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Permanent 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 ...

NS IT Solutions

Senior Azure Data Engineer

$108K - $147K/yr

C2C Visa Preference: GC / USC Preferred. We are hiring an experienced Senior Azure Data Engineer for an exciting opportunity with CVS. Key Requirements: • 10+ years of Data Engineering experience ...

YO AI Labs

Senior Data Engineer

Glendale, CA

$112K - $152K/yr

Candidates must be willing to work on W2, no C2C. * 5+ years of data engineering experience specifically developing large-scale data pipelines. * Databricks and Python expertise. Qualifications: * 5+ ...

talentmovers inc

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 ...

MSR Technology Group

Senior Data Engineer

Springfield, IL · Remote

$105K - $142K/yr

S.) No C2C, Third-Party Vendors, Sponsorship, or Employer Representatives. Direct candidates only. We are seeking a Senior Data Engineer with strong ETL, Python, and cloud data engineering experience ...

Bright Mind Solutions LLC

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 ...

Conch Technologies Inc

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Only W2 no C2C Job Summary We are looking for a Senior Data Engineer with strong hands-on experience building and supporting modern data platforms. The ideal candidate will have expertise in cloud ...

Symhas

GCP DATA ENGINEER

Denver, CO · On-site

$117K - $141K/yr

On-site / Hybrid Position Type Contract (1099 / C2C) Duration 6-12 Months (with extension potential ... Data Engineer to join our team on a contract basis in Denver, Colorado. The ideal candidate will ...

Releady

Data Engineer, Consultant

Denver, CO · On-site +1

$140K - $160K/yr

Not eligible for C2C. * Pay Rate: $70-$80/hr * Duration: 6-month contract-to-hire * Location ... Provide technical leadership and mentorship to Data Engineers and Senior Data Engineers through ...

Green River Data Group Inc.

Data Engineer

$117K - $140K/yr

About the Role: Join our growing data team at Green River as a Data Engineer. This role will ... permanent residents (i.e., possess a Green Card)

DevSelect

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Permanent hire The Client is searching for an experienced data engineer. This person will be responsible for building and managing an array of data acquisition services. The Ideal candidate will ...

Green River Data Group Inc.

Data Engineer

$117K - $140K/yr

About the Role: Join our growing data team at Green River as a Data Engineer. This role will ... permanent residents (i.e., possess a Green Card)

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All Jobsfull time JobsPermanent Data Engineer C2C Jobs

Permanent Data Engineer C2C information

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$44.5K

$129.7K

$177.5K

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

As of Aug 18, 2026, the average yearly pay for permanent 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 permanent data engineer C2C?

Permanent Data Engineer C2C jobs refer to full-time data engineering positions where the hiring arrangement is on a 'Corp-to-Corp' (C2C) basis. In C2C contracts, a candidate works as an employee of a consulting or staffing company, which then contracts their services out to a client company. As a Permanent Data Engineer, you would be responsible for designing, building, and maintaining data systems, pipelines, and databases to support organizational data needs on a long-term basis. This setup allows for both the stability of a permanent role and the flexibility of a consulting arrangement.

What skills and qualifications are needed to thrive as a permanent data engineer C2C?

To thrive as a Permanent Data Engineer (C2C), you need strong expertise in data modeling, ETL processes, SQL, and programming languages like 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 technologies (AWS, Azure, or GCP), and relevant certifications such as AWS Certified Data Analytics are highly valued. Excellent problem-solving, collaboration, and communication skills help you work efficiently with cross-functional teams and translate data requirements into actionable solutions. These skills and qualifications ensure the development, optimization, and maintenance of data pipelines that support robust business decision-making.

What challenges might a permanent data engineer C2C face when working with different client teams?

As a Permanent Data Engineer working C2C (Corp-to-Corp), you may encounter challenges like adapting quickly to various clients' tech stacks and data infrastructures. Communication can be complex, as you'll often collaborate with cross-functional teams who may have differing priorities or familiarity with data engineering concepts. Ensuring data quality and consistency across disparate systems is another common hurdle. Staying organized and proactive in documenting your work will help you succeed in these dynamic environments.

