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Data Engineer C2C Jobs in California (NOW HIRING)

Senior Data Engineer

Glendale, CA

$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+ ...

Senior Data Engineer

Los Angeles, CA · On-site

$114K - $155K/yr

*** IT'S A W2 CONTRACT ROLE, NO C2C/1099 *** Title: Data Engineer Location: LA / NYC /Nashville - (Hybrid (3 days/week) Duration: 6 months (Possible extension) Languages and Frameworks * MS SQL Server ...

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 ...

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.

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 ...

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 ...

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 ...

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 ...

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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:

$135K - $162K/yr

Full-time

Posted 16 days ago


Job description

Location - Mountain View.
Duration - 6 Months + Possible extension
Rate - 85 C2C
Only Local candidates, please don't ask for relocation.
Proper LinkedIn ID
About the Role
We are seeking Senior Data Engineers to join an experienced team building robust data infrastructure to support high-impact analytics and business needs. This role leans heavily into core data engineering - from pipeline development to data modeling - and requires hands-on expertise with modern data stack tools and strong collaboration across teams.
This is a fast-paced, execution-focused environment with immediate interviewing and onboarding.
Key Responsibilities
  • Design and implement scalable data models and schemas
  • Develop and maintain reliable, production-grade data pipelines
  • Work closely with product and analytics teams to support data-driven features
  • Ensure performance, data quality, and operational reliability across the stack
  • Build and support ETL workflows using modern tools and frameworks

Required Qualifications
  • 7+ years of experience in Data Engineering
  • Advanced SQL skills with experience in data modeling and schema design
  • Strong coding ability with Python for scripting and transformations
  • Experience with ETL tools or frameworks (e.g., SnapLogic, Airflow, DBT, etc.)
  • Excellent problem-solving skills and the ability to work independently
  • Comfortable working in fast-moving, collaborative environments
  • Strong communication and documentation skills

Nice to Have
  • Experience with Snowflake is a strong plus
  • Experience with SnapLogic or similar modern ETL platforms
  • Familiarity with CI/CD and data ops practices