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Data Engineer C2C Remote Jobs in California (NOW HIRING)

Runpod Inc

Senior Data Engineer

San Francisco, CA · On-site +1

$124K - $169K/yr

Learn more in our CEO's funding announcement: We're a small, remote-first team. We take ownership ... As a Senior Data Engineer, you will be tasked with designing and implementing robust data solutions ...

Wells Fargo

Senior Data Engineer

San Francisco, CA · On-site +1

$124K - $169K/yr

About this role: Senior Data Engineer The Data, Analytics and Reporting Technology team is ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

Block

Senior Data Engineer, Risk

Bodega Bay, CA · On-site +1

$125K - $170K/yr

Today, Cash App has thousands of employees working globally across office and remote locations ... The Role As a Data Engineer you will handle everything from data architecture and modeling to data ...

Quanata

Senior Data Engineer [Remote-US]

San Francisco, CA · Remote

$215K - $300K/yr

The role We're looking for a Senior Data Engineer to help the team deliver data science services ... We are a remote-first company for most positions so you may work from anywhere you like in the U.S ...

Sequoia Connect

Senior AWS Data Engineer

Mountain View, CA · On-site +1

$125K - $169K/yr

Remote If you meet these qualifications and are pursuing new challenges, start your application on ... data integration patterns. * Familiarity with GitLab, Terraform, CI/CD, and AWS developer tools.

Spokeo

Data Engineering Manager

Pasadena, CA · On-site +1

$172K - $206K/yr

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... About this Opportunity Spokeo is seeking a Data Engineering Manager to help build a ...

Spokeo

Data Engineering Manager

Pasadena, CA · On-site +1

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... About this Opportunity Spokeo is seeking a Data Engineering Manager to help build a ...

DocuSign

Sr. Data Platform Engineer

San Francisco, CA · On-site +1

$134K - $161K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... Experience as a Data Platform Engineer or ML/AI Engineer with significant handson work in Snowflake ...

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All JobsData Engineer C2C JobsData Engineer C2C Remote JobsData Engineer C2C Remote Jobs in California

Data Engineer C2C Remote information

What is a data engineer c2c remote?

Data Engineer C2C Remote jobs refer to contract positions for data engineers that are fulfilled remotely and use a 'Corp-to-Corp' (C2C) arrangement. In C2C, a contractor works through their own corporation or as part of a consulting company rather than as a direct employee or individual contractor (W2 or 1099). Data engineers in these roles are responsible for designing, building, and maintaining data pipelines and infrastructure, usually for clients across different locations. These remote roles offer flexibility in work location and are common in the tech industry, especially for specialized projects.

What skills and qualifications are needed to thrive as a data engineer in a remote C2C setting?

To thrive as a Data Engineer C2C Remote, you need expertise in data modeling, ETL processes, and proficiency in programming languages like Python or SQL, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (e.g., AWS, Azure), big data tools (like Hadoop or Spark), and relevant certifications (such as AWS Certified Data Analytics) is highly valued. Strong problem-solving, communication, and self-motivation skills help you collaborate effectively and manage projects independently in a remote environment. These skills and qualities are crucial for building scalable data solutions, ensuring data integrity, and delivering results in a distributed team setting.

What are common challenges data engineers face when working in a fully remote C2C arrangement?

Data Engineers working remotely on a C2C basis often encounter challenges such as aligning with distributed teams across different time zones, ensuring secure data access, and managing communication with multiple stakeholders. Since C2C roles are typically contract-based, there can be less direct oversight and more emphasis on delivering results independently, which requires strong self-management and proactive reporting. Additionally, integrating with existing data infrastructure remotely may involve navigating different security protocols and adapting to each client’s unique tech stack.

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 Remote jobs in California?

For Data Engineer C2C Remote jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Engineer C2C Remote jobs in California look for?

The top searched job categories for Data Engineer C2C Remote jobs in California are:

What cities in California are hiring for Data Engineer C2C Remote jobs?

Cities in California with the most Data Engineer C2C Remote job openings:

Data Engineer C2C Remote jobs near you
Infographic showing various Data Engineer C2C Remote job openings in California as of August 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 100% Remote job distribution.

