We are growing and seeking for a Data Engineer with strong technical expertise and outstanding collaboration skills to join our dynamic Data Science and Analytics team. You will be instrumental in building and maintaining the data infrastructure that powers Claroty’s xDome solution and supports a growing team of scientists applying advanced machine learning to cybersecurity challenges.

This role demands a hands-on, proactive engineer who can work side-by-side with analysts, data scientists, and product teams to design scalable solutions, ensure data reliability, and drive technical excellence in our AWS-native environment.

About Claroty:   

Claroty has redefined cyber-physical systems (CPS) protection with an unrivaled industry-centric platform built to secure mission-critical infrastructure. The Claroty Platform provides the deepest asset visibility and the broadest, built-for-CPS solution set in the market comprising exposure management, network protection, secure access, and threat detection – whether in the cloud with Claroty xDome or on-premise with Claroty Continuous Threat Detection (CTD). Backed by award-winning threat research and a breadth of technology alliances, The Claroty Platform enables organizations to effectively reduce CPS risk, with the fastest time-to-value and lower total cost of ownership. Our solutions are deployed by over 1,000 organizations at thousands of sites across all seven continents.

A Great Place to Work® certified company, Claroty is headquartered in New York City with employees across the Americas, Europe, Asia-Pacific, and Tel Aviv. The company is widely recognized as the industry leader in CPS protection, with backing from the world’s largest investment firms and industrial automation vendors, as well as being named a Leader in the 2025 Gartner® Magic Quadrant™ for CPS Protection Platforms, recognized by KLAS Research as Best in KLAS for Healthcare IoT Security five years in a row, and ranking on the Forbes Cloud 100 and Deloitte Technology Fast 500 multiple consecutive years. 

As a Data Engineer, your impact will be:

• Make a critical contribution to shaping and developing the core of our Data Platform used for AI research and business intelligence, from design to implementation
• Design and build complex data pipelines to move and manipulate data from a wide variety of data sources.
• Closely collaborate with various teams, including Software Engineering, AI Engineering and Product Management
• Integrate and manage robust data flows between Claroty’s xDome SaaS environment and internal data platforms
• Develop efficient ETL processes using Spark (PySpark), Airflow and other modern frameworks
• Own and optimize the Databricks (or equivalent) environment, ensuring seamless data access, governance, and performance tuning
• Implement best practices for data management, quality assurance, and security within the AWS ecosystem
• Partner with ML teams to deploy and maintain feature stores, model input pipelines, and model monitoring systems