Top Data Engineer Jobs in Israel

Assist in designing and developing core services and applications for data capabilities, focusing on high-quality, scalable software and contributing to architecture.

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

Lead the design, development, and maintenance of a data warehouse, implementing ETL processes and collaborating with various stakeholders to support data needs.

As a Senior Software Engineer, you'll develop high-performance data integration tools within ClickHouse's JVM environment, enhancing data engineering capabilities and optimizing integrations for real-time analytics and workflows.

The Senior Data Engineer will design scalable data solutions for fraud prevention, manage data pipelines, and recommend technologies, with potential for leadership roles.

As a Senior Data Engineer, you'll lead the design and development of data pipelines and infrastructure for analytics, ensuring data quality and collaboration with stakeholders.

The Big Data Developer will design, develop, and maintain high scale data solutions for Nexxen's Discovery platform, working collaboratively with various teams.

As a Senior Solutions Engineer, you'll design scalable data pipelines and cloud infrastructures, integrating real-time solutions and collaborating with teams to solve complex data challenges.

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 develop scalable data security solutions, collaborating with teams across the product lifecycle while mentoring teammates and driving innovation.

Develop scalable solutions for data security on the Data Classification team; lead design, implementation, testing, and deployment while mentoring teammates.

Lead the design and development of scalable data classification solutions, focusing on performance while collaborating across teams and driving innovation within the engineering team.

As a Senior Engineer, you'll develop scalable solutions for data security using Rust, Python, and Golang, collaborating with teams and mentoring teammates.

Design and maintain high-performance data pipelines, optimize data warehouses, integrate diverse data sources, and mentor junior engineers in a fast-paced environment.

The Senior Software Engineer will design and implement data infrastructure, manage AWS services, enforce data governance, and collaborate with teams to enhance the data ecosystem.

As a Senior Data & BI Engineer, you will design and optimize data pipelines, develop SQL queries, analyze data, and mentor junior staff.

The role involves enhancing Finout's core platform, improving system efficiency, optimizing data pipelines, and integrating SAAS platforms with a strong focus on cloud environments and big data technologies.

As a Senior Data & BI Engineer, manage data architecture and analytics strategies, leading the development of scalable data pipelines and ensuring data accuracy and security.

Design and build data infrastructure, optimize AWS-based Data Lake, lead data projects, and solve data integration challenges.

The Senior Data Infra Engineer will design and build data pipelines, optimize AWS data lakes, lead data projects, and address integration challenges with a focus on both structured and unstructured data.

As a Senior Data Engineer, you will design and maintain scalable data pipelines, partner with teams for data solutions, and ensure data quality and performance.

The Senior Data Engineer will build and scale a data platform, optimizing data pipelines and collaborating with various teams for reliable data solutions.

As a Senior Data Engineer, you will design and maintain scalable data infrastructure, build batch processing workflows, and enable AI/ML solutions in collaboration with cross-functional teams.

Design and operate large-scale data products, manage pipelines and services, ensure data quality, and collaborate with cross-functional teams.

This role involves designing and optimizing data infrastructure for AI/ML workloads, leading DataOps initiatives, and enhancing data teams' productivity through scalable solutions and collaboration across engineering disciplines.