Top Data Engineer Jobs in Israel

The Data Engineer will design and implement high-scale data platforms, develop algorithmic solutions, and enhance Lusha’s data infrastructure by collaborating with cross-functional teams.

The BI and Data Engineer is responsible for designing data models, implementing data warehouses, developing SQL queries, and optimizing BI systems to enhance decision-making processes.

The Senior Algo Data Engineer will develop and maintain ML infrastructures, ensure platform reliability, optimize systems, and collaborate with multiple teams to improve performance in machine learning applications.

The Data Engineer will create data pipelines, tackle industry challenges, and collaborate across departments to facilitate data-informed decision-making.

The Staff Algo Data Engineer develops and maintains scalable ML infrastructures, ensures high availability, evaluates new technologies, and collaborates with cross-functional teams to optimize ML systems.

The Senior BI Data Engineer leads BI engineering initiatives, managing data infrastructure, automating workflows, and collaborating with diverse teams to optimize BI processes.

Develop and implement scalable data pipelines using technologies like Spark and Kafka, optimizing algorithms for high-quality machine learning models and insights within Lusha's data ecosystem.

The Data Backend Engineer will design and implement high-throughput data systems and pipelines, managing billions of records and ensuring data quality for sales teams.

As a Senior Backend Engineer, you will design, develop, and maintain high-performance data processing systems while ensuring scalability and efficiency in handling large volumes of user data.

Lead the creation and maintenance of data pipelines and infrastructure at Zedge, ensuring data integrity, scalability, and communication with stakeholders.

Develop and support data solutions, manage data pipelines, translate business needs into models, and ensure high-quality data infrastructure.

The Data Engineer will develop and optimize data pipelines, collaborate with teams to integrate data solutions, and ensure data quality in a cloud environment.

Lead backend engineering for cloud security products, leveraging scalable cloud-based systems and collaborating across teams to enhance architecture and performance.

As a Data Engineer, you will design and implement backend systems, develop high-scale applications for data analysis, and collaborate with teams for high-quality deliverables.

Responsible for directing data architecture, managing large-scale data projects, optimizing cloud costs, and implementing CI/CD for data workflows.

The Data Engineer will construct and maintain scalable data pipelines, develop machine learning models, and ensure data integrity within the Apps solution team.

Design and implement high-scale data systems, maintain data pipelines, and ensure optimal functioning of data-driven products and services.

As a Senior Data Engineer, you'll design and implement data infrastructure, build data pipelines, and collaborate with teams to support AI and business intelligence initiatives.

Design and maintain data pipelines, optimize production systems, and implement scalable architectures for real-time security insights in a startup environment.

As a Data Engineer, you'll architect data platforms, manage metadata systems, enable scalable pipelines, and collaborate across teams. You'll ensure data quality, work with ETL processes in AWS and GCP, and lead efforts in data modeling and privacy engineering.

Design and maintain scalable data pipelines, collaborate with teams for data accessibility, optimize data processes, and mentor team members while ensuring data governance.

The Data Engineer Tech Lead will mentor a team, architect data pipelines, improve data quality, and collaborate with stakeholders for data-driven business decisions.

As a Data Engineer, you will design and develop data solutions for clients, creating data pipelines, data lakes, and data warehouses while employing advanced technologies. This role requires collaboration on understanding project needs and defining data models and dashboard interfaces.

The Data Engineer will build scalable data solutions, develop data pipelines, ensure data quality, and enhance analytical capabilities through collaboration with teams.

As a Senior Data Engineer, you will develop Data Lakehouse processes, collaborate with teams to identify data requirements, and establish best practices.