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Data Engineer C2C Jobs (NOW HIRING)

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Data Engineer

Orlando, FL · On-site

$90K - $110K/yr

NO B2B OR C2C. *MUST be local to Orlando, FL -This position is onsite 5 days a week! Job Summary The Data Engineer will partner with a wide range of business units to implement analytical and data ...

Be Seen First

Data Engineer

Orlando, FL · On-site

$90K - $110K/yr

NO B2B OR C2C. *MUST be local to Orlando, FL -This position is onsite 5 days a week! Job Summary The Data Engineer will partner with a wide range of business units to implement analytical and data ...

Data Engineer

Orlando, FL

$106K - $128K/yr

This role is not open for C2C, 3rd party, or W2 Vendor Referrals! Job Summary The Data Engineer will partner with a wide range of business units to implement analytical and data solutions that drive ...

Data Engineer

Austin, TX · On-site

$55 - $70/hr

Only W2 Candidates, NO C2C Responsibilities : * Analyze existing HDM tables and associated transformation logic. * Re-engineer HDM structures into optimized and scalable Data Warehouse tables.

Data Engineer - Journeyman

Fairfax, VA · On-site

$113K - $136K/yr

... C2C and DLP analytics, and data sources such as Zeek metadata and Sysmon-based monitoring, while ... Engineer data integration solutions that support the ingestion, parsing, normalization, and ...

Data Engineer

Durham, NC · On-site

$68/hr

Data Engineer Primary Skills: SQL Role Description: The Data Engineer must have 5+ years of ... Must be able to work on a W2 basis (No C2C) Recruiter Name: Gaurav Gulati Recruiter Phone: (484 ...

EST Rate: $58-60/hour on 1099/C2C Location: Atlanta, GA (Hybrid - 3 days on-site) We are looking for a highly capable Data Engineer to design, build, and maintain reliable, scalable data pipelines ...

Data Engineer Primary Skills: SQL Role Description: The Data Engineer must have 5+ years of ... Must be able to work on a W2 basis (No C2C) Recruiter Name: Gaurav Gulati Recruiter Phone: Benefits:

C2C/W2 role Exp : 10+ Yrs : Basic Requirement: Seeking an experienced Data Engineer to design, build, and maintain our data infrastructure on Google Cloud Platform (GCP). The ideal candidate will ...

Data Engineer - Journeyman

Fairfax, VA · On-site

$117K - $140K/yr

The role involves engineering data integration solutions for cybersecurity telemetry and ... SIEM, C2C, and DLP data sources. • Help maintain telemetry pipelines that leverage sources ...

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Data Engineer C2C information

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$44.5K

$129.7K

$177.5K

How much do data engineer c2c jobs pay per year?

As of Jun 19, 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 job?

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 typical workday look like for a Data Engineer C2C, and how does the contract-to-contract structure affect day-to-day responsibilities?

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 in the Data Engineer C2C position, and why are they important?

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.

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:
Infographic showing various Data Engineer C2C job openings in the United States as of June 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

$90K - $110K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 9 days ago

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Job description

Data Engineer

ONLY CONSIDERING CANDIDATES LIVING IN ORLANDO FLORIDA AREA

* MUST BE AUTHORIZED TO WORK IN THE US WITHOUT SPONSORSHIP. ONLY US CITIZENS AND PERMANENT RESIDENTS WILL BE CONSIDERED FOR THIS ROLE. NO B2B OR C2C.

*MUST be local to Orlando, FL -This position is onsite 5 days a week!

Job Summary

The Data Engineer will partner with a wide range of business units to implement analytical and data solutions that drive business value and enhance customer satisfaction. In this role, you will be responsible for collecting, storing, processing, analyzing, and modeling large datasets, as well as building data-driven applications. The primary focus will be on building, implementing, monitoring, and integrating scalable analytical solutions with the architecture used across the organization.

How You'll Shine

  • Pipeline Development: Design, implement, test, deploy, and maintain stable, secure, and scalable data engineering solutions and pipelines, including integrating new sources into our central data warehouse and moving data out to applications and affiliates.
  • Platform Management: Maintain, monitor, and optimize our analytics data warehouses and overall data platform.
  • Cloud & Infrastructure Support: Deliver hands-on development, deployment, maintenance, and support for a variety of cloud and on-premise solutions, web service infrastructures, and supporting technologies.
  • Automation: Produce scalable, replicable code and engineering solutions to automate repetitive data management tasks.
  • Cross-Functional Collaboration: Partner closely with project managers, business analysts, data scientists, and key stakeholders to translate functional business requirements into technical specifications and ensure data infrastructure meets business needs.
  • Strategic Thinking: Maintain a critical eye on our technical strategy, proactively identifying performance gaps and designing creative solutions.

What You'll Bring

Education & Core Skills

  • Education: Bachelor’s degree in Computer and Information Science required (Master’s degree preferred).
  • Certifications: Snowflake and Python certifications are highly preferred, but not required.
  • Professional Skills: Excellent interpersonal, communication, and problem-solving skills. Exceptionally organized with strong attention to detail, systemic thinking, and a collaborative team-player mindset.

Technical Experience & Qualifications

  • Experience: 3+ years of related data engineering or IT experience.
  • Big Data & Cloud (1+ years): Proven experience with the Apache Spark framework, Hadoop, Java/Scala, Python, and AWS architecture.
  • Development & .NET (1+ years): Experience with Microsoft .NET technologies (C#, VB.Net) and designing, developing, and deploying Windows and Web applications.
  • Database & Data Modeling (2+ years): Experience in data modeling and database development using PL/SQL, SQL Server (2016 or later), and Snowflake. Strong working knowledge of relational databases and query authoring (SQL).
  • Data Integration & ETL (1+ years): Proven experience building data pipelines, APIs, and ETL flows in cloud and on-premise environments using tools like Snowpipe, Informatica, Airflow, and Kafka.
  • Analytical Capabilities: A successful history of manipulating, processing, and extracting value from large, disconnected, or unstructured datasets, alongside the ability to perform root-cause analysis on data processes to identify business opportunities.

Company Description

Travel & Lodging industry