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Cybersecurity Data Engineer Jobs in California (NOW HIRING)

Data Engineer

Camarillo, CA

$116K - $140K/yr

... cybersecurity solutions. * Collaborative Environment: Be part of a dynamic team that thrives on ... As a Data Engineer, you will be a critical part of the team that is responsible for enabling the ...

Data Engineer

San Diego, CA · On-site

$122K - $147K/yr

From strategic planning to advanced analytics and cybersecurity, our team provides cutting-edge ... Bachelor's degree in Data Science, Computer Science, Engineering, or related STEM field. Work ...

Data Engineer

Camarillo, CA · On-site

$116K - $140K/yr

... cybersecurity solutions. * Collaborative Environment: Be part of a dynamic team that thrives on ... As a Data Engineer, you will be a critical part of the team that is responsible for enabling the ...

Data Engineer

San Diego, CA · On-site

$122K - $147K/yr

From strategic planning to advanced analytics and cybersecurity, our team provides cutting-edge ... Bachelor's degree in Data Science, Computer Science, Engineering, or related STEM field. Work ...

Data Engineer

San Diego, CA · On-site

$121K - $146K/yr

From strategic planning to advanced analytics and cybersecurity, our team provides cutting-edge ... Bachelors degree in Data Science, Computer Science, Engineering, or related STEM field. Work ...

Senior Data Engineer

San Jose, CA · On-site

$124K - $168K/yr

Kai is the AI company rebuilding cybersecurity for the machine-speed era. Founded by second time ... T HE ROLE Kai is hiring a Sr. Data Engineer to join our data infrastructure team. This is a hands ...

Senior Data Engineer, AI Platform

San Jose, CA · On-site

$124K - $168K/yr

Kai is the AI company rebuilding cybersecurity for the machine-speed era. Founded by second time ... About the Role We are looking for a Senior Data Engineer (AI Platform) to design and build scalable ...

... with cybersecurity advancements. o Collaborate with colleagues to draft technology plans that ... Previous experience as an Azure Data Engineer or similar role. * Proven experience using data ...

Cloud Data Engineer

Santa Rosa, CA · On-site

$115K - $151K/yr

... with cybersecurity advancements. o Collaborate with colleagues to draft technology plans that ... Previous experience as an Azure Data Engineer or similar role. * Proven experience using data ...

Senior Data Engineer, AI Platform

San Jose, CA · On-site

$124K - $168K/yr

Kai is an AI company focused on transforming cybersecurity for the machine-speed era. They are seeking a Senior Data Engineer to design and build scalable data systems that support next-generation AI ...

Senior Data Engineer (OpAI)

San Diego, CA · On-site

$113K - $154K/yr

The Senior Data Engineer will support complex data integration efforts, collaborate with cross ... From strategic planning to advanced analytics and cybersecurity, our team provides cutting-edge ...

Senior Data Engineer

San Francisco, CA · On-site

$124K - $169K/yr

You will work within cybersecurity software engineering team that drives Apache Spark ... Java or Scala5+ years experience with big data platformsFamiliarity with ML/AI workflows and ...

... with cybersecurity advancements. o Collaborate with colleagues to draft technology plans that ... Previous experience as an Azure Data Engineer or similar role. * Proven experience using data ...

... with cybersecurity advancements. o Collaborate with colleagues to draft technology plans that ... Previous experience as an Azure Data Engineer or similar role. * Proven experience using data ...

Cloud Data Engineer

Santa Rosa, CA · On-site

$115K - $151K/yr

... with cybersecurity advancements. o Collaborate with colleagues to draft technology plans that ... Previous experience as an Azure Data Engineer or similar role. * Proven experience using data ...

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Cybersecurity Data Engineer information

What does a Cybersecurity Data Engineer do?

A Cybersecurity Data Engineer is responsible for designing, building, and maintaining systems that collect, process, and analyze security-related data. Their main goal is to help organizations detect and respond to cyber threats by ensuring that data pipelines and storage solutions are secure and efficient. They often work with large datasets, security tools, and machine learning algorithms to identify vulnerabilities and unusual activity. Additionally, they collaborate with other IT and security professionals to implement best practices and enhance overall cybersecurity posture.

What are the key skills and qualifications needed to thrive as a Cybersecurity Data Engineer, and why are they important?

To thrive as a Cybersecurity Data Engineer, you need strong skills in data engineering, cybersecurity best practices, and programming languages such as Python or SQL, typically supported by a degree in computer science or a related field. Familiarity with security information and event management (SIEM) systems, big data tools like Hadoop or Spark, and certifications such as CISSP or CEH are highly valuable. Analytical thinking, problem-solving abilities, and effective communication set standout professionals apart in this role. These skills are crucial for designing secure data pipelines, detecting threats, and ensuring organizational data integrity.

