integral part of the Integrations team within our Information

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Lead Data Engineer

Fulton, MD · On-site

$100.10K - $131.80K/yr

NOTE : This is a full-time employment opportunity (open to W2, 1099 or C2C, no third parties ... The Lead Data Engineer is responsible for building and maintaining scalable data pipelines and ...

Mastech Digital

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 ...

Winaxis

Sr. Data Engineer with GCP

Bentonville, AR · On-site

$60/hr

Senior Data Engineer (GCP) - Location: Bentonville, AR or Sunnyvale, CA (Day 1 onsite ... US Citizen only - Experience: 12+ years overall; 4+ years recent GCP - Rate: $60/hr on C2C ...

Mastech Digital

Senior Data Engineer

Austin, MN · On-site

$117K - $164K/yr

We are currently seeking a Senior Data Engineer for our client in the Manufacturing domain. We ... Must be able to work on a W2 basis (No C2C) Recruiter Name: Anshika Pasahan Recruiter Phone: 484 ...

ARC Group

Azure Cloud Data Engineer

Weston, FL · Remote

$108.90K - $130.80K/yr

This is 100 REMOTE and a full-time direct hire and requires you to currently hold permanent work authorization (no C2C). The Azure Data Engineer is 100% remote and working in the eastern time zone ...

ARC Group Inc

Azure Cloud Data Engineer

Weston, VT · Remote

$116.50K - $139.90K/yr

This is 100 REMOTE and a full-time direct hire and requires you to currently hold permanent work authorization (no C2C). The Azure Data Engineer is 100% remote and working in the eastern time zone ...

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How much do data engineer c2c jobs pay per year?

As of May 29, 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 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 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.
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Data Engineer C2C jobs near you
Senior Data Engineer - Spark & Big Data Platforms

Senior Data Engineer - Spark & Big Data Platforms

Strategic Staffing Solutions

Charlotte, NC

$54.50 - $72/hr

Other

Posted 3 days ago

Job description

Job Description STRATEGIC STAFFING SOLUTIONS HAS AN OPENING. This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C eligibility for this position.

Visa Sponsorship is Available. The details are below. "Beware of scams.

S3 never asks for money during its onboarding process." Job Title: Senior Data Engineer - Spark & Big Data Platforms Contract Length: 12+ Month contract On Site Work Location: CHARLOTTE, NC 28202 Ref# 245282 Seeking an experienced Data Engineer to design, develop, and optimize scalable data processing solutions using Java or Scala with Spark. This role involves hands-on engineering, performance tuning, and collaboration with cross-functional teams to build robust distributed data systems. Required Qualifications Experience with Java/Spark or Scala/Spark Experience using version control tools such as GIT Experience with CI/CD processes Experience with build tools such as Gradle and Maven Strong knowledge of database concepts Strong knowledge of UNIX bash scripting Experience with Spark and SQL Experience leading other engineers and designing solutions Experience abstracting and decomposing software into services Proficiency in: Java or Scala, Spark, SQL, Shell scripting Good to Have Hands-on experience working with Hadoop ecosystem and big data technologies/stores such as Hive, Kafka, S3, and Iceberg Spark performance tuning knowledge Data modeling and normalization knowledge Experience developing cloud-native applications and cloud deployment (AWS or GCP)

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