Top Data Engineer Jobs in Israel

As a BI and Data Engineer, you will design scalable data models, develop ETL/ELT processes, and build data pipelines while collaborating with stakeholders to support BI product development.

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.

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

Design and implement high-performance data processing pipelines, build real-time data streaming solutions, and collaborate on security features.

The role involves processing customer data to identify security risks, develop ETL jobs, and manage cloud data operations effectively.

Join CrowdStrike as a Sr. Data Engineer, designing data pipelines, implementing data processing using Apache Spark and Kafka, and collaborating with cross-functional teams on security functionalities.

The role involves designing, implementing, and maintaining data processing pipelines, optimizing query performance, and collaborating with cross-functional teams on security features.

The Senior Data Engineer at BioCatch will direct data architecture, manage large-scale data projects, optimize cloud costs, and implement CI/CD for data workflows.

As a Backend/Data Engineer, you'll design scalable data solutions, optimize performance, and maintain data pipelines while ensuring data quality.

The Data Developer will build and maintain ETL processes, manage data warehouses, optimize database entities, and ensure data accuracy while collaborating with cross-functional teams.

As a Data Engineer, you will build detection logic and AI workflows on internet-scale data, ensuring accuracy and thorough analysis for improved detection capabilities.

The Senior Backend & Data Engineer will design, build, and maintain scalable data platforms and backend services on AWS, ensuring performance, security, and compliance while collaborating with multiple teams for data-driven solutions.

The Data Engineer will design and develop data solutions for clients, build data pipelines, lakes, DWHs, and implement AI/ML models.

The Data Engineer will design and maintain data pipeline architectures, develop ETL processes, implement data controls, and collaborate with data scientists to deliver solutions while ensuring data quality and compliance.

Lead the migration of enterprise data to GCP, design ETL pipelines, develop data models in BigQuery, and collaborate with analysts and engineers.

The Data Engineer will design and maintain data pipelines, develop data platforms, ensure data quality, and troubleshoot issues.

As a Senior Data Engineer, you will design and maintain scalable data pipelines, manage cloud infrastructure, and enhance data storage solutions, ensuring data quality and accessibility for analytics and business intelligence.

As a Data Engineer II, you will develop and operationalize data pipelines, manage data ingestion and transformation, and ensure data quality for analytics. You will also collaborate with DevSecOps for CI/CD and enhance data solutions.

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

The Data Engineer will design and optimize data pipelines, ensure data integrity, enhance performance, and integrate AI/ML capabilities for web user journey tracking and analytics at scale.

As a BI Data Engineer, you will design and maintain data pipelines and manage data ingestion workflows, ensuring clean datasets and building business-ready data products while exploring AI capabilities.

The BI Data Engineer role involves designing and maintaining data pipelines, managing cloud data warehouses, and ensuring data quality across R&D analytics. Responsibilities include data ingestion, transformation, and reporting, along with exploring AI opportunities in data engineering.

The Data Engineer will design and maintain data pipelines, develop analytics solutions, and support internal stakeholders' requests while collaborating with various teams.

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.

The Senior Data Engineer will design and develop scalable data infrastructure, maintain data models, and enhance data workflows while collaborating with cross-functional teams.