Top Data Engineer Jobs in Jerusalem

Build and maintain complex ETL pipelines and backend BI/data solutions using SSIS, Airflow, dbt and Snowflake. Work with high-scale databases, design implementations, and collaborate with stakeholders across the company.

Build and maintain Trigo's analytics data stack: design analytics-ready data models, own the BI semantic layer, ensure data quality and observability, collaborate with stakeholders to translate business questions into scalable data solutions, and support ad-hoc analyses.

Design, build, and maintain scalable ETL/data pipelines and storage for large datasets. Collaborate with product, data science, and analysts to ensure data quality, integrity, and low-latency performance. Implement monitoring, validation, and cost-efficient solutions, recommend new tools, and leverage AI assistants to improve productivity and pipeline development.

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.

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.

The Data Engineer will design and maintain scalable data pipelines, optimize data infrastructure, monitor data quality, and enable analytics capabilities, ensuring alignment with business goals.

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

The role involves developing and maintaining data streaming processes, enhancing real-time data capabilities, and supporting production systems in a collaborative team environment.

The Staff Data Engineer will design and maintain data models, pipelines, and ETLs, ensuring data correctness and collaboration with cross-functional teams to meet business needs.

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.

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.

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.

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