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Data Engineer C2C Jobs in California (NOW HIRING)

FocusKPI Inc.

LLM Research Engineer

Mountain View, CA · On-site

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 ...

FocusKPI Inc.

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 ...

Care.coach

Lead Machine Learning Engineer

Millbrae, CA · On-site +1

$119K - $156K/yr

Development of data mining, analytics, dashboards and reporting systems * Engineering management ... Anywhere in US Job Type: Full-time regular W2 employment with benefits. (no C2C; no 1099; no visa ...

Redolent, Inc.

Java Back-End Engineer

Sunnyvale, CA · On-site

$143K - $186K/yr

C2C candiates will not be considered for this role Job Qualfications * Strong Java/J2EE ... Develop high performance and scalable solutions that extract, transform, and load big data

Geologics

Software Engineer

San Diego, CA · On-site

$32 - $123/hr

No C2C, we can NOT work with outside agencies/vendors, and we can NOT do 1099-US CITIZENSHIP IS ... Investigate and resolve complex system level issues involving software, networking, and sensor data

Geologics

Software Engineer

San Diego, CA · On-site

$32 - $123/hr

No C2C, we can NOT work with outside agencies/vendors, and we can NOT do 1099-US CITIZENSHIP IS ... Investigate and resolve complex system level issues involving software, networking, and sensor data

Astyra Corporation

Software Engineer 2

Sunnyvale, CA

$120 - $125/hr

We are not considering Corp-to-Corp (C2C) arrangements for this position. Description: * Our client ... Designs and develops data acquisition software using LabVIEW programming language for production ...

Posted today

Paradigminfotech

RF Design Engineer

Sunnyvale, CA · On-site

Minimum 3 years experience in troubleshooting RF power and control circuits Data acquisition and ... Rate(C2C/1099/W2): Employer: 2 Official references from recent 2 projects in below format (Must ...

Care.coach

Lead Machine Learning Engineer

Millbrae, CA

$119K - $156K/yr

Development of data mining, analytics, dashboards and reporting systems * Engineering management ... Full-time regularW2 employment with benefits. (no C2C; no 1099; no visa sponsorship) Compensation:

INFOTRON

Senior Microwave Engineer

San Francisco, CA · On-site

$160K - $180K/yr

W2/C2C Infotron is seeking a Senior Microwave Engineer for an innovative Environmental Services ... Support prototype development, execute validation procedures, analyze performance data, and ...

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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.

Backend Developer with Graph Database Knowledge::San Diego, CA (Onsite)

talentmovers inc

San Diego, CA • On-site

Contractor

Re-posted 10 days ago

Job description

Job Title: Backend Java Developer with Graph Database Knowledge

Location: San Diego, CA (Onsite)

Pay Rate : ON W2/C2C/Full time 

Skills: Backend Java, Graph Knowledge like (Neo4j or Cypher or Gremlin)

Job Summary:

We are looking for a talented Backend Java Developer with hands-on experience in graph databases to join our growing engineering team. You will be responsible for developing scalable and efficient backend services using Java, and designing and integrating complex data models with graph database systems such as Neo4j or Amazon Neptune.

Key Responsibilities:

  • Design, develop, and maintain backend services and APIs using Java (Spring Boot or similar frameworks)
  • Build and optimize graph-based data models and queries using technologies like Neo4j, Cypher, or Gremlin
  • Integrate graph databases with microservices to deliver advanced querying capabilities and relationship-based analytics
  • Collaborate with front-end developers, data engineers, and product managers to deliver end-to-end solutions
  • Ensure code quality through testing, code reviews, and adherence to software development best practices
  • Monitor and troubleshoot system performance, especially around data modeling and query execution in graph systems
  • Design and implement secure and efficient data access and storage strategies

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
  • 3+ years of backend development experience in Java (Spring Boot, Hibernate, etc.)
  • Hands-on experience with graph databases such as Neo4j, Amazon Neptune, ArangoDB, or OrientDB
  • Strong understanding of graph theory and data modeling techniques for graphs
  • Proficiency in graph query languages such as Cypher or Gremlin
  • Familiarity with RESTful APIs, JSON, and HTTP protocols
  • Experience with relational and NoSQL databases
  • Knowledge of version control tools (e.g., Git) and CI/CD workflows

Preferred Qualifications:

  • Experience designing recommendation systems, fraud detection, or knowledge graphs
  • Understanding of GraphQL and its integration with graph databases
  • Familiarity with containerization (Docker) and orchestration tools (Kubernetes)
  • Exposure to cloud platforms like AWS, GCP, or Azure (especially services like Amazon Neptune)
  • Performance tuning of large-scale graph databases