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13d

Senior Data Engineer

Arrakis Security·Israel·en

Not specifiedFull-timeData EngineeringCybersecurity

Join a fast-moving cybersecurity team building production-scale data infrastructure. You will transform agent telemetry and third-party platform data into reliable, actionable security insights for AI-powered defense systems.

Responsibilities

Design and maintain high-throughput ETL and ELT pipelines using distributed compute frameworks such as Spark and Databricks
Build resilient connectors for third-party systems and manage API rate limits
Design scalable schemas across relational databases and high-performance storage layers such as Delta Lake
Optimize data processing for cost, speed, and low-latency telemetry updates
Connect raw data ingestion pipelines with backend services that power the user interface

Requirements

At least 5 years of data engineering experience focused on production-scale pipelines
Expertise with distributed processing frameworks such as Spark and modern lakehouse architectures
Strong Python and SQL skills, with a focus on clean, modular, tested data jobs
Experience with cloud environments such as AWS S3 and RDS
Ability to build scalable systems without unnecessary complexity

Benefits

High-impact work in cybersecurity and AI
Lean, fast-moving engineering environment
Opportunity to shape how users interact with AI agents

Relevance

More opportunities

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