About Us:
Proofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple: safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people.
How We Work:
At Proofpoint you’ll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values:
Bold in how we dream and innovate
Responsive to feedback, challenges and opportunities
Accountable for results and best in class outcomes
Visionary in future focused problem-solving
Exceptional in execution and impact
We're seeking a Senior Data Engineer to build and maintain the ML/AI data infrastructure powering our email security platform. In this role, you'll design and optimize scalable data pipelines that enable threat detection and investigation while supporting both machine learning models and LLM-powered agents that provide context-aware security insights.
You'll work on our Detection Intelligence Platform (DIP) building feature engineering frameworks, and offline/online feature stores that serve as the foundation for ML model research and context engineering for AI agents. You'll collaborate with data scientists, ML engineers, and security researchers to build data models and context stores that power our detection systems and enable human security analysts to investigate threats effectively.
Develop and maintain scalable data pipelines on AWS/Azure using technologies such as Spark, Airflow, Athena, Kubernetes etc. to process structured and unstructured email data at scale
Several years of industry experience building and maintaining distributed data systems and high-scale data pipelines in a managed cloud environment (AWS / Azure / GCP) using big data processing engines such as Spark, Flink, Dask, Ray, Beam, DataBricks Workflows or similar
Experience with feature engineering frameworks and feature stores (e.g., Feast, Tecton, or custom solutions)
Why Proofpoint?
At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons you’ll love working with us:
Competitive compensation
Comprehensive benefits
Career success on your terms
Flexible work environment
Annual wellness and community outreach days
Always on recognition for your contributions
Global collaboration and networking opportunities
Our Culture:
Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone.
We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to [email protected].
How to Apply
Interested? Submit your application along with any supporting information- we can’t wait to hear from you!
