Top Data Engineer Jobs in Israel

Own and evolve end-to-end analytics foundations: design data models, pipelines, and BI layers; collaborate with Data Science and business stakeholders; ensure data quality, performance, and trusted metrics; use GenAI to speed analytics engineering; mentor and set standards across the company.

As a Software Data Engineer, you'll build production-grade data systems and pipelines, design data flows, ensure data quality, and collaborate with teams to enhance data-driven applications.

As a Data Engineer, you'll optimize and manage data pipelines using BigQuery, enhance real-time analytics, and oversee the deployment of AI/ML models, ensuring reliability and automation. Your role will involve direct ownership of the data infrastructure and collaboration with data teams to empower data-driven solutions.

The role involves designing and implementing data processing pipelines, optimizing performance, and collaborating with cross-functional teams to enhance security analytics.

The Senior Data Engineer will build and own the ClickHouse analytics platform, lead data migrations, optimize queries, and ensure ingest reliability while educating the team.

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

Design and build agentic systems and production infrastructure for an AI-driven financial intelligence platform. Integrate LLMs, manage prompts and tool-calling, develop RAG and retrieval systems, build MCP servers and observability, run LLM evaluation pipelines, optimize performance and cost, and mentor junior engineers.

As a Senior Software Engineer, you'll develop CrowdStrike's browser protection solutions, focusing on data protection and secure browsing experiences, collaborating on features from design to implementation.

Seeking a Software Engineer to develop data classification engines, analyze large datasets, automate monitoring tools, and enhance cybersecurity capabilities.

The Data Engineer will design and maintain data pipelines, improve data architecture, and support analytics and AI initiatives, collaborating closely with various teams.

The Data Engineer will design and develop scalable data solutions, manage data infrastructure, implement data governance, and collaborate with stakeholders to optimize data processes.

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

Design, develop, and maintain ETL/ELT pipelines, troubleshoot queries, implement data governance, and stay updated on data engineering technologies.

The Data Engineer will manage data architecture and pipelines, ensuring reliability and performance for product and AI decisions. Responsibilities include optimizing data processing, maintaining security, and integrating new data sources.

The role involves designing and developing data protection extensions for macOS, troubleshooting issues, and collaborating with teams across locations.

The Backend Infrastructure & Data Engineer will design, build, and maintain scalable data systems, manage cloud infrastructure, and develop efficient data pipelines for a fast-paced Web3 security startup.

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.

As a Principal Data Engineer, you'll design and build large-scale backend services and high-throughput data pipelines while providing technical leadership and mentoring for junior engineers.

As a Data Engineer, you will design and maintain data pipelines, develop APIs, integrate LLMs and ML models, and optimize performance for scalability and reliability.

As a Data Engineer, you will implement and maintain scalable data pipelines, develop internal tools, manage data platform components, and ensure data quality while collaborating with different teams.

The Senior Backend Data Engineer will design and maintain data pipelines and infrastructure, support AI/ML product development, and ensure data quality. Collaborating with cross-functional teams is essential to deliver scalable solutions and improve outcomes for clinicians and clients.

The Data Engineer will create and maintain data pipelines, implement high-scale systems, collaborate with engineers and data scientists, and leverage AI/ML technologies to fulfill customer requirements.

The Senior Data Engineer will design and implement high-performance data processing pipelines, architect data transformations, build real-time data streaming solutions, and optimize query performance for security insights within cloud security applications.

The Senior Data Engineer at BioCatch will direct data architecture, manage large-scale data projects, optimize cloud costs, and implement CI/CD for data workflows.

As a Backend/Data Engineer, you'll design scalable data solutions, optimize performance, and maintain data pipelines while ensuring data quality.