Top Data Engineer Jobs in Israel

Design, build, and maintain end-to-end data pipelines and models. Integrate multiple data sources, improve data quality and reliability, automate workflows, and partner with Product, Finance, Operations, and R&D to deliver trusted datasets and analytics-ready data assets.

Design, build, and maintain scalable ETL/ELT pipelines and production data products. Implement data architectures, ensure data quality and monitoring, optimize pipeline performance, troubleshoot issues, and collaborate with product and analytics teams. Use cloud data platforms, event-driven architectures (Kafka), and AI tools (Claude) to accelerate development.

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.

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.

The Senior Data Engineer will design, implement, and maintain Guardio's data platform, focusing on architecture, models, and pipelines to streamline operations and enhance decision-making across the organization.

Own and build the Snowflake semantic layer and conversational Cortex Agents; extend and optimize dbt/Airflow/Airbyte pipelines; lead analytics guild standards, ensure data quality, lineage, performance, cost control, and expose data/agents via Streamlit, BI tools, and internal MCP workflows.

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.

Design, build, and maintain end-to-end ETL/ELT data pipelines and scalable data models for marketing analytics. Partner with Marketing, UA, and Monetization to enable ROAS, cohort, LTV analyses and ensure data integrity and freshness across BI reporting.

Design, build, and scale a BI data platform and ETL/ELT pipelines (batch and real-time). Own data ingestion, transformation, modeling, storage, observability, lineage, and governance. Integrate tools like Airflow, Databricks, streaming platforms, and BI tools. Collaborate with engineers, analysts, and product managers to enable analytics, reporting, and operational product integrations.

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.

The Full-Cycle Data Engineer will design and deploy data pipelines, build dashboards, ensure data quality, and translate product-related queries into metrics and insights, collaborating across teams to enhance data analytics.

Build and maintain end-to-end ETL pipelines and billing data infrastructure using Big Data tools. Improve pipeline scalability and performance, analyze and extend business logic, collaborate across teams, and mentor peers while evaluating and adopting new technologies.

Seeking a Python Data Engineer to build and manage ETLs, process large datasets with Spark/Hadoop, maintain Airflow pipelines, write SQL, and collaborate closely with the team to deliver data solutions for cyber challenges.

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

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.

Lead Interconnect Cluster Performance efforts using big data and failure analysis to ensure high-quality product deliveries. Drive cross-functional collaborations (Process, Mechanical, Hardware, Thermal), lead task forces, design and improve test plans, manage field and lab failure analysis, and partner with Customer Support, Marketing, Engineering, Quality, and Reliability to improve product performance and customer satisfaction.

Lead design and evolution of an enterprise data platform: architect scalable batch, streaming, and event-driven pipelines; implement data modelling, quality, observability, lineage, and governance; drive DataOps, mentor engineers, influence technical roadmap, and collaborate with product, analytics, and business stakeholders.

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.

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

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.

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

Build and own data pipelines and infrastructure that convert simulation and real-robot recordings into versioned, training-ready datasets for humanoid robotics, handling extraction, transformation, storage formats, curation, and traceability.

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.

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.