Data Protection Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Protection Engineer with a contract length of "X months" and a pay rate of "$X/hour". Key skills include DLP tools, scripting (Python, Bash), API integration, and familiarity with security principles. Industry experience in corporate environments is required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
-
🗓️ - Date discovered
May 28, 2025
🕒 - Project duration
Unknown
-
🏝️ - Location type
Unknown
-
📄 - Contract type
Unknown
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
Palo Alto, CA
-
🧠 - Skills detailed
#Programming #GIT #Classification #Scala #Terraform #Scripting #Security #Monitoring #Python #Version Control #Ansible #Bash #Data Loss Prevention
Role description
Responsibilities:
• Implement and maintain data protection tools ensuring optimal configuration and performance.
• Develop and manage policies for data loss prevention (DLP) and detection, including scanning and identifying sensitive data across systems.
• Monitor and respond to incidents related to data protection, providing "break glass" support to maintain security and availability.
• Integrate and optimize data protection tools with other security platforms using APIs, custom scripting, and orchestration frameworks.
• Conduct regular assessments of data protection controls to ensure alignment with evolving threats and organizational goals.
• Conduct data discovery and classification initiatives, ensuring sensitive information is adequately protected
Qualifications:
• Experience implementing and managing DLP tools and configuring data protection policies in corporate environments.
• Strong scripting and programming skills (e.g., Python, Bash) to automate data protection operations and enhance tool integrations.
• Proven ability to integrate security tools using RESTful APIs and customize workflows for scalable, tactical data protection.
• Familiarity with endpoint and email security principles, including hands-on experience with protection and monitoring platforms.
• Proficiency with infrastructure-as-code tools (e.g., Terraform, Ansible) to automate and standardize security configurations.
• Strong understanding of CI/CD pipelines and version control systems (e.g., Git) for deploying and maintaining secure solutions.
Responsibilities:
• Implement and maintain data protection tools ensuring optimal configuration and performance.
• Develop and manage policies for data loss prevention (DLP) and detection, including scanning and identifying sensitive data across systems.
• Monitor and respond to incidents related to data protection, providing "break glass" support to maintain security and availability.
• Integrate and optimize data protection tools with other security platforms using APIs, custom scripting, and orchestration frameworks.
• Conduct regular assessments of data protection controls to ensure alignment with evolving threats and organizational goals.
• Conduct data discovery and classification initiatives, ensuring sensitive information is adequately protected
Qualifications:
• Experience implementing and managing DLP tools and configuring data protection policies in corporate environments.
• Strong scripting and programming skills (e.g., Python, Bash) to automate data protection operations and enhance tool integrations.
• Proven ability to integrate security tools using RESTful APIs and customize workflows for scalable, tactical data protection.
• Familiarity with endpoint and email security principles, including hands-on experience with protection and monitoring platforms.
• Proficiency with infrastructure-as-code tools (e.g., Terraform, Ansible) to automate and standardize security configurations.
• Strong understanding of CI/CD pipelines and version control systems (e.g., Git) for deploying and maintaining secure solutions.
