Top Data Engineer Jobs in Israel

As a Senior Algo Data Engineer, you will enhance and maintain machine-learning infrastructures, manage ML pipelines, and collaborate with multi-disciplinary teams.

As a Data Engineer, you'll optimize database performance, design data flows, and develop automation tools while working with large-scale data environments.

You will build and scale data infrastructure, manage data lakes, and collaborate on data processing for products.

As a Staff Algo Data Engineer, you'll develop and maintain scalable ML infrastructures, own the machine learning platform's lifecycle, and collaborate across teams to enhance performance.

As a Data Engineer, you'll design and maintain the data infrastructure, build ETL/ELT pipelines, and collaborate with teams to optimize data for revenue operations.

Design and develop data protection system extensions for macOS, own features from design to delivery, and troubleshoot customer issues.

As a Software Engineer at CrowdStrike, you will build endpoint security solutions across platforms, lead projects, and manage feature development to enhance data security for customers.

As a Data Integration Engineer, you'll manage merchant data configurations, tailor onboarding solutions, ensure data accuracy, and collaborate with various teams to optimize data processes and resolve issues.

Lead the design and maintenance of scalable data infrastructure, develop data pipelines, and provide mentorship to junior engineers, focusing on capital markets data.

The role involves building and operating a multi-tenant analytics platform on AWS with a focus on streaming and batch data pipelines, managing workflows, and ensuring reliability and performance in production systems.

The Data Engineer will build and optimize data pipelines, develop reliable data models, integrate new data sources, and ensure data quality while collaborating with analysts and data scientists.

Lead and mentor a data engineering team, define technical vision, design data pipelines, and ensure data accessibility for business insights.

The role involves designing complex systems for data extraction, processing large datasets using PySpark, and developing microservices in a cloud environment.

The Senior Data Engineer will design and deliver data pipelines, mentor engineers, and maintain the data platform's performance and reliability.

As a Senior Software Engineer, you'll develop CrowdStrike's browser protection solutions, focusing on data protection and secure browsing experiences, collaborating on features from design to implementation.

As a Principal Data Engineer, you will design and build backend services and data pipelines, lead technical initiatives, and mentor junior engineers, ensuring system reliability and performance.

The role involves designing scalable cloud systems for data security, leading projects, mentoring developers, and improving system architecture.

As a Data Engineer, you'll build and scale data infrastructure, manage data pipelines, maintain data lakes, design schemas, and collaborate globally with engineers.

Design and manage data ingestion pipelines, develop high-scale ingestion services, ensure system availability and data quality, and lead team decisions at Similarweb.

As a Data Engineer, you will design and optimize ETL processes and data pipelines for time-series data, ensuring data quality and efficiency while collaborating with Data Scientists on production systems.

The Data & AI Engineer will build and optimize AI agents, develop backend APIs, maintain data pipelines, and mentor team members.

Design and build Travelier's central data platform infrastructure, develop data pipelines and ETL processes, and support MLOps for ML and AI models.

As a Senior Data Engineer, you will design and develop scalable data systems using AWS and Apache Spark, collaborate across teams, and implement data best practices.

Design and implement data processing architectures for cloud security analysis, optimize PySpark workflows, and develop solutions for analyzing security datasets.

Design and implement a scalable BI data infrastructure. Build and maintain ETL/ELT pipelines for analytics. Collaborate cross-functionally to translate business needs into data solutions.