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.

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.

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

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

Seeking a Software Engineer to develop data classification engines, analyze large datasets, automate monitoring tools, and enhance cybersecurity capabilities.

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.

Develop and operationalize data pipelines, design standardized data management procedures, and ensure data quality for business intelligence analytics. Collaborate with DevSecOps and improve data reliability and efficiency.

The Senior Data Engineer will design and scale data infrastructure, manage the service lifecycle, and ensure data quality while collaborating with multiple teams.

The Data Engineer will tackle complex problems, collaborate with various teams, and enhance the performance and scalability of AppsFlyer's products and environments.

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

Design and maintain data pipelines using Apache Spark, lead projects, optimize data infrastructure, and mentor engineers for a cloud security platform.

The Data Engineer will manage data pipelines, design scalable solutions, leverage AI tools, and collaborate with teams to meet business needs.

Design, build, and maintain data management systems and ETL pipelines, ensuring data quality and collaborating with teams for optimal solutions.

The Data Engineer will design, develop, and maintain the data warehouse, implement ETL processes, and collaborate closely with various stakeholders to support data needs.

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.

Seeking a Data Engineer with over 4 years of experience to build and optimize data platforms, work on data pipelines, and collaborate across teams to enhance data solutions and architecture.

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

The Data Engineer will create and maintain data pipelines, implement high-scale systems, collaborate with engineers and data scientists, and leverage AI/ML technologies to fulfill customer requirements.

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.

Design and operate Databricks pipelines in Python for ingesting and normalizing unstructured data, build AI systems, enforce data quality, and optimize PySpark jobs.

As a Backend Engineer at Avalor, you will lead the development of scalable backend services, monitor their performance, and collaborate with cross-functional teams.

Design and implement scalable data pipelines and client-facing features, optimizing performance and ensuring data integrity across massive datasets.