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Senior Data Engineer
HybridFull-timeData EngineeringCybersecurity
Join a cybersecurity company building data infrastructure for monitoring, analytics, policy enforcement, and real-time remediation of autonomous AI agents. This full-time hybrid role is based in Israel.
Responsibilities
- Design, build, and maintain scalable data pipelines for security and operational data.
- Implement robust ETL processes and optimize data integration workflows.
- Develop and optimize data models and data warehousing solutions.
- Collaborate with product, data science, and security teams to define data requirements.
- Ensure data quality and deliver datasets and tools for analytics, detection, and real-time remediation.
- Contribute to data architecture decisions, performance tuning, governance, and documentation.
Requirements
- Strong data engineering experience building scalable pipelines and distributed data systems.
- Experience with data modeling and data warehousing for analytics, reporting, and high-volume workloads.
- Hands-on experience with ETL processes and tools for integrating multiple data sources.
- Knowledge of data analytics concepts and their application to security insights and product features.
- Proficiency in Python, Scala, or Java and SQL.
- Experience with modern data platforms, such as cloud data services, streaming frameworks, or big data ecosystems.
- A bachelor's or master's degree in computer science, engineering, data science, or a related field, or equivalent practical experience.
- Clear English communication skills and the ability to collaborate effectively in a hybrid environment.
Nice to have
- Experience in security, artificial intelligence, or monitoring systems.
- Experience in a fast-paced startup environment.
- A master's degree in computer science, engineering, data science, or a related field.