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.

About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability. We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. Red Canary, a Zscaler company, monitors an enterprise’s environment to detect and respond to cybersecurity threats so they can focus on their mission. Our Managed Detection and Response (MDR) solution is a unique blend of human expertise and security, which protects organizations from modern adversaries as their teams work remotely, move to the cloud, and they adopt new cybersecurity and IT technologies. Role We are looking for a Principal AI and Data Architect to join our Red Canary team. This is a Remote role, reporting to the VP, Software Engineering. You will architect the large-scale data infrastructure and advanced AI/ML frameworks necessary to automate threat detection and enhance SOC efficiency. Ultimately, this leader will transform massive security telemetry into actionable intelligence using ML Models, LLMs, and AI agents to drastically reduce manual analyst workloads. What you’ll do (Role Expectations) - Lead the design and implementation of large-scale data architectures for cloud-based systems (AWS, Azure) to efficiently ingest, store, and process massive volumes of security telemetry and alerts - Spearhead advanced AI/ML initiatives, including Generative AI, to develop end-to-end AI solutions for SOC automation, threat detection, and threat hunting, leveraging frameworks like Scikit-learn, TensorFlow, and PyTorch - Drive the use of Large Language Models (LLMs) and AI Agents to enhance the enrichment of security data, enabling faster human decision-making, while exploring and evaluating various LLM architectures - Collaborate across teams to integrate ML-driven insights into the platform and apply automation and analytics to reduce analyst workload and enhance detection fidelity - Provide architectural guidance across engineering based on the fast-paced world of GenAI, Agents, and classic ML models, including those developed by our internal R&D teams Who You Are (Success Profile) - You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. - You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution. - You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact. - You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. - You are a learner. You have a true growth mindset and never stop developing yourself, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We’re Looking for (Minimum Qualifications) - 12+ years of experience inclusive of data architecture and AI/ML, with a track record of designing and implementing large-scale data systems and production-grade ML solutions - Proficiency in Python (for data processing and ML pipelines), cloud platforms (AWS and/or Azure including data storage, compute services, and security controls), and MLOps best practices - Bachelor's degree in Computer Science or a related field or equivalent What Will Make You Stand Out (Preferred Qualifications) - Security domain knowledge including SOC operations, threat detection methodologies, log formats, common attack techniques, and understanding of how ML can enhance detection and response - Familiarity with modern data pipelines, streaming technologies, and AI Agent frameworks - Proficiency with infrastructure-as-code, containerization, and CI/CD for data and model deployments #LI-KM9 #LI-Remote Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $133,000—$235,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: - Various health plans - Time off plans for vacation and sick time - Parental leave options - Retirement options - Education reimbursement - In-office perks, and more! Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

Overview: Corporate Tools is hiring a Senior Data Engineer for up to $150,000/year. You will be a traditional company employee. This is a remote position, but if you're near one of our local offices, you're welcome to come hangout with us in-office as well. Our main offices are in Post Falls, ID, and Spokane, WA; we also have satellite offices in Austin, TX, and Salt Lake City, UT. You'll be working 40 hours a week and, of course, enjoy great company benefits. As a Senior Data Engineer at Corporate Tools, you will work closely with our Software and Analyst teams to manage everything that has to do with data. This role will help get large datasets into the hands of people that need it while also making sure it doesn't adversely impact other things we have going on in our software ecosystem. There will be a heavy focus on infrastructure, data pipelines and scalable database design - we want someone who can help us improve our current databases and infrastructure and maintain it in a cost-effective manner. This is more than just building and maintaining ETL pipelines. We need innovation, creativity, and solutions that will have a significant impact on how our data is handled and created. Wage: $150,000/year Benefits: - 100% employer-paid medical, dental and vision for employees - Annual review with raise option - 22 days Paid Time Off accrued annually, and 4 holidays - After 3 years, PTO increases to 29 days. Employees transition to flexible time off after 5 years with the company-not accrued, not capped, take time off when you want - The 4 holidays are: New Year's Day, Fourth of July, Thanksgiving, and Christmas Day - Paid Parental Leave - Up to 6% company matching 401(k) with no vesting period - Quarterly allowance - Use to make your remote work set up more comfortable, for continuing education classes, a plant for your desk, coffee for your coworker, a massage for yourself... really, whatever - Open concept office with friendly coworkers - Creative environment where you can make a difference - No dumb benefits like free dog walking on the weekends that snobby hipster places have to make you feel cool, but mathematically won't cost the company much money because you won't use it - Trail Mix Bar --- oh yeah Responsibilities: - Focus on data infrastructure. Lead and build out data services/platforms from scratch (using OpenSource tech). - Creating and maintaining transparent, bulletproof ETL (extract, transform, and load) pipelines that cleans, transforms, and aggregates unorganized and messy data into databases or data sources. - Consume data from roughly 40 different sources - Collaborate closely with our Data Analysts to get them the data they need. - Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. - Improve existing data models while implementing new business capabilities and integration points. - Creating proactive monitoring so we learn about data breakages or inconsistencies right away. - Maintaining internal documentation of how the data is housed and transformed. - Improve existing data models, and design new ones to meet the needs of data consumers across Corporate Tools. - Stay current with latest cloud technologies, patterns, and methodologies; share knowledge by clearly articulating results and ideas to fellow engineers, data analysts, and stakeholders. Requirements: - Bachelor's (BA or BS) in computer science, or related field. - 2+ years in a full stack development role - 4+ years of experience working in a data engineer role, or related position. - 2+ years of experience standing up and maintaining a Redshift warehouse - 4+ years of experience with Postgres, specifically with RDS. - 4+ years of AWS experience, specifically S3, Glue, IAM, EC2, DDB, and other related data solutions. - Experience working with Redshift, DBT, Snowflake, Apache Airflow, Azure Data Warehouse, or other industry standard big data or ETL related technologies. - Experience working with both analytical and transactional databases. - Advanced working SQL (Preferably PostgreSQL) knowledge and experience working with relational databases. - Experience with Grafana or other monitoring/charting systems. - Proven knowledge of data platforms and tangible examples of designing and developing complex data pipelines to support better decision making in the business. - Experience hosting and operating data platforms in cost efficient manner. - Ability to translate business requirements into non-technical, lay terms. - Proven expertise with data architecture design and deployment, data modeling, and database development.