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.

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.

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.

Placeholder requisition for a Data Engineer to cover maternity leave. No responsibilities, skills, or requirements are specified; the posting is used to create requisitions from scratch.

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.

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.

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.

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).

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.

Work on Attribute's backend data platform: co-own roadmap, design and implement ETL and data pipelines, review code, maintain codebase health, and operate production SaaS cloud services while collaborating with product and frontend teams.

Lead architecture and schema design for a new data product, build full-stack production features, design and optimize data pipelines, integrate complex systems, manage cost and performance, mentor engineers, and collaborate with cross-functional teams to deliver scalable data solutions.

Design and improve ML-driven data curation pipelines for large autonomous-vehicle datasets: embedding extraction, VLM scene analysis, scoring, deduplication, sampling, GPU inference at scale, validation/diagnostics, dataset SDK and 3D geometry tooling, and collaborate with algorithm and infra teams to close data gaps.

Build and improve ML-driven data curation pipelines for autonomous-vehicle datasets: run GPU inference at scale, extract embeddings, score/deduplicate/sample data, ensure rare scenarios are represented, validate dataset quality, and contribute to dataset SDKs and 3D geometry tooling while collaborating with algorithm and infra teams.

Build and improve ML-driven data curation pipelines for large-scale autonomous-vehicle datasets: embedding extraction, scene detection, GPU inference orchestration, scoring, deduplication, sampling, dataset validation, SDK/tools, and collaboration with algorithm and infra teams to ensure balanced, high-quality training data.

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.

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.

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.