Top Data Engineer Jobs in Israel

Design and own DBT project and data warehouse; build and monitor ETL/ELT pipelines and connectors; lead data modeling and quality efforts; collaborate across teams, detect and resolve data issues, and define data best practices and governance.

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.

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.

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

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

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

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.

Lead end-to-end data and automation solutions for Clinical Research: intake, business case development, design, build, validation, deployment and lifecycle management of ETL pipelines, dashboards, workflow automation and AI-assisted processes. Ensure compliance (ICH GCP), measure impact via KPIs, manage stakeholders and change, and scale reusable solutions across countries and region.

Design, build, and maintain scalable ETL pipelines and data solutions for large-scale datasets. Optimize SQL Server performance, write complex SQL, troubleshoot data workflows, collaborate with BI/Analytics/Product teams, and deliver end-to-end data initiatives while monitoring and improving database and pipeline performance.

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.

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.

Design, build, and maintain scalable data pipelines, ETL processes, and data infrastructure. Optimize storage and retrieval for structured and unstructured data, integrate data solutions with products, apply DevOps practices (CI/CD, IaC, observability), and use AWS and ElasticSearch. Maintain SQL and NoSQL databases and leverage containerization (Docker, Kubernetes).

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.

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.

The Data Engineer will design and develop data solutions for clients, build data pipelines, lakes, DWHs, and implement AI/ML models.

The Data Engineer will design and maintain data pipelines, develop data platforms, ensure data quality, and troubleshoot issues.

Design, build, and operate production Snowflake data pipelines and models (ingestion, CDC, transformation, validation). Create analytics-ready, governed datasets and semantic models for BI and enterprise AI, enforce security/governance and FinOps, and partner with stakeholders on certified metrics, lineage, and delivery.

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.

As a Senior Data Engineer, you will design and maintain scalable data pipelines, manage cloud infrastructure, and enhance data storage solutions, ensuring data quality and accessibility for analytics and business intelligence.

The Data Engineer will design and optimize data pipelines, ensure data integrity, enhance performance, and integrate AI/ML capabilities for web user journey tracking and analytics at scale.

As an AI Data Engineer, you will design and implement data pipelines for the Large Market Model (LMM), focusing on feature engineering, system reliability, and driving innovation through advanced AI technologies.

The AI Data Engineer will architect and engineer data pipelines for the Large Market Model (LMM), ensuring system reliability and exploring innovative features in AI-driven solutions.

As a Software & Data Engineer at Via, you will design and build scalable data pipelines, manage data models, and ensure data quality to improve public transportation systems.

The Data Engineer will build and optimize data pipelines, develop reliable data models, integrate new data sources, and ensure data quality while collaborating with analysts and data scientists.

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.