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Data Engineer
·Israel
On-siteFull-timeData EngineeringCybersecurity
Data Engineer needed to build scalable data pipelines transforming raw customer data into normalized models for an AI-driven security platform. Work with identity, endpoint, and security data to create a context graph powering AI agents. Collaborate to drive product insights.
Responsibilities
- Collaborate with stakeholders to design and validate data models.
- Run end-to-end POCs connecting new data sources, ingesting, normalizing, and correlating entities.
- Analyze data to shape model development, measuring coverage and accuracy.
- Integrate identity, endpoint, and security data sources into consistent models.
- Build and own scalable data pipelines using Python, SQL, and dbt.
Requirements
- Analytical and product-oriented mindset with ability to investigate datasets and translate insights into solutions.
- 4+ years of experience as a Data Engineer.
- Strong proficiency in SQL and Python, with relational data modeling and API integration experience.
- Independent and proactive, able to drive projects from raw data to production.
- Excellent communication and cross-functional collaboration skills.
- Experience working with AI agent systems and evaluating their outputs.
Nice to have
- Background in cybersecurity, including security operations, identity, endpoint, and alert data.
- Experience with modern data stack tooling (Airflow, Dagster, etc.).
- Hands-on experience with dbt models and tests in production.
- Experience with graph databases (Neo4j or similar).