Data Engineer

Description

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. 

Responsibilities

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

Requirements

• 5+ years of professional experience as a Data Engineer in cloud-native environments, ideally within high-growth SaaS or cybersecurity companies
• 4+ years of experience in Spark (preferably PySpark), Python, and distributed data processing at scale
• Extensive experience with data lake architectures and NoSQL databases (e.g. MongoDB, OpenSearch, or similar)
• Hands-on experience working with Databricks or equivalent big-data platforms
• Strong proficiency in AWS cloud services (S3, Glue, RDS, Bedrock, etc.)
• Excellent design capabilities, with the ability to understand complex requirements and architectural considerations, and proven ability to design flexible, reliable, and scalable solutions
• A collaborative mindset with demonstrated ability to work effectively across data science, analytics, and engineering teams
• Solid understanding of data governance, security best practices, and compliance in cloud environments

Preferred Qualifications:

• Experience supporting ML and LLM pipelines in production environments.
• Expertise in graph databases (Neo4j, Neptun) - advantage
• Familiarity with data orchestration tools such as Airflow, DBT, Argo Workflows
• Experience with micro services architecture and distributed systems - Advantage
• Familiarity with real-time data streaming tools (e.g., Kafka, Kinesis)
• Exposure to security data and cyber-physical systems is a significant advantage
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field

Why Claroty? Our Culture and Benefits: 

• As a Great Place to Work® certified company, we take pride in the culture we’ve built together—one rooted in camaraderie, credibility, fairness, and respect. 
• Claroty is a people first company. With strong bonds amongst the team, we believe in prioritizing personal care and support over work, confident that results follow from a harmonious environment. We celebrate professional and personal successes, committed to fostering a diverse and inclusive space. 
• Stability, we demonstrate continued growth over the past few years, raised over 700M$ from top tier investors, we have top tier board members and our products are sold worldwide, over 1000 customers. 
• We understand the importance of maintaining a healthy work-life balance, and encourage people to take the time they need to rest and prioritize their mental and physical health. We also provide a biannual “ClaroBreak”, a company-wide long weekend shutdown so we can all rest, recharge and spend time with our loved ones.
• We care about your development. At Claroty, we prioritize excellence and uphold high professional and ethical standards. We encourage career growth and exploration within the company, facilitated by biannual performance reviews, feedback sessions, and individual development planning, complemented by professional courses.
• We believe in transparency and openness. That’s why we regularly hold company all-hands, town hall meetings, and “Coffee with the CEO” sessions. We also conduct round table sessions and employee satisfaction surveys, to keep a pulse on what matters most to our team members and make our culture the best it can be. 
• While we have physical offices in New York, Tel Aviv, London and Singapore, we also embrace a hybrid working culture. This flexibility allows us to tap into a diverse talent pool and enables our team members to work in a way that suits their individual preferences and circumstances.  

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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