Coinbase
DataProtectionEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Protection Engineer at Coinbase. Skills: Data loss prevention, DLP automation, Security operations. Build DLP controls. Maintain DLP tooling”
What You'll Achieve.
Scale data protection coverage; Improve workflow efficiency; Reduce costs; Improve quality
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
3+ years security engineering experience, Hands-on DLP implementation, Testing DLP controls, Tuning DLP controls, Deploying DLP controls, Experience building insider threat technologies, Experience operating insider threat technologies, Experience building data protection technologies, Experience operating data protection technologies, Understanding investigation lifecycle, Understanding intelligence lifecycle, Proficiency creating scalable security processes, Proficiency creating automated security processes, Practical ML/AI tooling experience, Working knowledge insider threat landscape, Knowledge legal considerations, Knowledge regulatory considerations, Knowledge ethical considerations, Communicate findings clearly, Deliver business-ready outputs, Drive measurable improvements
Nice to Have
Security engineering experience solving complex challenges, Solving operational problems, Engineering first mindset, Automation first mindset, Experience in Web3, Experience in crypto forward organizations, Experience in traditional financial institutions
What You'll Do.
Implement prevention capabilities
Tune prevention capabilities
Scale data protection
Partner with cross-functional teams
Deploy data protection technologies
Ensure timely remediation
Support cross-functional initiatives
Produce metrics reporting
Keep leadership informed
Support data protection strategy
Measure control effectiveness
Address changes in laws
Harden security posture
How You'll Work.
Team & Collaboration
Partner with cross-functional teams; Partner with endpoint security; Partner with IT; Partner with engineering; Partner with product; Partner with compliance; Partner with privacy
Communication Scope
Communicate findings
Full Job Description
Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. You'll join the Security Operations team as a Data Protection Engineer, helping implement and scale the data loss prevention (DLP) capabilities that protect the Coinbase ecosystem from security threats. This team builds and operates data protection controls across a decentralized tech environment, balancing strong security with the speed of business. You'll focus on automating DLP operations using LLMs and agentic AI, deploying scalable prevention solutions, and partnering cross-functionally to mitigate data security risk and maintain compliance with global regulations. What you’ll be doing (ie. job duties): 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, c
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