Data Security Engineer
Posted 21hrs ago
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Job Description
Data Security Engineer responsible for designing and implementing data protection strategies at CAQH. Collaborating across data environments to safeguard sensitive information and ensure regulatory compliance.
Responsibilities:
- Partner with data owners and the Data team to identify and inventory critical data assets across the enterprise.
- Implement automated and programmatic classification of sensitive data using tools such as Wiz, Microsoft Purview, Varonis and other data security solutions.
- Develop and maintain data protection policies aligned with regulatory standards (e.g., HITRUST, HIPAA).
- Apply and tune DLP policies across email, cloud, USB, printing, and endpoint channels.
- Build dashboards, alerts, and metrics for real-time monitoring of data protection events.
- Implement and manage data rights enforcement mechanisms to ensure appropriate access and usage of sensitive data.
- Contribute to the deployment and tuning of DSPM tools such as Wiz, Zscaler, Varonis, Imperva and others to enhance visibility and control.
- Collaborate with infrastructure teams to ensure backup and recovery strategies align with data protection objectives and support immutable backups.
- Integrate DLP and DSPM tools with SIEM for incident response, ticketing, and compliance reporting.
- Work closely with CAQH teams to align protection strategies with business operations. Provide training and documentation to business units on data protection best practices.
Requirements:
- Strong domain knowledge in data analytics, data science, ETL pipelines, and both relational and NoSQL databases.
- Proven track record in building and enforcing full-stack security guardrails for modern architectures involving APIs, microservices, data storage, ETL, backup & restore and streaming platforms.
- Lead the definition and implementation of enterprise-wide data protection strategies, policies, and frameworks.
- Partner with data architecture, engineering, and science teams to embed security into data platforms, pipelines, and ML workflows.
- Demonstrated success in implementing data protection strategies to prevent data loss and leakage, with deep knowledge of encryption, access control, and secure data handling.
Benefits:
- medical, dental, and vision coverage
- 401(k) with company contributions and matching
- paid parental leave
- tuition assistance
- generous paid time off
















