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Permanent Data Engineer C2C Jobs in New York (NOW HIRING)

Mondo

Data Engineer II

Manhattan, NY · Remote

$117K - $140K/yr

Data Engineer II Location-Type: Remote (EST hours preferred) Start Date Is: ASAP Duration ... Permanent Compensation Range: $140-150K 10% bonus Benefits: Eligible for Health, Dental, Vision ...

Navtech, Inc.

Data Analyst

Manhattan, NY · On-site

New York, NY Duration : 12 months Only ON W2 No C2C : There are 2 data platforms; an older one ... Looking to have someone who fits the profile of either a Data Analyst or a Data Engineer refactor ...

Redolent, Inc.

US_West | Data Engineer_L2

NJ · On-site

$117K - $140K/yr

C2C/W2/1099QOpen for CTH (y/n): Timeslots for Skype interview (provide Skype ID) Due to additional ... Data Science and Analytics * Local Role Name : Analog Mixed-Signal (AMS) CAD Engineer * Local ...

New

Implify Inc

Big Data Engineer / Sr. Engineer

Jersey City, NJ · On-site

$58.25 - $77/hr

Jersey City NJ Full Time Permanent RESPONSIBILITIES Our Big Data capability team needs hands-on developers who can produce beautiful & functional code to solve complex analytics problems. If you are ...

Sonsoft Inc

Sr. Big Data -Engineer

Jersey City, NJ · On-site

$58.25 - $77/hr

... Services. - Our Big Data capability team needs hands-on developers who can produce beautiful ... Permanent job opportunity for you. Only US Citizen , Green Card Holder , GC-EAD , H4-EAD & L2-EAD ...

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Permanent Data Engineer C2C information

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 New York?

The most popular types of Data Engineer C2C jobs in New York are:

What are popular job titles related to Permanent Data Engineer C2C jobs in New York?

For Permanent Data Engineer C2C jobs in New York, the most frequently searched job titles are:

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

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

What cities in New York are hiring for Permanent Data Engineer C2C jobs?

Cities in New York with the most Permanent Data Engineer C2C job openings:

Permanent Data Engineer C2C jobs near you
Infographic showing various Permanent Data Engineer C2C job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Looking for Data Engineer C2C requirements

Tech Mirrors

Manhattan, NY • On-site

$140 - $210/hr

Other

Posted 3 days ago

New

Job description

Position: Data Engineer

Location: New York, NY (Need Only Local Profile)

Duration: 8+ months

Exp Level: 12+ years

Description:

We are seeking a skilled Data Engineer to design, build, and optimize scalable data pipelines that support business intelligence, analytics, and AI initiatives. The ideal candidate will have strong expertise in data integration, data modeling, and cloud-based data platforms.

Design, develop, and maintain robust ETL/ELT data pipelines.

Build and optimize large-scale data warehouses and data lakes.

Develop data models to support reporting, analytics, and operational needs.

Ensure data quality, integrity, governance, and security across platforms.

Work with structured and unstructured data from multiple sources.

Collaborate with business analysts, data scientists, and application teams.

Optimize SQL queries and data processing for performance and scalability.

Implement cloud-based data solutions using platforms such as AWS, Azure, or GCP.

Automate data workflows and monitoring using modern data engineering tools.

Support AI/ML initiatives by providing reliable and high-quality datasets.

Education: At least a bachelor’s degree (or equivalent experience) in Computer Science, Software/Electronics Engineering, Information Systems, or closely related field is required.

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