Data Engineer Jobs in Berkeley, CA

Own and evolve the data platform by leading architectural evolution, collaborating with teams for strategic data initiatives, and ensuring reliable data systems.

The Data Recovery Engineer will provide IT support and troubleshooting on Macintosh/iOS platforms, focusing on data recovery and excellent customer service.

The Data Recovery Engineer will support Windows PC environments, focusing on data recovery and troubleshooting while providing excellent customer service.

The Marketing Data Science Lead will leverage data to optimize marketing campaigns, manage marketing operations, and enhance overall performance through analytics.

Collaborate with teams to enhance data systems, optimize pipelines, and ensure high performance using Java and related tools, emphasizing agile methodologies.

Design and maintain data infrastructure, deploy data pipelines, ensure data quality, and collaborate with teams to meet data needs within the organization.

The Machine Learning Engineer will design, build, and maintain scalable data pipelines, manage compute clusters, and collaborate with research teams for model training.

Develop and maintain data systems and MLOps infrastructure for machine learning algorithm development and deployment, ensuring high-quality datasets and tracking processes.

Lead Glean's engineering team in building and scaling enterprise data management systems, collaborating on product initiatives and delivering robust solutions.

Responsible for developing and delivering data engineering systems, collaborating with cross-functional teams, and contributing to the product lifecycle.

As a Senior Software Engineer, you will design and implement data infrastructure for creating and managing multimodal datasets to enhance AI safety systems.

The Senior Software Engineer, Data will design and maintain data pipelines, develop data products, and enhance product analytics capabilities, ensuring data quality and consistency.

The Sr. Data Engineer will design and implement data platforms, develop data pipelines using Python and SQL, and ensure system reliability and performance.

The Senior Data Engineer will create data pipelines, maintain data architecture, collaborate with teams, and analyze data integration for payment systems.

As a Senior Staff Data Engineer, you'll design and develop scalable data platforms, mentor engineers, and ensure compliance while enhancing the developer experience for data scientists and ML engineers.

Design and develop core data infrastructure for AI platform, focusing on scalable systems, database architecture, and high-throughput data management, enabling efficient data streaming for model training.

Develop and maintain data visualization components for Visa's component library, ensuring accessibility and user satisfaction, while collaborating with designers and engineers to enhance data experiences.

As a Senior Data Engineer, you will develop scalable ETL pipelines, optimize storage solutions, and ensure data quality while collaborating with cross-functional teams.

As a Senior Software Engineer, you will develop distributed data storage and processing systems, enhance performance, and support diverse data workloads at Databricks.

As a Senior Software Engineer, you'll design and build scalable data acquisition pipelines, ensuring quality and performance while working with diverse data ingestion patterns.

Lead the design and implementation of scalable backend architectures, build and optimize data pipelines, and mentor engineering teams.

As a Forward Deployed Engineer, you will design scalable data pipelines, optimize code for data processing, and collaborate with AI teams to meet their data needs.

As a Data Infrastructure Engineer, you will enhance data processing pipelines, manage data infrastructure, and implement best practices for large-scale data handling.