Top Data Engineer Jobs in Israel

As a Senior Algo Data Engineer, you will enhance and maintain machine-learning infrastructures, manage ML pipelines, and collaborate with multi-disciplinary teams.

As a Staff Algo Data Engineer, you'll develop and maintain scalable ML infrastructures, own the machine learning platform's lifecycle, and collaborate across teams to enhance performance.

The BI and Data Engineer will develop BI products, utilizing expertise in data engineering methodologies, SQL, Snowflake, and Tableau to deliver comprehensive data solutions.

Join CrowdStrike as a Sr. Data Engineer, designing data pipelines, implementing data processing using Apache Spark and Kafka, and collaborating with cross-functional teams on security functionalities.

The Senior Data Engineer will design and deliver data pipelines, mentor engineers, and maintain the data platform's performance and reliability.

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

The role involves developing complex data pipelines, working with large-scale data processing, and optimizing security insights from identity-related data.

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.

We are looking for a Data Engineer to design and develop data solutions, pipelines, DWHs, and dashboards for clients using advanced data tools.

Design and operate Databricks pipelines in Python for ingesting and normalizing unstructured data, build AI systems, enforce data quality, and optimize PySpark jobs.

Design, build, and maintain scalable data platforms and pipelines using Elasticsearch, Databricks, and Kafka. Collaborate with teams to gather requirements, implement ETL processes, ensure data quality, optimize code for large volumes, and troubleshoot pipeline issues.

Lead the design and maintenance of scalable data infrastructure, develop data pipelines, and provide mentorship to junior engineers, focusing on capital markets data.

Design and implement scalable data pipelines and client-facing features, optimizing performance and ensuring data integrity across massive datasets.

Design and implement high-performance data processing pipelines, build real-time data streaming solutions, and collaborate on security features.

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 Data Engineer at Teads, you'll build and maintain data infrastructure, creating scalable data models, pipelines, and dashboards while collaborating across departments to support financial operations.

The Data Engineer will design, build and optimize data ETL pipelines, collaborate with teams, and contribute to product improvements in a fast-paced environment.

Design and manage data ingestion pipelines, develop high-scale ingestion services, ensure system availability and data quality, and lead team decisions at Similarweb.

The Data Engineer will design and maintain data pipelines, develop analytics solutions, and support internal stakeholders' requests while collaborating with various teams.

Design and implement a scalable BI data infrastructure. Build and maintain ETL/ELT pipelines for analytics. Collaborate cross-functionally to translate business needs into data solutions.

As a Senior Data Engineer, you will design and develop scalable data systems using AWS and Apache Spark, collaborate across teams, and implement data best practices.

The Senior Data Engineer will design and scale data infrastructure, manage the service lifecycle, and ensure data quality while collaborating with multiple teams.

Design and maintain data pipelines using Apache Spark, lead projects, optimize data infrastructure, and mentor engineers for a cloud security platform.

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 own scalable backend, data, ML and AI pipelines; integrate LLM/agent components into production workflows; drive architecture, deployment, monitoring, and operational excellence across Predict's platform.