ZipRecruiter

Log In

1

Data Engineer C2C Jobs in California (NOW HIRING)

Mantek Solutions

Data Engineer

Pasadena, CA · On-site

$125K - $150K/yr

Data Engineer Direct Hire - Onsite Pasadena W2 Only (No Sponsorship/C2C) We are looking for a Data Engineer to design, optimize, and manage scalable data architecture. In this role, you will build ...

New

YO AI Labs

Senior Data Engineer

Glendale, CA · On-site

$112K - $152K/yr

Candidates must be willing to work on W2, no C2C. * 5+ years of data engineering experience specifically developing large-scale data pipelines. * Databricks and Python expertise. Qualifications: * 5+ ...

Releady

Data Engineer, Senior (Hybrid)

San Francisco, CA · Hybrid

$140K - $170K/yr

The Data Engineer, Senior is a hands-on technical leader who ensures production readiness and ... Not C2C eligible * Employment Type: Contract-to-Hire (six-month contract term) * Location: Hybrid ...

Fair Square

Director of Data Engineering

San Diego, CA · On-site

$170K - $230K/yr

Director of Data Engineering - San Diego, CA • 3 days/week in office, 2 days/week remote ... C2C. • Exempt/Salary: $140,000-230,000. Position eligible for additional incentives including ...

FairSquare

Director of Data Engineering

San Diego, CA · Hybrid

$170K - $230K/yr

Director of Data Engineering - San Diego, CA 3 days/week in office, 2 days/week remote, Full time M ... FairSquare does not consider candidates requiring 1099 or C2C. Exempt/Salary: $140,000-230,000.

Cloudious

Databrick Architect

Los Angeles, CA · On-site

$69.75 - $91.50/hr

C2C The Databricks Architect is responsible for designing, implementing, and optimizing scalable data analytics and data engineering solutions on the Databricks Lakehouse Platform. This role requires ...

Glow Networks

Data Analyst

Mountain View, CA · On-site

C2C/W2 Visa: Any Primary Skills: Hands-on experience with Tableau and SQL. Responsibilities ... Bachelor's degree in a quantitative field - Computer Science, Mathematics, Engineering or related ...

Comrise

AIDC (AI Data Center) PM Engineer

Milpitas, CA · On-site

$130 - $220K/hr

AIDC (AI Data Center) PM Engineer Location: Hybrid Remote - Milpitas, CA Term: Perm, Full-Time, ... No Corp-to-Corp (C2C/C2H) or Visa sponsorship provided. Key Responsibilities: * Connect with energy ...

Avani Technology Solutions, Inc.

Scala Engineer

Cupertino, CA · On-site

$68.75 - $91/hr

Cupertino, CA (Silicon Valley) Duration: 6-12+ months No C2C at this moment, any visa is okay ... Experience developing web services and scalable apps/building data pipelines * Experience using ...

next page

Showing results 1-20

All JobsData Engineer C2C JobsData Engineer C2C Jobs in California

Data Engineer C2C information

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 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 July 2026, with employment types broken down into 40% Full Time, and 60% Contract. Highlights an 100% In-person job distribution.

Data Engineer

Mantek Solutions

Pasadena, CA • On-site

$125K - $150K/yr

Full-time

Posted yesterday

New

Job description

Data Engineer
Direct Hire – Onsite Pasadena
W2 Only (No Sponsorship/C2C)
 
We are looking for a Data Engineer to design, optimize, and manage scalable data architecture.  In this role, you will build critical ETL/ELT pipelines, collaborate with the Data Architect, and empower business stakeholders with data-driven insights.
 
The ideal candidate is a proactive, resilient, and collaborative professional who operates with minimal supervision to achieve both personal and collective goals. They blend technical curiosity and strategic insight with strong analytical problem-solving skills to translate high-level organization vision into measurable results. An exceptional communicator and ethical leader, they excel at building mutual trust, navigating complex human dynamics, and embracing continuous learning. Ultimately, they thrive on taking full accountability for execution while respectfully challenging the status quo to drive long-term business strategy.
 
Responsibilities:
  • Pipeline Engineering: Design, build, and optimize resilient ETL/ELT pipelines.
  • Infrastructure: Scale secure data lakes, warehouses, and containerized services (Docker/Kubernetes).
  • AI & Automation: Support AI automation initiatives using LLMs and agents.
  • Data Governance: Implement strict data validation, privacy, and compliance policies.
 
Requirements:
  • Core Tech: Strong Python, advanced SQL, and cloud platform experience (AWS/Azure/GCP).
  • Data Systems: Proven success building data lakes, lakehouses, and Spark frameworks.
  • Orchestration: Ability to automate complex pipelines into self-healing systems.
  • Education: Bachelor’s degree in CS, Data Science, or a related field.
 
Desired:
  • Master’s Degree in Data Science.
  • Experience with Apache Airflow, Fabric, or Databricks.
  • Knowledge of data modeling and BI tools like Power BI or Tableau.