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Data Classification Jobs in California (NOW HIRING)

Data Ops Engineer

San Diego, CA · On-site

$200 - $240/hr

Partner with security and governance teams to enforce encryption, authentication authorization, and data classification. * Demonstrate proficiency with frequent-used scripting language (Python, bash ...

Cyber Data Protection Manager

San Francisco, CA · On-site

$130K - $176K/yr

DLP, sensitivity labels, data classification, DSPM, DSPM for AI, on-demand classification, or related Microsoft 365 data security capabilities * Knowledge of AI security and governance concepts ...

Cyber Data Protection Manager

Costa Mesa, CA · On-site

$119K - $160K/yr

DLP, sensitivity labels, data classification, DSPM, DSPM for AI, on-demand classification, or related Microsoft 365 data security capabilities * Knowledge of AI security and governance concepts ...

Cyber Data Protection Manager

Los Angeles, CA · On-site

$119K - $161K/yr

DLP, sensitivity labels, data classification, DSPM, DSPM for AI, on-demand classification, or related Microsoft 365 data security capabilities * Knowledge of AI security and governance concepts ...

Data Ops Engineer

San Diego, CA · On-site +1

$200K - $240K/yr

Partner with security and governance teams to enforce encryption, authentication authorization, and data classification. * Demonstrate proficiency with frequent-used scripting language (Python, bash ...

AWS Data Architect

Torrance, CA · On-site

$66.50 - $85.50/hr

Knowledge of data governance best practices including data classification, access control, and data lineage tracking. Preferred Qualifications: * Experience with data lake house architectures and the ...

... data classification/discovery, Insider Risk Management). * Participate in requirements gathering, workshops, and documentation efforts. * Execute assigned tasks within project plans and contribute to ...

... data classification/discovery, Insider Risk Management). * Participate in requirements gathering, workshops, and documentation efforts. * Execute assigned tasks within project plans and contribute to ...

... data classification/discovery, Insider Risk Management). * Participate in requirements gathering, workshops, and documentation efforts. * Execute assigned tasks within project plans and contribute to ...

... data classification/discovery, Insider Risk Management). * Participate in requirements gathering, workshops, and documentation efforts. * Execute assigned tasks within project plans and contribute to ...

... data classification/discovery, Insider Risk Management). * Participate in requirements gathering, workshops, and documentation efforts. * Execute assigned tasks within project plans and contribute to ...

Effectively communicate the shift from legacy Data Loss Prevention (DLP) and manual classification to Bedrock's autonomous Metadata Lake architecture. * Executive Alignment: Build and maintain ...

Data Ops Engineer

San Diego, CA · On-site

$200K - $240K/yr

Partner with security and governance teams to enforce encryption, authentication authorization, and data classification. * Demonstrate proficiency with frequent-used scripting language (Python, bash ...

Showing results 21-40

Data Classification information

What is a data classification?

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 key skills and qualifications needed to thrive in data classification?

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 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 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:

Infographic showing various Data Classification job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Ops Engineer

Saic

San Diego, CA • On-site

$200 - $240/hr

Other

Re-posted 11 days ago


SAIC rating

7.6

Company rating: 7.6 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

103rd of 226 rated it services


Job description

Description

We are seeking a Data Ops Engineer to design, build, and maintain real-time data ingestion pipelines. In this role, you will be responsible for the reliable flow of streaming data from a wide range of sources into our data platform, ensuring data quality, observability, and scalability. You'll partner closely with data engineers, platform engineers, and analytics teams to deliver trustworthy, low-latency data that supports operational decisions. This position is on-site in San Diego, CA. Aid the team in delivering continual data feeds to users and monitoring the status of the health of data quality and overall data ingest.



  • Aid the team in delivering continual data feeds to users and monitoring the status of the health of data quality and overall data ingest.

  • Build resilient pipelines with appropriate backpressure, prioritization, retries, and error-handling strategies.

  • Employ a variety of data manipulation and visualization tools to effectively convey status and historical trends to leadership, users, and data team.

  • Collaborate with platform, software, and other data engineers to (re)configure data ingestion pipelines to be more reliable.

  • Work with data in a variety of formats including Excel, CSV, JSON, and XML.

  • Support the incident management process to ensure that incidents are documented and resolved quickly. Perform root cause analysis to understand and

  • prevent repeated occurrences of data outages.

  • Develop and maintain software to automate monitoring of real-time feeds and alert for timeliness, volume, lineage, and distribution data issues. Process learnings and rely on historical data from data pipelines, translating them into actionable steps to improve data ingest.

  • Partner with security and governance teams to enforce encryption, authentication authorization, and data classification.

  • Demonstrate proficiency with frequent-used scripting language (Python, bash) commonly used in data science applications and data analytics.


Qualifications

  • U.S. citizenship and an active TS/SCI

  • Bachelor of Science required in the following preferred fields: Computer Science, Mathematics, EE, Physics, Information Systems, or Information Technology.

  • 3+ years of experience in data engineering, data operations, or DevOps roles supporting production data pipelines.
    Tools

  • Apps/Platforms: NiFi, Kafka, Grafana, Prometheus, Apache Flink/Spark Streaming, Snowflake, Elasticsearch, Kafka, MQTT, JMS
    Operating Systems: Windows, Linux (RedHat).


Target salary range: $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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