Top Data Engineer Jobs in Israel

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.

Design and implement core components of classification and policy stack, optimize data workloads, and partner on cross-functional initiatives for data governance.

Design and build core data platform systems from ingestion through processing to serving. Own pipeline architecture, data modeling, storage formats, and backend services interacting with operational and analytical stores. Improve reliability, performance, and scalability; collaborate with product and R&D; participate in design discussions and mentor other 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 scale data infrastructure, build robust pipelines, and collaborate with teams to improve data quality and performance.

Build and operate a Spark-on-Kubernetes lakehouse platform (Iceberg + AWS Glue), develop frameworks and CI/CD for data pipelines, run Airflow orchestration, design batch/streaming and Kafka-based flows, manage cost/performance trade-offs, and support platform reliability and developer enablement.

Design, build, deploy, and maintain scalable data pipelines, infrastructure, and workflows for manufacturing data. Implement data models, quality checks, monitoring, and optimize real-time and batch processing. Support global production servers, mentor junior engineers, and introduce new tools and methodologies to enable analytics and ML workloads.

As a Senior Big Data Engineer, you will design and maintain data infrastructure, develop data pipelines, ensure data quality, optimize performance, and mentor junior engineers.

Build and maintain backend systems and internal data foundations: handle customer signup, subscriptions, billing integrations, microservices decomposition, event-driven workflows, async processing, tests, monitoring, and cross-team collaboration using a modern .NET stack.

Design, build, and operate a scalable cloud-based data platform and pipelines (batch and real-time). Implement CI/CD, infrastructure-as-code, monitoring, security, and reliability for AWS-based data workloads while collaborating with data teams and stakeholders.

Design, build, and maintain end-to-end scalable batch and real-time data pipelines and platforms. Integrate diverse data sources, implement data models and quality processes, optimize performance to meet SLAs, and collaborate with analysts and stakeholders to deliver reliable data solutions. Own data flows from ingestion to consumption.

Own, operate, and scale real-time data platforms (Kafka, Elasticsearch). Build automation, IaC, monitoring, internal tools and self-service APIs. Troubleshoot production incidents, run RCA, perform capacity planning, and collaborate with engineers and analysts to ensure reliable data delivery.

Seeking a Senior Software Engineer for data path development. Responsibilities include design, coding, integration, and debugging of C/C++ software. Contributions aid AI infrastructure.

As a Software Engineer in the Data Platform Group, you'll develop cloud-based microservices data pipelines, and design massive data infrastructures impacting customers and internal teams.