Top Data Engineer Jobs in Israel

The Software Engineer will handle data collection for AI, extending the ingestion cloud infrastructure on GCP, integrating data processing workflows, and collaborating on dataset roadmaps.

Design, build, and maintain scalable data warehouse infrastructure and pipelines. Enable analytics and product teams via data modeling, BI dashboards, data governance, and quality monitoring.

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 Data Science Engineer will develop data collection strategies, create and deploy data analysis scripts, and ensure data quality while leveraging AI for predictive insights.

Develop backend services using Rust and other technologies for a cloud-native platform that processes large volumes of data daily.

Design, build, and scale batch and streaming data pipelines, warehouses, and cloud data platforms. Collaborate with researchers and ML teams to deliver reliable, optimized datasets. Lead migrations/backfills, implement event-driven architectures, operate distributed processing engines, and deploy data infrastructure in Kubernetes for high availability and performance.

Lead the evolution of Stampli's data platform, shaping data transformation, modeling, and AI-enabled analytics. Responsibilities include building scalable systems, ensuring data quality, and developing transformation workflows.

The Senior Data Engineer will design and maintain data infrastructure and pipelines, ensuring high-quality data for analytics and AI/ML workflows.

Design and develop robust data pipelines and integrations for financial applications, ensuring high availability and data governance.

The role involves collaborating with teams to develop AI solutions, improve data quality, and enhance engineering productivity through automated tools and workflows.

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.

Lead the evolution of a next-generation data platform, designing ecosystems and implementing scalable solutions while mentoring other engineers and collaborating with product teams.

The Senior Data & AI Engineer will design and scale data pipelines, backend services, and LLM-powered systems while enhancing cybersecurity through AI-driven insights.

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.

As a Big Data Engineer, you will design and implement high-scale systems for data retrieval and analysis, working alongside data engineers, data scientists, and analysts. Responsibilities include improving infrastructure, experimenting with technologies, and monitoring data pipelines.

The Senior Java Backend Developer will design and develop data systems for processing security events, ensuring high availability and scalability in a cloud-native environment.

The Senior Data Engineer will build and optimize database architectures, develop backend services, and improve data system performance while troubleshooting issues.

The Senior Backend Engineer will design and maintain microservices and data pipelines for high-volume data processing, ensuring reliability and performance across the company's products.

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

Lead the modernization of a cloud-based data platform, focus on data quality and access governance, and collaborate with teams on architecture and implementation.

The Senior Data Engineer will lead the modernization of a cloud-based data platform, ensuring data quality and secure access while collaborating with teams to optimize operations and architecture.

The Senior Data Engineer will develop data infrastructure for Grip's Data Lakehouse, ensuring data integrity and collaborating on new products and features.

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

The role involves building scalable data pipelines, designing infrastructures using cutting-edge technologies, and collaborating with teams to solve customer data problems. Responsibilities include deploying hybrid environments, tuning storage backends, and creating documentation to support best practices.

The Senior Software Engineer - Data Path will design, code, integrate, and debug software systems for VAST Data, focusing on AI infrastructure and data management solutions.