Top Data Engineer Jobs in Jerusalem

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

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.

The Data Engineer will architect and implement data models for business intelligence, lead complex data initiatives, mentor team members, and establish data quality and governance frameworks.

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.

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

As a Senior Backend Engineer, you will lead data infrastructure initiatives, design and implement data pipelines, write production-grade code, collaborate with teams, and mentor engineers.

The Senior Data Engineer will design, build, and maintain data infrastructure for analyzing large datasets, focusing on data management, ETL processes, and collaboration with stakeholders to align data projects with business objectives.

The Senior Data Engineer will design and implement Navina's data platform, transform and serve medical data, and collaborate with cross-functional teams.

As a Senior Software Engineer, you'll enhance ClickHouse's data ecosystem by developing Python connectors, integrating orchestration platforms, and collaborating on AI/ML strategies, significantly impacting how data is processed in enterprises.

As a Senior Software Engineer, you'll design and develop cloud-native Big Data systems, integrate AI/ML models, and collaborate across teams to enhance security solutions.

The Lead Data Engineer will design and build scalable data pipelines on Databricks, develop ETL/ELT pipelines with PySpark, and mentor engineering teams for data transformation and analytics.

Design and develop scalable data pipelines using PySpark and Databricks, focusing on data ingestion, transformation, validation, and performance optimization.

Design and implement core YTsaurus functionality in C++, build and evolve platform-level capabilities, improve APIs and UX for internal users, own production quality including incident response/on-call, and collaborate with stakeholders to prioritize and deliver scalable data platform features.

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.