Top Data Engineer Jobs in Israel

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 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 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 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.

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

The Data Engineer will design and maintain data pipeline architectures, develop ETL processes, implement data controls, and collaborate with data scientists to deliver solutions while ensuring data quality and compliance.

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

Design and own the architecture of a scalable data platform; build and maintain batch, streaming, and near-real-time data pipelines; implement data models, quality, lineage, and observability; optimize compute/storage; evaluate technologies; lead architecture and mentor engineers across teams.

Design and implement the decision-making logic of a Price Optimizer: translate pricing rules into mathematical models and production-ready Python code, refine simulation and optimization algorithms, write tested maintainable code, validate model behavior with data, and collaborate with Solution Architects and Data Engineers to integrate models into Dagster pipelines.

Design and implement pricing decision logic and optimization models in production-quality Python. Translate business rules into mathematical constraints, validate model behavior with data, collaborate with Solution Architects and Data Engineers to integrate models into Dagster pipelines.

The Software Engineer will design data ingestion pipelines, manage cloud infrastructure, and collaborate on dataset roadmaps for AI products. Responsibilities include sourcing audio data and enhancing data processing workflows.

Build and maintain distributed data pipelines (SQS, Airflow, Kubernetes), integrate ML outputs into ETL workflows, contribute to shared Python libraries, debug multi-service pipelines, improve observability, and manage ETL/data infrastructure and database operations for large-scale datasets.

The Senior Data Engineer will manage big data pipelines, ensuring robust architecture and data integrity, while leading complex projects in a fast-paced environment.

The Data Analyst Engineer develops tools for monitoring product yields, maps failures, and leads SPC and product implementation processes, requiring strong data analysis skills.

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.

Design and build advanced data infrastructure and pipelines, collaborate with teams, support data product offerings, and mentor others in a data engineering role.

Design and maintain scalable data pipelines, implement Lakehouse architecture, develop ETL processes, and ensure data integrity and quality.

The Senior Data Engineer will design and build backend and data infrastructure for AI products, manage complex data pipelines, and collaborate with engineers and scientists to enhance data accessibility for AI applications.

As a Software Engineer for Data Infrastructure & Acquisition, you will manage data collection processes, optimize data ingestion pipelines, and collaborate with AI scientists to enhance data quality for model training.