Full Stack Data Engineer : 26-02060

Akraya Inc.

Santa Clara, CA • On-site, Remote

$80 - $85/hr

Temporary

Re-posted 5 days ago

Job description


Primary Skills: Data Engineering (Expert), Python (Expert), Google Cloud Platform - BigQuery & Vertex AI (Advanced), Machine Learning & AI (Advanced), SQL (Expert)
Contract Type: W2 Only
Duration: 9+ Months
Location: Santa Clara, CA.Remote (Anywhere in the U.S.)
Pay Range: $80 - $85 on W2
Job Summary:
We are seeking a Staff Data Engineer, Full Stack to design and build scalable data platforms while driving AI/ML initiatives that deliver actionable business insights. This hybrid Data Engineering and Data Science role requires expertise in data pipelines, cloud-based analytics, machine learning, and generative AI to develop robust analytical datasets, deploy production-grade ML models, and enable customer analytics solutions across the enterprise.
Key Responsibilities:
  • Design, develop, and maintain scalable data architectures and analytical datasets for reporting, business intelligence, and machine learning.
  • Build and optimize batch and real-time data pipelines using cloud-native technologies.
  • Develop, deploy, and monitor machine learning models for customer analytics, churn prediction, marketing attribution, and business optimization.
  • Design feature engineering pipelines and support end-to-end AI/ML model lifecycle from development through production.
  • Implement AI-powered solutions and optimize Generative AI/LLM-based applications and AI agents.
  • Partner with Product, GTM, Customer Success, Finance, and Engineering teams to translate business challenges into data-driven solutions.
  • Develop dashboards and visualizations using Tableau, Looker, or similar BI tools.
  • Perform code reviews, improve engineering best practices, and support scalable, secure cloud-based data platforms.
Must-have Skills:
  • 8+ years of experience in Data Engineering, Data Science, or Analytics Engineering.
  • Expert-level programming skills in Python and advanced SQL.
  • Strong experience designing and maintaining scalable data pipelines for analytics and machine learning.
  • Experience implementing Big Data solutions for batch and real-time processing.
  • Hands-on experience with Google Cloud Platform (GCP), including BigQuery and Vertex AI.
  • Experience building optimized analytical datasets for reporting, feature engineering, and business intelligence.
  • Experience developing dashboards using Tableau, Looker, or similar visualization platforms.
  • Strong knowledge of cloud data architecture, ETL/ELT frameworks, and data modeling.
  • Excellent analytical, problem-solving, and stakeholder communication skills.
Nice-to-have Skills:
  • Experience with Generative AI, LLMs, LangChain, LlamaIndex, or Hugging Face frameworks.
  • Experience evaluating and optimizing AI agents and conversational AI systems.
  • Knowledge of causal inference, time-series forecasting, and advanced statistical modeling.
  • Experience implementing data security, governance, and role-based access controls.
  • Background in Customer Analytics, Customer Success, Marketing Analytics, or Professional Services.
  • Experience with streaming technologies and modern data orchestration frameworks.
Preferred Qualifications:
  • MS or PhD in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field.
  • Proven experience delivering end-to-end AI/ML solutions in cloud environments.
  • Experience working in Agile environments with modern software engineering and DevOps practices.
  • Strong ability to lead technical initiatives, work independently, and drive projects from concept through production deployment.

ABOUT AKRAYA
Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Stevie Employer of the Year 2025, SIA Best Staffing Firm to work for 2025, Inc 5000 Best Workspaces in US (2025 & 2024) and Glassdoor's Best Places to Work (2023 & 2022)!
Industry Leaders in Tech Staffing
As Talent solutions provider for Fortune 100 Organizations, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires!
Join Akraya Today!
Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!
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About Akraya

Sourced by ZipRecruiter

Akraya is an award-winning IT staffing firm and the staffing partner of choice for many leading companies across the US. Akraya was recently voted as a 2021 Best Staffing Firm to Temp for by Staffing Industry Analysts and voted by our employees and consultants as a 2022 Glassdoor Best Places to Work.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2001

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