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Data Engineer C2C Jobs in California (NOW HIRING)

Cradle-to-Career

Workforce Data Specialist

Sacramento, CA · On-site

$8.3K - $10K/mo

Building pipelines in SQL, R, Python, or a related programming language to prepare data for ... Lesley Taylor (916) 208-8493 lesley.taylor@c2c.ca.gov Please direct requests for Reasonable ...

New

FOCUSKPI INC

Be Seen First

LLM Research Engineer

Mountain View, CA · On-site

$115 - $131/hr

No C2C resumes are considered** Responsibilities: * Design, train, and fine-tune large language ... Ensure data is free from bias and aligned with ethical AI standards. * Optimize model architecture ...

Socket.dev

Hardware Engineer

Sunnyvale, CA · On-site

$180 - $240/hr

No C2C/3RD PARTY, LOOKING FOR W2 CANDIDATES ONLY, must be able to work in the US without ... Develop scalable data ingestion, processing, and monitoring solutions on production infrastructure.

Akraya Inc.

QA Engineer: 26-01964

San Francisco, CA · On-site

$45 - $50/hr

W2 and C2C Location: Fremont, CA (100% Onsite - 5 days in office) Duration: 6+ months (Possible ... Perform backend data validation using SQL/MySQL and verify application functionality. * Log, track ...

FOCUSKPI INC

Be Seen First

LLM Research Engineer

Mountain View, CA · On-site

$115 - $131/hr

No C2C resumes are considered** Responsibilities: * Design, train, and fine-tune large language ... Ensure data is free from bias and aligned with ethical AI standards. * Optimize model architecture ...

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All JobsData Engineer C2C JobsData Engineer C2C Jobs in California

Data Engineer C2C information

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.

What are the most commonly searched types of Data Engineer C2C jobs in California? The most popular types of Data Engineer C2C jobs in California are:
What are popular job titles related to Data Engineer C2C jobs in California? For Data Engineer C2C jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Engineer C2C jobs in California look for? The top searched job categories for Data Engineer C2C jobs in California are:
Data Engineer C2C jobs near you
Infographic showing various Data Engineer C2C job openings in California as of August 2026, with employment types broken down into 21% Full Time, and 79% Contract. Highlights an 92% In-person, and 8% Remote job distribution.

Staff Full Stack Engineer :: Irvine, CA (Onsite Only)

Talent Movers

Irvine, CA • On-site

Contractor

Re-posted 29 days ago

Job description

Title : Staff Full Stack Engineer

Location : Irvine, CA (Onsite Only)

Rate : On C2C/ W2

Responsibilities

Build, test, and release complex, mission-critical full-stack applications for internal and external-facing software, serving as a technical lead.

Design and implement frontend code and algorithms using ReactJS and Typescript.

Design and implement backend code using AWS Services, Python, and PostgreSQL databases.

Collaborate with cross-functional teams (QA, Technical Product Management, UI/UX) to define application features.

Use automation to reduce roadblocks and achieve deliverables.

Ensure good software architecture practices are followed, actively contribute to code and design reviews, and perform unit testing to deliver high-quality software.

Qualifications

5+ years of professional experience in full-stack software engineering, including technical leadership on complex projects.

Preferred candidates will also have experience with automotive/vehicle/aerospace development of wire harnesses, electrical systems integration, and/or electronic hardware, or related technical program management (TPM) roles. We are looking for candidates who already understand what it takes to develop a complex electrical system and have ideas of their own on how to improve the process.

Frontend Expertise: Deep expertise in ReactJS, HTML, CSS, MaterialUI, React Router, React Hooks, GraphQL, and REST.

Backend Expertise: Expert-level backend development experience with Python, RESTful APIs, and strong proficiency with AWS services (ECS, EKS, Lambda, DynamoDB, S3, etc.).

DevOps: Proven experience driving and implementing DevOps practices, setting up CI/CD pipelines, and cloud-native architectures.

BA in Engineering (Computer Science / Data Engineering / Data Science or equivalent practical experience).