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Data Engineer C2C Remote Jobs in San Ramon, CA (NOW HIRING)

Swish Analytics

Data Scientist

San Francisco, CA · Remote

$150K/yr

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... This position is remote from the USA or Canada. Duties: * Develop infrastructure for trader ...

Job Mobz

Remote Backend SWE

San Francisco, CA · On-site +1

... engineer who gets excited about building things that don't exist yet. This is not a role for ... This contract would be a W-2 position, we cannot do a 1099 or C2C at this time Qualifications What ...

Job Mobz

Remote Backend SWE

San Francisco, CA · Remote

... engineer who gets excited about building things that don't exist yet. This is not a role for ... This contract would be a W-2 position, we cannot do a 1099 or C2C at this time Qualifications What ...

4 Staffing Corp

Azure AI Solutions Architect

San Jose, CA · Remote

$74.50 - $97/hr

Azure AI Solutions Architect (Remote USA)Full-time, direct employmentRemote - USA - Some travel ... Expertise in data engineering, data analytics, and cloud-based data solutions.Relevant industry ...

4 Staffing Corp

Azure AI Solutions Architect

San Jose, CA · Remote

$74.50 - $97/hr

Azure AI Solutions Architect (Remote USA)Full-time, direct employmentRemote - USA - Some travel ... Expertise in data engineering, data analytics, and cloud-based data solutions.Relevant industry ...

Valdera

Chemical Data Scientist

San Francisco, CA · On-site +1

This requires strong data engineering fundamentals and a working knowledge of chemical industry ... moving, remote environment with ambiguous, evolving priorities Salary Range: Salary ranges are ...

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 ...

6sense

Sr. Software Engineer

San Francisco, CA · Remote

$179K - $263K/yr

About the Role You are a Data Engineer, who is passionate about writing beautiful code and building ... remote Notice of Collection and Use of Personal Information for California Residents: California ...

YO AI Labs

AI Data Scientist Expert - Remote

Palo Alto, CA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

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All JobsData Engineer C2C JobsData Engineer C2C Remote JobsData Engineer C2C Remote Jobs in San Ramon, CA

Data Engineer C2C Remote information

See San Ramon, CA salary details

$49.7K

$145K

$198.4K

How much do data engineer c2c remote jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data engineer c2c remote in San Ramon, CA is $144,961.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,000.00 and $153,700.00 per year, depending on experience, location, and employer.

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.

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Data Engineer C2C Remote jobs near you

Data Scientist

Swish Analytics

San Francisco, CA • Remote

$150K/yr

Full-time

Re-posted 3 days ago

Job description

Company Description

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.

Job Description

You'll be joining a team that is working to develop the infrastructure for a system to optimize our simulation outputs based on a variety of external and internal signals. This role will work at the intersection of data science, trading, and data engineering to help develop and maintain trader automation algorithms that will react faster to signals as well as improve model accuracy. This position is remote from the USA or Canada.

Duties:

  • Develop infrastructure for trader automation and system performance tracking

  • Develop high-performance and low-latency products to react to external and internal signals

  • Analysis of live-streaming data and turning it into actionable decisions

  • Design and set up tests to detect unexpected changes to our models resulting from manual interactions.

  • Use extensive experience to build, test, debug, and deploy production-grade components

  • Ideate, develop, and improve machine learning and statistical models that drive Swish's core algorithms, growing into top-level simulation output modeling as we expand to new sports.

  • Develop contextualized feature sets that draw on sports-specific domain knowledge.

  • Contribute across all stages of model development — from proof-of-concept and beta testing to partnering with data engineering and product teams to deploy new models.

  • Constantly improve model performance using insights from rigorous experimentation.

  • Assess model performance, identify weaknesses, and use those findings to direct development efforts.

  • Document your work and present it clearly to technical and non-technical partners.

Requirements

  • Bachelor's in Data Science, Statistics, Computer Science, Applied Math, or a related technical field; Master's strongly preferred.

  • 4+ years developing and delivering effective machine learning and/or statistical models to serve real business needs in sports analytics or sports betting.

  • Experience in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, and Markov Chain Monte Carlo methods.

  • Excellent analytical and problem-solving ability, and a demonstrated drive to learn quickly in unfamiliar territory.

  • Experience with Python and relational SQL.

  • Strong foundation with source control (GitHub) and related CI/CD processes.

  • Strong foundation working in AWS environments.

  • Ideal candidates will have experience with Kafka, Docker, and Kubernetes

  • Ability to partner across teams on complex, ambiguous problems and communicate clearly with technical and non-technical audiences.

Base salary: Starting at $150,000 - DOE

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to those outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.