Description

We’re growing and looking to hire a Data Engineer who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.

Claroty is a global leader in cyber-physical systems (CPS) protection, dedicated to securing the critical infrastructure that keeps the world running. We’re a fast-growing, award-winning team where innovation meets purpose—and we want you to help us define the future of cybersecurity.

At Claroty, our technology strategy is focused on solving real-world cyber-physical security problems at scale through robust, distributed, cloud-native architectures. We design and evolve a unified platform that serves as the technological backbone for all Claroty products, delivering deep visibility across CPS environments—without disrupting critical operations. Our architecture emphasizes scalability, resilience, and extensibility to support both cloud and on-prem deployments.

As a Data Engineer You will be instrumental in building and maintaining the data infrastructure that powers Claroty’s solutions and supports a growing team of data scientists tackling the challenges of cyber security.

Responsibilities

As a Data Engineer, Your impact will be :

• Make a critical contribution to shaping and developing the core technology 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 multiple robust data flows.
• Develop efficient ETL processes using Spark (PySpark), Airflow, databricks or other modern frameworks.
• Implement best practices for data management, quality assurance, and security within the AWS ecosystem.
  
  

Requirements

What you need to succeed in this role:

• 3+ years of professional experience as a Data Engineer in cloud-native environments, ideally within high-growth SaaS or cybersecurity companies.
• Experience working in Spark (preferably PySpark), Python, and distributed data processing at scale.
• Strong proficiency in AWS cloud services (S3, Glue, RDS, Bedrock, etc.).
• Experience supporting ML and LLM pipelines in production environments.
• Strong SQL skills, hands on experience analyzing and improving query executions
• Proficient understanding of data modeling for high scale large volume data sets
  
  

Advantage

• Exposure to security data and cyber-physical systems and network analytics.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Solid understanding of data governance, security best practices, and compliance in cloud environments.
• Familiarity with real-time data streaming tools (e.g., Kafka, Kinesis).
  
  

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 world. 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, named a Leader in The Forrester Wave™: IoT Security Solutions, Q3 2025, 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 for multiple consecutive years.

Expected compensation for the role is between XXXXX. This is a good faith estimate but does not include equity, bonus, or other forms of payment. Pay will be determined by experience level, but those outside the salary band are welcome to apply.

Claroty is an equal-opportunity employer committed to fostering a diverse and inclusive work environment for all. We encourage applications from candidates of ALL diverse backgrounds, and special accommodations are available upon request in all selection phases.

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