• Create and maintain standardized data visualizations to support Medical Data Review and safety signal detection, following established templates and guidance. • Apply defined visualization standards to generate outputs aligned with Risk-Based Quality Management (RBQM) principles and Critical to Quality (CtQ) endpoints. • Work under guidance to implement visual analytics within timelines tied to First Patient In (FPI) or predefined safety milestones. • Support documentation and quality control of visualization deliverables to ensure traceability and compliance. • Participate in training sessions and incorporate feedback from more experienced Real-time Visual Analytics Specialists. • Assist in responding to basic stakeholder requests and clarifying data availability or visualization functionality. • Work under general supervision and apply independent judgment to interpret guidance, prioritize responsibilities, and make decisions in situations that require contextual understanding. • Apply judgment to address moderately complex statistical or data issues, balancing scientific rigor with appropriate flexibility, and seek guidance when facing novel or ambiguous situations. • Adhere to functional standards by participating in peer review and mentoring relationships to uphold quality and build methodological and regulatory expertise.

• Build and manage reliable data pipelines involving ingestion/collection, processing, integration, storage, and provisioning of data across the organization • Work within a distributed systems architecture for massively parallel (MPP) data processing, combining multiple heterogeneous data sources and collaborating with analytics and data science teams to build solutions and generate data-driven value

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. We are looking for a Data Protection Engineer (L4) to help implement and maintain our data protection capabilities, ensuring the Coinbase ecosystem remains resilient against security threats. You will contribute to our data protection strategy, helping to balance strong security controls with the speed of a decentralized tech environment. You will focus on automating data protection operations, utilizing tools including LLMs and agentic AI, to build scalable Data Loss Prevention (DLP) solutions. You will work with other teams to mitigate risk and ensure compliance with global regulations. What you’ll be doing (ie. job duties): - Support and expand data loss prevention capabilities to protect Coinbase ecosystem from sophisticated data security incidents - Support execution of the long term strategy for the Data prevention program to harden security posture against data security threats - Implement and maintain complex designs/controls across a decentralized tech environment to promote security without impeding the speed of business - Implement and deploy Data Protection tools and technologies in concert with cross functional teams (ie. endpoint security, information technology, and others) - Demonstrate operational efficiency across a wide array of DLP Engineering & Operations leveraging LLMs and agentic AI - Bring an automation first mindset to champion and drive a more streamlined and scalable approach towards DLP operations - Produce quantitative and qualitative metrics to apprise Data Protection Leadership of programmatic impact and challenges - Collaborate across Security and Privacy Teams and lead cross functional data protection initiatives - Collaborate with cross functional teams like engineering, product development, compliance to ensure timely remediation - Work in concert with risk teams to measure control effectiveness and address changes in laws/regulations globally What we look for in you (ie. job requirements): - You are an experienced security engineer in the data protection space who can deliver measurable results - You have the technical acumen to solve operational issues with an engineering solution - You have direct experience testing, tuning, and implementing data prevention controls across multiple OS stack - You are comfortable manipulating and orchestrating controls to address multiple operating systems (iOS / Chrome) and decentralized datasets - You are adept at creating scalable processes, automating where possible, and leveraging ML/AI where feasible to maximize efficiency - You can be trusted to be discreet and thoughtful while working cross functionally to mitigate risk - You are actively aware of the insider threat landscape, and understand the legal, regulatory, and ethical considerations of working with sensitive data across a global enterprise - You have experience working and building Insider Threat technologies (such as Security Information Event Management - SIEM, User Behavioral Analytics - UBA, Data Loss Prevention - DLP) and an understanding of investigations and/or the intelligence cycle - You have excellent verbal and written communication skills. Other team members ask for your input to communicate clearly and concisely and you are comfortable composing briefs and assessments consumed by leadership - Business acumen: Proven understanding of business dynamics, goals, and product strategy. Knowledge of how Security fits into Coinbase’s overall business. - The ability to balance business needs, a sense of urgency, conflicting constraints, and shipping high quality and pragmatic solutions in a fast-moving and quickly-growing company. - Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human‑in‑the‑loop practices to deliver business‑ready outputs and drive measurable improvements in efficiency, cost, and quality. Nice to haves: - 3+ years of 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 Job ID: P76311 #LI-Remote Pay Transparency Notice: Depending on your work location, the target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)). Annual base salary range (excluding equity and bonus): $144,500—$170,000 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal OpportunityCoinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Employee Rights and the Know Your Rights notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Global Data Privacy Notice for Job Candidates and ApplicantsDepending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here. AI DisclosureFor select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com

• Design, implement, and optimize high-throughput, low-latency data pipelines capable of processing billions of events per day. • Build scalable data ingestion and transformation frameworks leveraging Kafka, Flink, Spark, Airflow, Beam, and/or GCP-related data engineering technologies. • Ensure fault-tolerance, exactly-once semantics, and replayability in all event processing flows. • Establish reusable patterns and accelerators for pipeline development, deployment, and monitoring. • Design data models across streaming, analytical, and serving layers (Bronze/Silver/Gold, event sourcing, CDC, and dimensional schemas). • Partner with Data Architects to evolve domain-driven data models ensuring semantic alignment and traceability from source to consumption. • Implement optimal partitioning, clustering, and indexing strategies for performance and cost efficiency across Databricks, BigQuery and other storage & processing engines. • Embed observability, lineage, and data quality validations into every pipeline. • Define and enforce SLAs and SLOs for data delivery, freshness, and accuracy. • Collaborate with Platform Engineers to integrate metrics, alerts, and self-healing mechanisms for critical data flows. • Act as a technical leader within the Data Engineering team: leading design reviews, conducting architecture spikes, and mentoring engineers. • Work closely with AI, Platform, and Product teams to deliver event-driven capabilities that power intelligent products in real time. • Promote craftsmanship, performance, and simplicity as core engineering values.