Data Engineer - Web Attribution

Were looking for a Data Engineer who wants to own the full pipeline: from raw event ingestion through distributed processing and into the serving layer that powers our clients dashboards and APIs. This isnt internal tooling - youll be building the actual product surface that advertisers and marketers rely on to understand whats working on the web.
As AI reshapes how data is processed, queried, and served, youll also have the opportunity to integrate AI and LLM-based capabilities into our data workflows - from intelligent data validation and anomaly detection to AI-powered analytics interfaces that make our platform smarter for clients.
What youll do:
Build & Own End-to-End Pipelines: Design, build, and optimize data pipelines that process billions of web events (sessions, in-app events, conversions) with strict freshness and accuracy SLAs. Youll work across the entire attribution data stack - from ingestion and distributed processing through to the serving layer.
Ensure Data Integrity

דרישות:

3-5 years in Data / Big Data Engineering, with hands-on production experience at scale.
Strong experience with distributed processing frameworks (e.g., Spark) - you understand execution plans, memory management, and how to debug performance bottlenecks.
Solid SQL skills and experience with analytical data warehouses as both a processing and serving layer.
Experience with workflow orchestration and cloud compute environments at production scale.
Strong programming fundamentals - clean, testable, production-grade code. Scala preferred.
A natural instinct for data quality: you think about edge cases, dedup logic, and what happens when this field is null before anyone asks.
Curiosity about AI/ML and how it can enhance data engineering workflows - from automated validation to intelligent data products.
B.Sc. in Computer Science or equivalent. המשרה מיועדת לנשים ולגברים כאחד.