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Data Classification Jobs in California (NOW HIRING)

Autodesk

Senior Manager, Data Security

San Francisco, CA · On-site +1

$134K - $185K/yr

This leader will own the data security engineering pillar, with accountability for data classification and discovery, data loss prevention (DLP), cloud data security, and SaaS security posture.

Numentica LLC

Data / Search Specialist

Los Angeles, CA · Remote

$40 - $50/hr

Implement document-level and user-level access enforcement so retrieval respects data classification, PHI/PII boundaries, and least-privilege principles. * Collaborate with the architect and ...

Xenith Solutions

Data Ops Engineer

San Diego, CA · On-site

$121K - $146K/yr

... classification. • Demonstrate proficiency with frequent-used scripting language (Python, bash) commonly used in data science applications and data analytics. Qualifications : Required : • U.S ...

MSR Cosmos

AWS Data Architect

Gardena, CA · On-site

$65.25 - $84/hr

Data Governance Knowledge of data governance best practices including data classification access control and data lineage tracking Thanks Ramesh ramesh.u(at)msrcosmos(dot)com

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Data Classification information

What jobs make $1,000,000 a year?

In the field of data classification, high-paying roles such as Chief Data Officer or senior data science executives can earn around or above $1 million annually, especially in large corporations or tech firms. These positions typically require extensive experience, advanced skills in data management, and leadership responsibilities. Compensation often includes base salary, bonuses, and stock options.

What is the role of data classification?

Data classification is a key responsibility in data management roles, involving categorizing data based on sensitivity, importance, or usage to ensure proper handling and security. It helps organizations implement appropriate access controls, comply with regulations, and protect sensitive information effectively.

What are the key skills and qualifications needed to thrive in the Data Classification position, and why are they important?

To thrive in Data Classification, you need strong analytical skills, attention to detail, and a background in data management or information science, often supported by a relevant degree. Familiarity with data classification tools, data loss prevention (DLP) systems, and certifications such as Certified Information Systems Security Professional (CISSP) are commonly beneficial. Good communication, teamwork, and problem-solving skills help you excel in collaborating with IT, compliance, and business teams. These competencies are critical for accurately categorizing data, maintaining security standards, and ensuring regulatory compliance across an organization.

What is a Data Classification job?

A Data Classification job involves organizing and labeling data based on its sensitivity, importance, or type to ensure proper handling, security, and compliance. Professionals in this role categorize data according to predefined policies and frameworks, helping organizations safeguard sensitive information and optimize data management. They work closely with security, compliance, and IT teams to implement classification strategies and improve data governance.

What are the 4 types of data classification?

Data classification involves categorizing data based on its sensitivity and importance. The four common types are public, internal, confidential, and restricted data. Data classification helps organizations implement appropriate security measures and compliance protocols.

What are the typical challenges faced in a Data Classification role?

A common challenge in Data Classification is accurately identifying and categorizing large volumes of diverse and sometimes ambiguous data, which requires both technical proficiency and critical thinking. Balancing the need for data accessibility with strict security and compliance requirements can also pose difficulties. Collaboration with various departments, such as IT and legal, is often necessary to implement organization-wide classification policies and ensure consistent practices. By staying up-to-date with data protection regulations and evolving technology, professionals in this role can effectively address these challenges and contribute significantly to their organization’s information security strategy.

What is the highest paying data job?

Data scientists and data engineers are among the highest paying roles in data-related fields, often earning six-figure salaries depending on experience, location, and industry. Advanced skills in machine learning, big data tools, and programming languages like Python or SQL can further increase earning potential.
What are the most commonly searched types of Data Classification jobs in California? The most popular types of Data Classification jobs in California are:
What are popular job titles related to Data Classification jobs in California? For Data Classification jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Classification jobs in California look for? The top searched job categories for Data Classification jobs in California are:
Data Classification jobs near you
Infographic showing various Data Classification job openings in California as of July 2026, with employment types broken down into 74% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.
Data Loss Prevention Engineer

Data Loss Prevention Engineer

Cynet Systems

Los Angeles, CA • On-site

$48 - $53/hr

Other

Posted 4 days ago

Job description

We are looking for Data Loss Prevention Engineer for our client in Los Angeles, CA.

Job Title: Data Loss Prevention Engineer

Job Location: Los Angeles, CA

Job Type: Contract

Job Overview:

Pay Range: $48hr - $53hr

Requirement/Must Have:

  • Proven experience in Data Loss Prevention (DLP) and Microsoft Purview implementation.
  • Strong knowledge of Microsoft 365 security and compliance ecosystem.
  • Experience with data classification, labeling, and retention policies.
  • Familiarity with regulatory compliance frameworks (NIST, ISO 27001, etc.).
  • Experience handling DLP incident response and investigations.
  • Knowledge of cloud security and SaaS environments.
  • Relevant certifications preferred (e.g., Microsoft SC-400, SC-900, CISSP).
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication and documentation abilities.
  • Ability to work collaboratively with cross-functional teams.

Responsibilities:

  • Design, implement, and manage Data Loss Prevention (DLP) policies across endpoints, cloud services, and email systems.
  • Administer and configure Microsoft Purview (Data Loss Prevention, Information Protection, Insider Risk, eDiscovery).
  • Develop and enforce data classification and labeling strategies (sensitivity labels, retention policies).
  • Monitor and respond to DLP alerts and incidents, including investigation and remediation.
  • Integrate DLP controls across Microsoft 365 (Exchange, SharePoint, OneDrive, Teams).
  • Conduct data discovery and mapping to identify sensitive data across the environment.
  • Support compliance initiatives (e.g., TSA, FAA, FBI, etc.).
  • Provide reporting and dashboards on data protection posture and DLP effectiveness.
  • Collaborate with security and IT teams to align DLP with Zero Trust architecture.
  • Conduct user awareness and training related to data protection policies.
  • Perform policy tuning and optimization to minimize false positives/negatives.
  • Support audit readiness and regulatory assessments.
  • Document configurations, procedures, and governance processes.

Skills:

  • Data Loss Prevention (DLP).
  • Microsoft Purview.
  • Microsoft 365 security and compliance.
  • Data classification and labeling.
  • Regulatory compliance frameworks.
  • Cloud security.
  • SaaS environments.
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About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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