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Data Engineer - Web Attribution

AppsFlyerHerzliyaNew
On-site Full-time

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Experience Level

Mid to Senior

Qualifications

Experience: 3-5 years in Data / Big Data Engineering with practical experience in large-scale production environments. Technical Skills: Proficiency in designing and optimizing data pipelines that ensure the freshness and accuracy of billions of web events, including sessions, in-app events, and conversions. Data Integrity: Strong understanding of complex attribution logic, including deduplication and cross-platform user stitching across extensive datasets. Performance Engineering: Expertise in optimizing distributed processes to meet client SLAs, ensuring maximum throughput and minimal latency. Collaboration: Ability to work closely with Product, R&D, and client-facing teams to transform raw web signals into production-ready, queryable data products. AI/ML Integration: Experience in exploring and implementing AI/ML capabilities in data workflows.

About the job

The Web Attribution group at AppsFlyer designs and operates the data infrastructure that tracks web user journeys from the first click through to conversion. Managing over 150 billion events, this team expands AppsFlyer’s analytics beyond mobile, providing advertisers and marketers with real-time, accurate insights.

Role overview

This Data Engineer position centers on building and maintaining large-scale data pipelines. The work supports client dashboards and APIs, enabling customers to measure and optimize their web performance. The team’s efforts directly impact product features that clients use daily.

What you will do

  • Manage the entire data pipeline, from ingesting raw web events to distributed data processing and delivery.
  • Develop and support the data layer that powers dashboards and APIs for clients.
  • Shape product features that help customers track and improve web results.
  • Integrate AI and large language model (LLM) features into data workflows, including intelligent validation, anomaly detection, and AI-driven analytics interfaces.

Requirements

  • Background in building and maintaining large-scale data pipelines.
  • Experience working across the full data lifecycle, from ingestion to serving.
  • Interest in applying AI and machine learning to data processing and analytics.
  • Strong sense of ownership and motivation to shape product features, not just internal systems.

Location

This position is based in Herzliya.

About AppsFlyer

AppsFlyer is a pioneering company in mobile attribution and marketing analytics, dedicated to empowering marketers with actionable insights. With a commitment to innovation and excellence, AppsFlyer processes billions of data events to deliver unparalleled insights into user engagement and marketing effectiveness.

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