[Remote] Data Protection Engineer

Note: The job is a remote job and is open to candidates in USA. Coinbase is a company focused on increasing economic freedom and is seeking a Data Protection Engineer to join their Security Operations team. The role involves implementing and scaling data loss prevention capabilities to protect the Coinbase ecosystem from security threats, while collaborating with cross-functional teams to ensure compliance with global regulations.

Responsibilities

• Build and maintain DLP controls and tooling across multiple OS environments (iOS, Chrome) and decentralized datasets, implementing and tuning prevention capabilities that protect against sophisticated data security incidents
• Drive automation across DLP engineering and operations by leveraging LLMs, agentic AI, and an automation-first mindset to streamline workflows, reduce manual effort, and scale data protection coverage
• Partner with cross-functional teams, including endpoint security, IT, engineering, product, compliance, and privacy, to deploy data protection technologies, ensure timely remediation, and support cross-functional data protection initiatives
• Execute monitoring and metrics reporting by producing quantitative and qualitative measures of programmatic impact, control effectiveness, and emerging risk to keep Data Protection leadership informed of challenges and progress
• Support the long-term data protection strategy by working with risk teams to measure control effectiveness, address changes in global laws and regulations, and harden Coinbase's security posture against evolving data threats

Skills

• 3+ years of security engineering experience with direct, hands-on implementation of enterprise DLP programs, including testing, tuning, and deploying data prevention controls across multiple OS environments and decentralized datasets
• Demonstrated experience building and operating insider threat and data protection technologies (SIEM, UBA, DLP, endpoint detection), with an understanding of the investigation and intelligence lifecycle
• Proficiency in creating scalable, automated security processes, with practical experience leveraging ML/AI tooling to maximize operational efficiency across DLP engineering and operations
• Working knowledge of the insider threat landscape and the legal, regulatory, and ethical considerations of handling sensitive data across a global enterprise, with the ability to communicate findings clearly through briefs and assessments for leadership
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality
• Security engineering experience solving complex security challenges across enterprise-wide DLP Programs
• Solving operational problems leveraging engineering / automation first mindset
• Experience in Web3 and crypto forward organizations or traditional financial institutions

Benefits

• Equity and bonus eligibility
• Benefits (medical, dental, vision, 401(k))

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