1

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

Data Engineer II

Manhattan, NY ยท 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 ...

Senior Data Engineer

New York, NY ยท On-site

$165K - $230K/yr

Position Summary We're hiring a Senior Data Engineer to own data at truly massive scale. You'll ... We allow for WFH days when anyone is traveling, but we do not allow for permanent remote work.

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 ...

Data Engineer

Manhattan, NY ยท On-site

$85 - $95/hr

Permanent* Experienced Professionals* Data & AI* ID 528758-en\_USChoosing Capgemini means choosing ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

Troubleshoot production issues, perform root-cause analysis, and implement permanent fixes ... Mentor junior and mid-level Ab Initio developers. * Collaborate with data architects, DBAs, and ...

Troubleshoot production issues, perform root-cause analysis, and implement permanent fixes ... Mentor junior and mid-level Ab Initio developers. * Collaborate with data architects, DBAs, and ...

Troubleshoot production issues, perform root-cause analysis, and implement permanent fixes ... Mentor junior and mid-level Ab Initio developers. * Collaborate with data architects, DBAs, and ...

next page

Showing results 1-20

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:

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.

Sr. Data Engineer (MDM experience is MUST) - Iselin, NJ - Contract c2c

Zodiac Solutions

Iselin, NJ โ€ข On-site

$116K - $139K/yr

Contractor

Re-posted 13 hours ago


Job description

Role: Sr. Data Engineer (MDM experience is MUST)

Location: Iselin, NJ

Duration: Contract opportunity-c2c

Required Qualifications:

  • 12+ years of experience in data engineering, with a proven track record of MDM implementations, preferably in the financial services industry.
  • Extensive hands-on experience designing and deploying MDM solutions and comparing MDM platform options.
  • Strong functional knowledge of reference data sources and domain-specific data standards.
  • Expertise in Python, Pyspark, Kafka, microservices architecture (particularly GraphQL), Databricks, Snowflake, Azure Data Factory, SQL, and orchestration tools such as Airflow or Astronomer.
  • Familiarity with CI/CD practices, tools, and automation pipelines.
  • Ability to work collaboratively across teams to deliver complex data solutions.
  • Experience with financial systems (capital markets, credit risk, and regulatory compliance applications).

Preferred Qualifications:

  • Familiarity with financial data models and regulatory requirements.
  • Experience with Azure cloud platforms
  • Knowledge of data governance, data quality frameworks, and metadata management.
 
Thanks,
Sanjay Kumar
sanjay.kumar@zodiac-solutions.com