Top Data Engineer Jobs in Israel

As a Senior Big Data Developer, you will develop and own features, optimize data pipelines, lead projects, and work with stakeholders.

Design and implement robust infrastructure for ML model deployment and management, optimize data workflows, and ensure model governance and performance monitoring.

The Senior Data Engineer will design and optimize data pipelines, implement ETLs, and contribute to real-time analytics using a diverse technology stack.

Design and implement high-performance data plane features, leading development and mentoring juniors, while collaborating with cross-functional teams.

The role involves defining and implementing best practices for the R&D platform, collaborating with stakeholders, and participating in all SDLC phases while enhancing services on cloud technologies.

The Senior Data Engineer will build and maintain data pipelines, enhance performance and scalability, and collaborate with teams to deliver user-facing products focused on big data and AI.

Optimize SQL queries and stored procedures, improve schema and indexing, develop ETL processes, troubleshoot database issues, and automate tasks in a collaborative environment.

The Data Engineer will design and optimize data pipeline flows, support data scientists, and assist in implementing solutions to enhance financial transaction security.

The Big Data Developer will architect, build, and maintain systems for processing large-scale data products and implement robust data solutions effectively.

Design and implement scalable backend services for Similarweb's core B2B platform. Lead projects to improve infrastructure and integrate AI tools.

The role involves designing complex systems for data extraction, processing large datasets using PySpark, and developing microservices in a cloud environment.

The Data Backend Engineer designs, builds, and maintains scalable backend services, improving infrastructure and supporting various applications. They lead technical projects, enhance developer workflows, and address complex production issues.

As a Senior Data Engineer, you'll lead the design and development of data pipelines and infrastructure for analytics, ensuring data quality and collaboration with stakeholders.

The Software Engineer will develop and maintain big data products, architecting solutions for large-scale data processing while ensuring minimal latency and storage efficiency.

As a Senior Solutions Engineer, you'll design scalable data pipelines and cloud infrastructures, integrating real-time solutions and collaborating with teams to solve complex data challenges.

VAST Data seeks a Senior Software Engineer to design, code, and debug software for their data platform, focusing on AI infrastructure.

Develop scalable solutions for data security on the Data Classification team; lead design, implementation, testing, and deployment while mentoring teammates.

As a Senior Engineer, you'll develop scalable solutions for data security using Rust, Python, and Golang, collaborating with teams and mentoring teammates.

Lead the design and development of scalable data classification solutions, focusing on performance while collaborating across teams and driving innovation within the engineering team.

Design and develop scalable data security solutions, collaborating with teams across the product lifecycle while mentoring teammates and driving innovation.

Design and maintain high-performance data pipelines, optimize data warehouses, integrate diverse data sources, and mentor junior engineers in a fast-paced environment.

The Senior Data Platform Engineer will design and build data pipelines and infrastructure, optimizing an AWS-based Data Lake, collaborating across teams, and leading data projects.

The Senior Data Infra Engineer will design and build data infrastructures, optimize AWS-based Data Lakes, and solve data integration challenges while leading projects from design to monitoring.

The Senior Data Engineer will design and build data pipelines on AWS, optimize ETL processes, and lead data projects while collaborating with engineers and data scientists. Requires proficiency in SQL, NoSQL, and programming languages like Python or Java, along with strong communication skills.