What is the difference between Cybersecurity Data Engineer vs Cybersecurity Analyst?

AspectCybersecurity Data EngineerCybersecurity Analyst
Required CertificationsCompTIA Security+, CISSP, CEHCompTIA Security+, CISSP, CEH
Work EnvironmentData-focused, engineering teams, IT departmentsSecurity operations centers, incident response teams
Employer & Industry UsageTech companies, finance, healthcareGovernment agencies, corporations, cybersecurity firms
Common Search & ComparisonYesYes

While both roles require cybersecurity certifications and work within security-focused environments, Cybersecurity Data Engineers primarily develop and manage data infrastructure for security analytics, whereas Cybersecurity Analysts focus on monitoring, threat detection, and incident response. Understanding these differences helps organizations assign the right skills to their security teams.

How does a Cybersecurity Data Engineer typically collaborate with security analysts and IT teams?

Cybersecurity Data Engineers work closely with security analysts and IT teams to design, implement, and maintain data pipelines that support threat detection and incident response. They collaborate by integrating various data sources, ensuring data quality, and providing timely access to relevant information for analysis. Frequent communication and regular meetings are common to align on project requirements, prioritize tasks, and troubleshoot issues together. This collaborative approach ensures that security teams have the accurate, actionable data they need to protect organizational assets effectively.
What are popular job titles related to Cybersecurity Data Engineer jobs in California? For Cybersecurity Data Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Cybersecurity Data Engineer jobs in California look for? The top searched job categories for Cybersecurity Data Engineer jobs in California are:
What cities in California are hiring for Cybersecurity Data Engineer jobs? Cities in California with the most Cybersecurity Data Engineer job openings:
Infographic showing various Cybersecurity Data Engineer job openings in California as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
Senior Data Engineer (Snowflake) - Onsite

Senior Data Engineer (Snowflake) - Onsite

CGS Business Solutions

Irvine, CA

$113K - $154K/yr

Other

Posted 12 days ago


Job description

At CGS Business Solutions, we’re dedicated to helping skilled IT and business professionals take the next meaningful step in their careers. Whether you're exploring project-based consulting roles or seeking a long-term position, we connect you with opportunities that align with your expertise, your goals, and your growth trajectory.

Backed by deep industry insight and our proven TalentFlow™ Framework, we ensure every role we present is thoughtfully matched to your skills, passions, and career ambitions. If you're ready for a role that challenges you and moves your career forward, we’re currently partnering with leading organizations to fill the following opportunity:

Position Summary:

The Senior Data Engineer will be part of a team designing and implementing our modern data platform to support enterprise-wide analytics, integration, and AI/ML initiatives. Together, the team will build a scalable enterprise data warehouse, enable modern visualization tools, and advance self-service analytics capabilities for business users.

Major Duties and Responsibilities:

  • Data Engineering & Pipeline Development – Design, build, and maintain scalable data pipelines and workflows in Snowflake, leveraging dbt for modular transformations and Fivetran for automated ingestion.
  • Enterprise Data Warehouse & Modeling – Architect and optimize the enterprise data warehouse, applying best practices in data modeling, performance tuning, and scalability to support enterprise-wide analytics.

Education and Experience:

Required:

  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
  • 5+ years of professional experience in data engineering or related roles.
  • Proven expertise with Snowflake for data pipelines, development, and optimization.
  • Strong experience with dbt for modular transformations and Fivetran for automated ingestion.
  • Hands-on experience with AWS cloud services (especially S3) for data integration and storage.

Preferred:

  • Master’s degree in a related field.
  • Experience with real-time/streaming technologies (e.g., Kafka, Kinesis, Flink).
  • Knowledge of data security, compliance, and access control best practices.

Knowledge and Skills:

  • Snowflake (Expert) – deep expertise in data pipelines, query optimization, and enterprise-scale implementation.
  • dbt (Advanced) – strong ability to design modular, reusable transformations and maintain version-controlled models.
  • Fivetran (Advanced) – hands-on skill in managing ingestion pipelines and troubleshooting data connectors.
  • Data Warehousing & Data Modeling (Advanced) – proficiency in dimensional modeling, star/snowflake schemas, and performance tuning.

About CGS Business Solutions

CGS Business Solutions is a nationally recognized leader in IT staffing and consulting, delivering top-tier talent across Applications, Cloud & Infrastructure, Cybersecurity, Data & AI, and Engineering. As a multi-year INC 5000 winner and one of California’s Best IT Recruitment Firms, we’re known for combining boutique-level service with enterprise-grade results.

We’re also proud to be named one of the Orange County Business Journal’s Fastest Growing Companies, earning the distinction for five consecutive years as we continue to expand into new markets across the U.S. Companies trust CGS to attract, engage, and retain elite technology talent—giving them the advantage they need to lead with confidence in a rapidly evolving digital landscape