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Permanent Data Engineer C2C Jobs in Raleigh, NC (NOW HIRING)

Sr AI/ML Engineer

Durham, NC ยท Hybrid

$180K - $220K/yr

  • Medical

Collaboration & Mentorship โ€ข Work under AI Engineering Manager and partner with data science and ... Experience Level Expert Level Job Type & Location This is a Permanent position based out of Durham ...

Sr AI/ML Engineer

Durham, NC ยท Hybrid

$180K - $220K/yr

  • Medical

Collaboration & Mentorship โ€ข Work under AI Engineering Manager and partner with data science and ... Experience Level Expert Level Job Type & Location This is a Permanent position based out of Durham ...

Senior ETL Test Engineer

Raleigh, NC ยท Remote

$91K - $163K/yr

  • Retirement

... engineering teams * Validate Power BI datasets, semantic models, and dashboards by ensuring ... permanent fixes * Leverage AIassisted data quality practices, including: * GenAIbased rule ...

Senior ETL Test Engineer

Raleigh, NC ยท On-site

$91K - $163K/yr

  • Retirement

... engineering teams * Validate Power BI datasets, semantic models, and dashboards by ensuring ... permanent fixes * Leverage AI-assisted data quality practices, including: * GenAI-based rule ...

Data Scientist

Cary, NC ยท On-site

$85.79 - $97.27/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Permanent* Experienced Professionals* Data & AI* ID 526186-en\_USChoosing Capgemini means choosing ... Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics ...

Front End Developer

Durham, NC

$100K - $116K/yr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. No C2C Please. Key Deliverables: As Front End Developer the successful ...

AI Engineer

Raleigh, NC ยท Remote

$130K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The start date is end of July / early August for this permanent salaried position with a one-year ... Support data accessibility initiatives tied to the client's internal data warehouse and ETL ...

Senior Validation Engineer

Durham, NC ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... with cGMP, data integrity, and regulatory requirements. Lead and execute commissioning ... No C2C at this time. Benefits Offering a full suite of benefits, PSC Biotech is firmly focused on ...

Senior Validation Engineer

Durham, NC ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Thorough understanding of cGMP regulations, FDA requirements, GAMP 5, 21 CFR Part 11, and data ... No C2C at this time. Benefits Offering a full suite of benefits, PSC Biotech is firmly focused on ...

Showing results 21-40

Permanent Data Engineer C2C information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

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

As of Aug 19, 2026, the average yearly pay for permanent data engineer c2c in Raleigh, NC is $126,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 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.

What are the most commonly searched types of Data Engineer C2C jobs in Raleigh, NC?

The most popular types of Data Engineer C2C jobs in Raleigh, NC are:

What job categories do people searching Permanent Data Engineer C2C jobs in Raleigh, NC look for?

The top searched job categories for Permanent Data Engineer C2C jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Permanent Data Engineer C2C jobs?

Cities near Raleigh, NC with the most Permanent Data Engineer C2C job openings:

Infographic showing various Permanent Data Engineer C2C job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $126,095 per year, or $60.6 per hour.

Analysis Engineer - Process Modeling

Vulcan Elements

Durham, NC โ€ข On-site

Full-time

Re-posted 4 days ago


Job description

Vulcan Elements is manufacturing American rare-earth permanent magnets for a secure, resilient future. With a focus on national security and economic resiliency, we serve critical industries such as defense, aerospace, and automotive powering a high-technology future. Vulcan Elements is building a team of ambitious professionals committed to Mission Focus, Technical Excellence and Transparency.

We are seeking an Analysis Engineer - Process Modeling to develop and apply physics-based simulations of our NdFeB permanent magnet manufacturing processes. This individual will build and validate computational models of fluid dynamics, heat transfer, electromagnetic behavior, and mechanical response across key process steps, providing engineering insight that drives process optimization and supports product development. This is a technical role requiring strong fundamentals in computational mechanics, experience with commercial simulation platforms, and the ability to translate modeling results into actionable manufacturing guidance.

Responsibilities

  • Model thermal conditions during manufacturing processes such as sintering, heat treatment, and casting.
  • Create representative models for various manufacturing processes including fluid dynamics, mechanical behavior, heat transfer, and electromagnetic phenomena.
  • Use models combined with process data to support process improvement and optimization.
  • Build and refine simulations using ANSYS (Mechanical, Maxwell, ROCKY, Fluent), COMSOL Multiphysics, or equivalent commercial simulation platforms.
  • Collaborate with process, materials, and data engineers to integrate simulation outputs into process development and optimization workflows.
  • Design simulation studies to evaluate process sensitivities, identify failure modes, and guide experimental campaigns.
  • Document modeling assumptions, boundary conditions, validation results, and recommendations in a structured manner consistent with quality system requirements.
  • Support development of custom scripts and automation tools (Python, MATLAB, or similar) for pre/post-processing of simulation data.

Responsibilities and tasks outlined are not exhaustive and may change as determined by the needs of the business.

Qualifications

  • B.S. or higher in Mechanical Engineering, Aerospace Engineering, Materials Science and Engineering, or a closely related field.
  • Demonstrated experience building and validating process models using ANSYS (e.g., Mechanical, Maxwell, ROCKY, Fluent), COMSOL Multiphysics, or equivalent commercial simulation software.
  • Strong working knowledge of computational fluid dynamics (CFD), heat transfer modeling, and mechanical stress/strain analysis.
  • Proficiency with scripting languages (Python, MATLAB, or similar) for simulation setup, data extraction, and post-processing.
  • Ability to work independently, manage multiple concurrent modeling efforts, and communicate results clearly to cross-functional teams.

Must be a U.S. Person due to required access to U.S. export-controlled information or facilities.

Preferred Qualifications

  • Experience modeling metal manufacturing processes such as sintering, casting, powder compaction, forging, or heat treatment.
  • Experience modeling particle-level interactions including powder packing, granular flow, or discrete element methods (DEM).
  • Experience with electromagnetic modeling and simulation (e.g., ANSYS Maxwell) for magnetic field analysis or electromagnetic process design.
  • Familiarity with phase-field, CALPHAD, or other microstructure-evolution modeling approaches.
  • Experience with multiphysics coupled simulations (e.g., thermo-mechanical, fluid-structure interaction).
  • Familiarity with GPU-accelerated computing, HPC environments, or cloud-based simulation platforms.
  • Experience in a production, industrial, or R&D environment with exposure to manufacturing constraints and process validation.

Laboratory Safety and PPE Requirements

This position requires strict adherence to laboratory safety protocols and regulatory guidelines. Employees must consistently wear appropriate personal protective equipment (PPE), including lab coats, safety glasses, gloves, and any additional gear required for specific procedures or chemical handling. The role involves working with potentially hazardous materials, equipment, and processes, and team members must follow all established safety rules, maintain a clean and compliant work area, and promptly report any unsafe conditions. The individual must be able to complete required training, apply proper safety practices, and demonstrate a strong commitment to maintaining a safe laboratory environment.