Data Protection Engineer

About the Role

The Security Operations team at Coinbase is a dynamic and fast-paced environment, with a focus on building and operating data protection controls across a decentralized tech environment. The team is committed to balancing strong security with the speed of business, and is looking for a skilled Data Protection Engineer to help drive this effort forward.

The company's commitment to remote work and flexible hours means that you will have the opportunity to work from anywhere, while still being part of a tight-knit team that comes together quarterly for intense in-person working sessions.

What You Will Do

• 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.
• Collaborate with the engineering team to develop and implement new data protection technologies and tools.
• Provide technical guidance and support to junior team members, helping to develop their skills and expertise.
• Stay up-to-date with the latest developments in data security and DLP, applying this knowledge to improve the company's data protection capabilities.

What We Are Looking For

• 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.
• Strong understanding of cloud-based infrastructure and containerization technologies.
• Experience with agile development methodologies and version control systems.

Nice to Have

• Security engineering experience solving complex security challenges across enterprise-wide DLP Programs.
• Experience with decentralized technologies and blockchain-based systems.
• Familiarity with regulatory requirements and compliance frameworks, such as GDPR and CCPA.

Benefits and Perks

• Competitive salary and equity package.
• Comprehensive health, dental, and vision insurance.
• Flexible working hours and remote work options.
• Quarterly in-person working sessions with the team.
• Access to cutting-edge technologies and tools.
• Opportunities for professional development and growth.
• 401(k) matching and retirement savings plan.
• Paid time off and holidays.
• Employee assistance programs and mental health support.

• Develop a strong understanding of DLP programs and automation tools, including LLMs and agentic AI.
• Build a portfolio of your work, including examples of your experience with data protection technologies and automation.
• Be prepared to discuss your experience with cross-functional teams and stakeholders, including engineering, product, and compliance.
• Research the company's security posture and be prepared to discuss how you can contribute to it.
• Don't be afraid to ask questions during the interview process, and be prepared to provide specific examples of your experience and skills.
• Consider obtaining certifications in DLP or related fields to demonstrate your expertise and commitment to the field.