Top Data Engineer Jobs in Israel

Develop cloud security solutions focused on asset management leveraging the Cortex platform. Collaborate with Product Management and R&D to define requirements and conduct technical research.

As a Senior Big Data Engineer, you will develop and improve ETLs and data infrastructure, enhance existing data pipelines, solve scalability challenges, and collaborate with Product and R&D teams to address customer issues while continuously learning about new technologies.

The Sr. Backend Engineer will design and implement scalable backend services and APIs, lead data pipeline development, analyze system issues, and ensure high-quality maintenance of features while collaborating with product management teams.

As a Senior Data & BI Engineer, you will develop and maintain scalable data pipelines, optimize SQL queries, and integrate cloud services like BigQuery. You will mentor junior staff and implement data governance standards while collaborating with stakeholders to derive strategic insights.

As a Staff Big Data Engineer at ZipRecruiter, you'll design and build infrastructure for data science and engineering, focusing on machine learning products amidst high-volume production systems. You'll collaborate with skilled teams, own features from idea to deployment, and work with technologies like Spark and DynamoDB.

As a Senior Data Engineer, you will create and maintain data solutions, develop advanced data analytics, manage ELT/streaming processes, and collaborate with stakeholders on data architecture strategies while ensuring adherence to coding best practices.

The Senior Software Engineer at JFrog ML will build and drive data solutions, focusing on large-scale batch and streaming data pipelines, and will play a key role in shaping the team's engineering culture and methodologies. Responsibilities include designing complex data workflows and maintaining coding standards.

As a Senior Big Data Developer at Nexxen, you will lead the development and ownership of end-to-end data solutions. Your responsibilities include optimizing data pipelines, implementing Big Data solutions, mentoring other developers, and collaborating with various stakeholders.

As a Data Engineering Lead at JFrog, you will architect and develop scalable data pipelines, ensuring high data quality and security. You will collaborate across departments, define best practices, and create documentation for data processes to enable data-driven decision-making and support the platform's growth.

As a Senior Software Engineer at Veeva Systems, you will lead a team in designing and building cloud infrastructure for managing large healthcare datasets. You will collaborate with Product Managers, develop back-end solutions in Java and Spark, architect scalable data products, and address production issues, all while ensuring data privacy and system optimization.

As a Principal Software Engineer, you will design and implement big data platforms and ML data pipelines, focusing on Apache Spark applications in AWS. You’ll collaborate with a team of engineers and data scientists, improving development practices while processing large volumes of medical records securely.

As a Senior Data Engineer, you will design and maintain machine learning and data pipelines, ensure data integrity and performance, and collaborate with teams to develop scalable data solutions. This role involves full data ownership from extraction to testing and addresses complex data challenges in the transportation sector.

As a Frontend Developer at AppsFlyer, you will design and implement modern user interfaces for data products, collaborating with design and engineering teams. You will work on product development from ideation to production and engage in continuous learning to enhance product quality. Your role will contribute to creating an exceptional user experience in a fast-paced environment.

As a Data Engineering Team Lead at BigID, you will lead a team to design and implement big data architecture, develop data processing pipelines using Kafka, optimize Elastic technologies, and collaborate across teams to meet business objectives.