Data Engineer Jobs in Oakland, CA

The Senior Data Engineer is responsible for architecting and maintaining data infrastructure, developing automated data pipelines, and enabling analytics while collaborating with various stakeholders.

As a Staff Software Engineer (Data), you'll design and build data infrastructure for healthcare, including data pipelines, storage solutions, and compliance systems.

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

As a Data Platform Engineer, you'll design and maintain scalable data systems, partner with teams on product direction, and ensure system reliability and security.

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

Transform complex data from network infrastructure into actionable insights by developing data extraction processes, automating via scripting, and utilizing visualization tools.

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

Lead the Clinical Data Platform team, architect systems for healthcare data integration, and manage a small engineering team. Responsibilities include data standardization, anomaly detection, and system optimization.

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.

Design, develop, and maintain AI/ML platform infrastructure ensuring scalability and reliability. Collaborate across teams, drive technical direction, and own components.

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.

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.

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