What is the difference between Permanent Data Engineer C2C vs Contract Data Engineer?

AspectPermanent Data Engineer C2CContract Data Engineer
Employment TypeFull-time, permanent employment with benefitsTemporary, project-based engagement without benefits
Work EnvironmentTypically in-house or long-term remoteOn-site or short-term remote, often at client sites
Credentials & CertificationsOften requires relevant certifications (e.g., AWS, Azure)Similar certifications may be preferred but not always mandatory
Industry UsageCommon in large organizations with ongoing data needsFrequent in consulting or project-specific roles

In summary, Permanent Data Engineer C2C roles offer stability and benefits, while Contract Data Engineer positions provide flexibility for short-term projects. Your choice depends on your career goals and preferred work environment.

More about Permanent Data Engineer C2C jobs

What cities are hiring for Permanent Data Engineer C2C jobs?

Cities with the most Permanent Data Engineer C2C job openings:

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 Permanent Data Engineer C2C jobs?

States with the most job openings for Permanent Data Engineer C2C jobs include:

What job categories do people searching Permanent Data Engineer C2C jobs look for?

The top searched job categories for Permanent Data Engineer C2C jobs are:

Permanent Data Engineer C2C jobs near you
Infographic showing various Permanent Data Engineer C2C job openings in the United States as of August 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.

Data Engineer & Big Data ML Engineer

Argyllinfotech

Plano, TX • On-site

$65/hr

Contractor

Posted 21 days ago

Job description

 
Hiring: Data Engineer / Big Data ML Engineer | Plano, TX (100% Onsite) | Capital One

Location: Plano, TX (100% Onsite)
End Client: Capital One Financial Corporation
Employment Type: Contract (09/08/2026 – 03/31/2027)
Our Rate: $65/hr C2C | $61/hr W2
‍ Experience: 8+ Years

We are looking for an experienced Data Engineer / Big Data ML Engineer to build scalable, high-performance data platforms supporting enterprise analytics and Machine Learning initiatives. If you're passionate about Big Data, distributed computing, cloud technologies, and real-time data engineering, we'd love to hear from you!

Key Responsibilities

✅ Design, build, and maintain scalable batch and real-time data pipelines.
✅ Develop distributed data processing solutions using Apache Spark, Kafka, Hadoop, and Amazon EMR.
✅ Build robust ETL/ELT frameworks for enterprise-scale data processing.
✅ Design cloud-native data solutions on AWS, Azure, or GCP.
✅ Develop data engineering solutions using Java, Python, and SQL.
✅ Implement event-driven architectures and real-time data processing.
✅ Build workflow orchestration solutions using Airflow, AWS Step Functions, Azure Data Factory, or Prefect.
✅ Optimize pipeline performance, scalability, monitoring, and data quality.
✅ Collaborate with Data Scientists, ML Engineers, DevOps, and Product Teams.
✅ Support production environments, troubleshoot pipeline issues, and drive continuous improvements.

Required Skills

✔️ 8+ years of Data Engineering / Big Data experience.
✔️ Strong expertise in Java, Python, and SQL.
✔️ Hands-on experience with Apache Spark, Apache Kafka, Hadoop, and Amazon EMR.
✔️ Strong knowledge of ETL/ELT, Data Pipelines, and Distributed Computing.
✔️ Experience building Real-Time Data Processing and Event-Driven Architectures.
✔️ Experience with AWS, Azure, or Google Cloud Platform (GCP).
✔️ Knowledge of Snowflake, Redshift, BigQuery, Azure Synapse, or similar cloud data warehouses.
✔️ Experience with Agile, Git, CI/CD, and DevOps collaboration.

⭐ Preferred Skills

✅ Machine Learning data pipelines & Feature Engineering.
✅ Airflow, Prefect, AWS Step Functions, or Azure Data Factory.
✅ Data Lake / Lakehouse technologies (Delta Lake, Apache Iceberg, Apache Hudi).
✅ Data Quality Frameworks and Monitoring/Observability tools.
✅ Financial Services or other regulated industry experience.

Interested candidates, please share your updated resume