About Us:Proofpoint is a integral 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 innovateResponsive to feedback, challenges and opportunitiesAccountable for results and best in class outcomesVisionary in future focused problem-solvingExceptional in execution and impactTheRoleWe'reseeking a Senior Data Engineer to build and maintain theML/AIdata infrastructure powering our email security platform.
In this role,you'lldesign andoptimizescalable data pipelines that enable threat detection and investigation while supporting both machine learning models and LLM-powered agents thatprovidecontext-aware security insights.You'llwork on our Detection Intelligence Platform (DIP) buildingfeature engineering frameworks, and offline/online feature stores that serve as the foundation for ML modelresearchandcontext engineering for AI agents.You'llcollaborate with data scientists, ML engineers,



and security researchers to builddatamodels and context stores that power our detection systems and enable human security analysts to investigate threats effectively.Key Responsibilities:Developandmaintainscalable data pipelines on AWS/Azureusingtechnologies such asSpark,Airflow,Athena,Kubernetesetc.to process structured and unstructured email data at scaleDesignandoptimizeIceberg-based data laketablesand schemasfor efficientstorage,queryingandversioningacross petabyte-scale datasetsdistributed across data centers globallyBuild and managefeature engineering frameworks that support offline batch processing and online real-time featureservingfor ML model training and inferenceDevelop andmaintaintraining data pipelinesoptimizedfor distributed ML model training, ensuring data lineage and reproducibilityCollaborate with data scientists and security researchers to understand data requirements and translate them into robust, production-grade data solutionsMonitor andoptimizedata pipeline performance, implementing observability and alerting to ensure data freshness and qualityMentor junior engineers and foster a culture of engineering excellence and knowledge sharingRequired Experience:Several years of industry experience building andmaintainingdistributed 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,DataBricksWorkflowsor similarDeepproficiencyin Python for developing production-grade data processing codeStrong experience with Infrastructure-as-Code frameworks,



particularly TerraformSolid understandingand hands-on experience withopen table formats for data lakes(Apache Iceberg, Hudi,DeltaLake)and data modeling best practices Experience with AWS Athena, Glue, or similar data query and cataloging servicesExperience with Apache Airflow or similar workflow orchestration tools for batch and real-time pipeline managementDemonstrated ability to design and implement scalable ETL/ELT pipelines handling complex data transformationsExcellent communication skills and ability to collaborate effectively with technical and non-technical stakeholdersGood to have:Experiencewithfeature engineering frameworks and feature stores (e.g., Feast,Tecton, or custom solutions)Familiarity with Kubernetes for containerized data workloads and orchestrationBackground in building data infrastructure for machine learning and AI applicationsExperience with data quality frameworks and observability tools for data pipelinesWhy 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 compensationComprehensive benefitsCareer success on your termsFlexible work environmentAnnual wellness and community outreach daysAlways on recognition for your contributionsGlobal collaboration and networking opportunitiesOur 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

📌 Senior Data Engineer (Córdoba)
🏢 Proofpoint
📍 Córdoba