ZipRecruiter

Log In

1

Permanent Data Engineer C2C Jobs (NOW HIRING)

talentmovers inc

Azure Data Engineer

Dallas, TX · On-site

$113.30K - $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 ...

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 ...

CGT Staffing

Azure Data Engineer

Pittsburgh, PA · On-site +1

$107K - $128.50K/yr

This role is Direct Hire on W2, no C2C or third party candidates The Data/ Cloud Platform Manager ... This position plays a critical role in driving enterprise data engineering, analytics, machine ...

New

Ambition International LLC

Data Engineer

Charlotte, NC

$111.80K - $134.30K/yr

Direct Client Data Engineer Charlotte, NC 6-month - W2 contract-to-permanent / FTE role HYBRID in Charlotte 3 days The team is looking for someone who can combine hands-on data engineering depth with ...

Apex Systems

Data Engineer

Jersey City, NJ

$65 - $68.26/hr

Job#: 3034130 Data Engineer Location: Jersey City, New Jersey (hybrid) Employment Type ... Contract Duration: 12 months We are not looking for a 3rd party consultant no C2C require. We are ...

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

Join Our Team

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 ...

DevSelect

Data Engineer

Chicago, IL · On-site

$118K - $141.60K/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 ...

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 ...

KēSTA I.T.

Data Engineer

Draper, UT

$100K - $114K/yr

T. is actively seeking a Data Engineer for an immediate full-time opportunity with our industry ... We specialize in temporary and permanent placement of Software, Hardware, Network, Cloud, CRM/ERP, ...

New

next page

Showing results 1-20

People also search for

All JobsPermanent Data Engineer C2C Jobs

Permanent Data Engineer C2C information

See salary details

$44.5K

$129.7K

$177.5K

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

As of May 29, 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 are the key skills and qualifications needed to thrive as a Permanent Data Engineer (C2C), and why are they important?

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 are some typical challenges a Permanent Data Engineer on a C2C basis might 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 are Permanent Data Engineer C2C jobs?

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 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 May 2026, with employment types broken down into 1% Locum Tenens, 3% As Needed, 75% Full Time, 7% Part Time, 1% Temporary, and 13% Contract. Highlights an 90% Physical, 5% Hybrid, and 5% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Azure Data Engineer

Azure Data Engineer

talentmovers inc

Dallas, TX • On-site

$113.30K - $136K/yr

Contractor

Posted 4 days ago

Job description

Title : Lead/ Senior Azure Data Engineer 

Location : Dallas, TX

Rate :  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 the Azure platform. They work with data architects, data scientists, and other stakeholders to ensure data solutions are scalable, reliable, and secure.

Job Description:

Job Responsibilities

·       Design and implement Data Ingestion from multiple sources to Azure Data Storage services.

·       Implement Azure data services and tools to ingest, egress, and transform data from multiple sources.

·       Responsible for creating an ETL pipeline with Azure Ecosystem like Azure Data Bricks, Azure Data Factory.

·       Build simple to complex pipelines, activities, Datasets & data flows

·       Utilize Azure compute services [Databricks, Data Lake Store, PySpark, Apache Spark, Synapse, Data Factory] to implement transformation logic and stage transformed data.

·       Design data ingestion into data modelling services to create cross domain data models for end user consumption.

·       Implement ETL, related jobs to curate, transform and aggregate data to create source models for end user analytics use cases.

·       Scheduling automation and monitoring instrumentation for data movement jobs.

·       Working experience with Azure monitor and Azure log Analytics.

·       Background work on legacy data warehouses and Big Data will be plus.

·       Should have fair knowledge of the consumption layer (BI) and the business processes.

·       Implement/Support Azure DBaaS infrastructure and services

·       Experience working in Agile/Scrum/Kanban team environments

Candidate Profile / Qualification

·       A Minimum of a Bachelor’s degree in Computer Science or related software engineering discipline, or equivalent

·       9-12 years of experience managing SQL Queries, Data Lake, Data Bricks, PySpark, Synapse, Data factory etc.

·       Strong ETL pipeline development experience with Azure Ecosystem like Azure Data Bricks, Azure Data Factory. Build simple to complex notebooks, pipelines, activities, Datasets & data flows.

·       Experience with message ingestion systems like Kafka / Azure Event Hub.

·       Experience in data modelling and Proficient in SQL developer skills in writing stored procedures, functions, transformations etc.

·       Experience in PySpark and data factory is must

·       Knowledge in Service provisioning, scripted provisioning, blueprint development for data service deployment etc.

·       Excellent oral and written communication skills.

·       Candidate should possess a strong work ethic, good interpersonal and communication skills, and a high energy level