Sr. Data Engineer - Cloud Security (Hybrid, ISR)
CrowdStrikeIsrael - Tel Aviv (Museum)Posted 7 April 2026
Job Description
As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.
About the Role:
We're seeking a Mid to Senior Data Engineer to join our Cloud Identity & Perimeter, a critical component of CrowdStrike's security infrastructure. Our team develops and maintains complex data pipelines that process billions of records daily, analyzing identity-related security patterns, effective permissions, internet exposure, and attack paths. We're at the forefront of securing enterprise identities and delivering actionable security insights at scale.
What You'll Do:
Design and implement high-performance, distributed data processing pipelines handling petabytes of security data
Architect complex data transformations using Apache Spark for large-scale batch and stream processing
Be part of shaping new products while collaborating with product teams, customers, and sales.
Build and optimize real-time data streaming solutions using Kafka for identity analytics
Develop and maintain scalable ETL processes that handle billions of daily events
Create efficient data models for complex security analytics queries
Collaborate with cross-functional teams to deliver high-impact security features
Optimize query performance and data storage patterns for large-scale distributed systems
Participate in system design discussions and architectural decisions
The Technology Stack:
Primary Languages: Go, Java, Python
Big Data: Apache Spark, Kafka
Databases: Elasticsearch, Cassandra, Postgress, MongoDB
Data Lake: Apache Iceberg
Cloud Platforms: AWS/GCP/Azure
Container Technologies: Docker, Kubernetes
Version Control: Git
What You'll Need:
5 years of experience in data engineering or similar roles
Strong programming skills in Go and/or Java
Extensive experience with big data technologies (Apache Spark, Kafka)
Proven track record working with distributed databases (Cassandra, Elasticsearch)
Experience building and maintaining production-grade data pipelines
Strong understanding of data modeling and optimization techniques
Excellent problem-solving skills and attention to detail
BS/MS in Computer Science or related field, or equivalent experience
Bonus Points:
Experience with identity and access management concepts
Knowledge of security analytics and threat detection
Contributions to open-source projects
Experience with cloud platforms (AWS, GCP, Azure)
Background in cybersecurity or security analytics
Location:
This position is based in our Tel Aviv, Israel office and requires strong leadership presence and ability to work closely with cross-functional teams.
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Benefits of Working at CrowdStrike:
Market leader in compensation and equity awards
Comprehensive physical and mental wellness programs
Competitive vacation and holidays for recharge
Paid parental and adoption leaves
Professional development opportunities for all employees regardless of level or role
Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
Vibrant office culture with world class amenities
Great Place to Work Certified™ across the globe
CrowdStrike is proud to be an equal opportunity employer. We are committ ... (truncated, view full listing at source)
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