ZipRecruiter

Log In

1

Data Engineer C2C Jobs (NOW HIRING)

Releady

Data Engineer, Consultant

Denver, CO · On-site

$96.43 - $110.21/hr

Not eligible for C2C. * Pay Rate: $70-$80/hr * Duration: 6-month contract-to-hire * Location ... Influence and evolve the data engineering standards, patterns, and frameworks used by delivery ...

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 ...

ARC Group

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

This is 100 REMOTE and a full-time direct hire and requires you to currently hold permanent work authorization (no C2C). The Azure Data Engineer is 100% remote and working in the eastern time zone ...

Vaco by Highspring

Azure Data Engineer

Dublin, OH · On-site

$108K - $129K/yr

Azure Data Engineer (Microsoft Fabric) - Direct Hire, Hybrid (Columbus, OH) Position Type: Direct ... This role is not available for C2C, Visa Sponsorship, Third Parties, or Student Visa candidates. U.

Dark Wolf Solutions

Senior Data Engineer

Chantilly, VA

$130K - $170K/yr

Dark Wolf is seeking a Senior Data Engineer to design, build, and optimize robust data pipelines ... We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this ...

Dark Wolf Solutions

Senior Data Engineer

Chantilly, VA · On-site

$130K - $170K/yr

Dark Wolf is seeking a Senior Data Engineer to design, build, and optimize robust data pipelines ... We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this ...

Releady

Data Engineer, Principal

Denver, CO · On-site

$117.10 - $130.87/hr

Not eligible for C2C. * Pay Rate: $85-$95/hr * Duration:6-month contract-to-hire * Location: Hybrid ... Provide hands‑on technical leadership and mentorship to senior and mid‑level data engineers ...

System One

Data Engineer

Fairfield, OH · Remote

$55 - $60/hr

Data Engineer Location: Cincinnati, Ohio Type: Contract To Hire Compensation: $55-60 Work Model ... Remote - offsite Hours: 40.0 Security Clearance: (not specified) Overview NO C2C ONLY W2 cannot ...

previous page

Showing results 41-60

All JobsTechnology JobsData JobsData Architect JobsData Engineer C2C Jobs

Data Engineer C2C information

See salary details

$44.5K

$129.7K

$177.5K

How much do data engineer c2c jobs pay per year?

As of Aug 20, 2026, the average yearly pay for 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 data engineer C2C?

A Data Engineer C2C (Corp-to-Corp) job refers to a contract position where a data engineer is hired through a third-party consulting firm or their own incorporated business. In this arrangement, the engineer provides services to a client company on a contractual basis, rather than being a direct employee. Data engineers in C2C roles focus on designing, building, and optimizing data pipelines, databases, and big data solutions. These roles often require expertise in SQL, Python, ETL tools, cloud platforms, and data modeling. C2C jobs are common in IT staffing, offering flexibility but requiring independent tax management and business structuring.

What does a data engineer C2C do?

As a Data Engineer C2C, your typical workday involves designing, building, and optimizing data pipelines, collaborating with data scientists and analysts, and ensuring data quality and integrity. Since C2C refers to a contract-based engagement, you may work on multiple short- or long-term projects with different clients, requiring adaptability and strong project management skills. You’ll often attend virtual meetings, troubleshoot data issues, and deliver solutions on tight timelines. The contract structure allows for diverse experience and the opportunity to expand your professional network, but it also means staying proactive about seeking new projects and continuously updating your technical skills.

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

To thrive as a Data Engineer C2C, you need strong skills in data modeling, ETL processes, database architecture, and proficiency in languages such as SQL, 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 data services (e.g., AWS, Google Cloud, Azure), and certifications like AWS Certified Data Analytics are highly beneficial. Excellent problem-solving, teamwork, and communication skills set standout candidates apart, enabling effective cross-functional collaboration. These skills are crucial for designing reliable data pipelines, ensuring data quality, and supporting the decision-making needs of organizations in a contract-to-contract (C2C) work environment.

More about Data Engineer C2C jobs

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 Data Engineer C2C jobs?

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

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

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

Data Engineer C2C jobs near you
Infographic showing various Data Engineer C2C job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer - Data Integration C2C jobs Location: Atlanta, GA

Tech Mirrors

Atlanta, GA • On-site

$120 - $180/hr

Other

Posted 2 days ago

New

Job description

Data Engineer – Data Integration

Position: Data Engineer – Data Integration

Location: Atlanta, GA (onsite)

Type: Long-term

Job description: A Data Engineer with expertise in Data Integration is responsible for designing and building solutions to transfer data from operational and external environments to the business intelligence environment. They utilize tools such as Informatica, Ab Initio software, and DataStage (formerly Ascential) – Data Integration Suite. This role involves creating and implementing Extract, Transform, and Load (ETL) processes, ensuring the seamless flow of data throughout the business intelligence solution’s lifecycle.

Required skills
  • 7+ years of experience in Data Engineering / Data Migration / ETL with strong hands‑on experience in AWS DMS for full‑load and CDC‑based data movement.
  • Strong experience with Python for automation, data processing, validation, reconciliation, and operational scripting.
  • Hands‑on experience with Terraform for provisioning and managing AWS cloud infrastructure.
  • Strong working experience with Snowflake including data loading, staging, SQL development, performance tuning, and data validation.
  • Experience fetching data from various enterprise sources including databases, S3 buckets, and SFTP, with exposure to Kerberos authentication for secured database connectivity.
Nice to have skills
  • Experience with full‑stack development using Python‑based frameworks.
  • Experience with AWS services such as Lambda, Glue, Step Functions, Event Bridge, IAM, Secrets Manager, CloudWatch, and VPC networking.
  • Experience with large‑scale data migration, cloud modernization, or enterprise data warehouse implementation projects.
  • Exposure to CI/CD tools such as GitHub Actions, GitLab CI, or AWS Code Pipeline.
Responsibilities
  • Fetch and process data from various sources including relational databases, Amazon S3, and SFTP servers.
  • Work with Kerberos authentication to securely connect to enterprise databases and authenticated data sources.
  • Build and manage AWS infrastructure using Terraform.
  • Configure AWS services such as DMS, S3, IAM, VPC, Secrets Manager, CloudWatch, and related cloud components.
  • Load, validate, and optimize data in Snowflake using stages, file formats, warehouses, schemas, and SQL‑based transformations.
  • Troubleshoot DMS replication failures, connectivity issues, authentication errors, latency, and performance bottlenecks.
  • Perform data validation and reconciliation between source systems and Snowflake targets.
  • Collaborate with application, database, infrastructure, security, and data engineering teams to deliver reliable migration solutions.
  • Create technical documentation, data flow diagrams, deployment notes, runbooks, and support procedures.
  • Support internal tools or dashboards using full‑stack development skills where required.
Open seat description

We need an experienced Cloud Data Engineer / Data Migration Engineer to support enterprise data movement and migration initiatives using AWS DMS, Python, Terraform, AWS, and Snowflake. The candidate will design, build, automate, and support secure data ingestion pipelines from multiple sources including enterprise databases, S3 buckets, and SFTP locations into Snowflake. The role requires exposure to Kerberos authentication for securely connecting to enterprise databases and protected data sources.

Design, configure, and support AWS DMS replication tasks for full-load and CDC‑based data migration.

Develop Python scripts for automation, data validation, reconciliation, file handling, and operational support.

#J-18808-Ljbffr

Apply