Data Engineer

highly profitable, private technology company specializing in AI-driven Performance Marketing solutions. Operating as a successful Bootstrap venture since its inception, the company has built a robust, independent ecosystem that delivers high-fidelity lead generation and user-acquisition tools to a global client base.

By leveraging advanced Machine Learning and AI-driven automation, the organization helps enterprises scale their business with surgical precision.

Located in Central Israel (conveniently accessible via major transit lines), the company fosters a high-impact, professional culture with a focused work model.

Responsibilities-

• High-Performance Infrastructure: Designing and deploying reliable, low-latency data systems to support high-throughput environments.
• Real-Time Pipelines: Engineering complex, real-time data pipelines and tracking infrastructures to capture and process massive data streams in real-time.
• ML Foundations: Establishing Feature Store foundations to ensure online/offline consistency and high availability for ML production.
• Schema & Flow Design: Architecting scalable data schemas, ingestion flows, and comprehensive data quality frameworks.
• ML Collaboration: Partnering closely with Machine Learning teams to enable seamless feature serving and model inference at scale.

Requirements-

• Engineering Excellence: Strong software engineering fundamentals, including clean code, testing, and robust system design – Mandatory.
• Real-Time Expertise: Proven experience in building and maintaining real-time, low-latency data services – Mandatory.
• Production at Scale: Significant experience operating in high-throughput, distributed production environments – Mandatory.
• Modern Data Stack: Expertise in distributed processing and modern data warehouses (e.g., Kafka/Kinesis, Spark/Flink, Snowflake/BigQuery/Redshift) – Mandatory.
• Programming & ETL: Advanced proficiency in Python and deep experience in architecting complex ETL/ELT processes – Mandatory.