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Data Engineer C2C Remote Jobs in California (NOW HIRING)

Data Architect - Clearance Required

San Diego, CA · On-site +1

$67.75 - $87/hr

This is a largely remote position; however, candidates must reside in the vicinity of San Diego, CA ... Research, design, implement, and manage enterprise data engineering systems, and serve as subject ...

Data Architect - Clearance Required

San Diego, CA · On-site +1

$67.75 - $87/hr

This is a largely remote position; however, candidates must reside in the vicinity of San Diego, CA ... Research, design, implement, and manage enterprise data engineering systems, and serve as subject ...

Sr SW Test Development Engineer - Remote

San Diego, CA · On-site +1

$117K - $152K/yr

... Development Engineer - (Remote) Duration: 12 months with possible extension and full-time ... Third-party or C2C candidates will not be considered. Role Overview * Position supports the ...

Big Data Developer

Signal Hill, CA · Remote

$56.50 - $73.50/hr

Remote Salary: $ 65/hrDuration: CTH 6 Months Start: Asap SGI is searching for a Power BI Report ... This global organization is expanding their data department. They want a Sr. Developer who is ...

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

We are looking for a spatial thinker with a passion for remote sensing analysis and visual ... Experience programming with Python to analyze geospatial data and interact with APIs * Experience ...

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Senior Data Visualization Engineer

San Francisco, CA · On-site +1

$134K - $162K/yr

We're looking for a spatial thinker with a passion for remote sensing analysis and visual ... Ability programming with Python to analyze geospatial data and interact with APIs * Extensive ...

Azure AI Solutions Architect

San Jose, CA · Remote

$74.50 - $97/hr

Azure AI Solutions Architect (Remote USA) * Full-time, direct employment * Remote - USA ... data scientists, technical architects, developers, and engineers, to design and implement AI-driven ...

... 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 ...

... 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 ...

Senior Software Engineer, Data Platform

Bodega Bay, CA · On-site +1

$145K - $191K/yr

Today, Cash App has thousands of employees working globally across office and remote locations ... The Role We're hiring an experienced software engineer to build and own the data platform that ...

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 ...

Senior Data Analyst (Remote)

Los Angeles, CA · On-site +1

$92K - $116K/yr

Preferred degree with a specialization in Statistics, Data Science, Analytics, Computer Science, Engineering, or another quantitative field or equivalent * Mastery of SQL, Python, and other scripting ...

Showing results 41-60

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 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:

Infographic showing various Data Engineer C2C Remote job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Architect - Clearance Required

LMI

San Diego, CA • On-site, Remote

$67.75 - $87/hr

Full-time

Posted 17 days ago


Job description

LMI is seeking a Senior Data Architect to support a Department of War mission partner on an enterprise data architecture and modernization effort. This role designs the models, standards, and pipelines that govern how authoritative data is collected, cataloged, stored, integrated, and served across the enterprise, spanning both on-premises and cloud data environments. The architect serves as the subject-matter expert for data architecture and administration, balancing hands-on technical design with data governance, and works across enterprise data platforms, DoD analytics environments, and Microsoft 365. This is a largely remote position; however, candidates must reside in the vicinity of San Diego, CA to support periodic onsite collaboration.

This position requires an active Secret clearance.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.


  • Analyze enterprise data requirements and systems flow, and design solutions that facilitate enterprise data engineering across the organization.
  • Develop the models, policies, and standards that govern what data is collected and how it is administered, cataloged, stored, arranged, and integrated for use in systems across the enterprise.
  • Map data pipeline interactions and produce data pipeline blueprints, entity relationship diagrams, and architecture drawings.
  • Design and visualize the enterprise data management framework across on-premises and cloud-based data environments.
  • Research, design, implement, and manage enterprise data engineering systems, and serve as subject-matter expert for data architecture and administration.
  • Support data architecture across enterprise data environments, DoD analytics platforms, Microsoft 365, and other data environments.
  • Manage data governance and administrative requirements, including data sharing and use agreements, policies, procedures, user training and reference materials, change and incident management, Agile boards and backlogs, and cybersecurity accreditations.
  • Coordinate with government technical leads, platform and security teams, and data stakeholders, reporting to the Contracting Officer Representative.

Minimum Qualifications:

  • Active Secret security clearance.
  • Current DoD 8570/8140-compliant baseline certification appropriate for the position, such as CompTIA Security+.
  • Eight or more years of experience in data architecture, data engineering, or enterprise data management.
  • Three or more years of recent experience (within the past five years) with data engineering and DataOps, data warehouse modeling and performance, data quality, data cataloging, data agreements management, moving data between systems, managing data warehouses, building and managing data pipelines, data visualization, data security, web services and APIs, and serving data to end users.
  • Three or more years of recent experience (within the past five years) in data science and analytics across a variety of data structures.
  • Five or more years of recent experience with Agile development and MS Visual Studio or Git operations.
  • Three or more years of recent experience (within the past five years) in either the Microsoft BI stack (Visio, SQL, C#.NET, MS SQL Server, SSIS, SSRS, ASP.NET, IIS, Visual Studio, SQL Server 2012 or later, and Power BI) or a comparable modern data stack (such as DataHub, Collibra, Trifacta, Amazon S3, AWS Lambda, AWS Glue, Amazon Athena, Azure Data Factory, Azure Data Lake, Azure SQL Database, data lakehouse design, Databricks, and deployment of machine learning models to production).
  • Willing to work largely remote with periodic onsite collaboration in the vicinity of San Diego, CA.
  • Demonstrated self-driven problem-solving, with the ability to communicate complex technical concepts to varied audiences.

Preferred Qualifications:

  • Bachelor's degree in computer science, data science, information systems, or a related discipline.
  • Experience with DoD enterprise data and analytics platforms, such as Advana.
  • Experience across the Microsoft SQL Server BI stack, including SSIS, SSRS, and Power BI.
  • Experience with cloud and hybrid data services, including AWS Glue, Athena, and S3, and Azure Data Factory, Data Lake, and Databricks.
  • Experience with data cataloging and governance tooling, such as DataHub or Collibra.
  • Experience deploying machine learning models to production, including ML.NET.
  • Experience supporting U.S. Special Operations Forces or other Department of War mission partners.

Target Competencies:

  • Enterprise data architecture and modeling
  • Data pipeline and integration design
  • Data governance, cataloging, and quality
  • Cloud and hybrid data platform design
  • Stakeholder communication and technical documentation
  • Accountability, responsiveness, and attention to detail

Target Salary Range: $101,301.91 - $174,653.79

Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances. 


US-CA-San Diego