Data Engineer Jobs in Oakland, CA

The Senior Data Engineer will design, build, and maintain scalable data pipelines, optimizing data systems to support efficient analytics and operations.

The Staff Software Engineer will curate data, build ETL workflows, automate processes, and serve as a liaison between scientific and engineering teams to enhance research data management.

Develop and maintain data pipelines for gathering post-training datasets, ensuring data quality and efficiency in processing and generation.

As a Data Infrastructure Engineer, you'll develop solutions for massive data orchestration, support ML deployment, and lead technical directions for the team.

This role involves designing and developing backend services, mentoring developers, optimizing code quality, and supporting operational activities while collaborating with product and design teams.

Design, build, and maintain data pipelines and infrastructure for a data platform, collaborating with cross-functional teams to ensure data accessibility and security.

The AV Safety Data Reporting Engineer gathers, analyzes, and reports safety data, ensuring compliance with regulations while collaborating with various teams to maintain safety standards.

The role involves scaling data systems, improving data infrastructure, mentoring engineers, and collaborating with stakeholders to enhance data-driven decision making at Plaid.

The Multi-lingual Data Specialist will create large-scale multilingual datasets, evaluate multilingual speech models, and collaborate with product teams to enhance language support.

As a Senior Data Engineer, you will design and develop data solutions using AWS services, automate data pipelines, and work on cloud migration from Hadoop to AWS. You will also collaborate on architecture and support existing applications.

The Software Engineer will design and build scalable data infrastructure for AI research, focusing on distributed systems and data processing. Responsibilities include developing systems for data ingestion, monitoring platform reliability, and collaborating with research teams.

Build and maintain scalable data pipelines in healthcare; develop solutions for data ingestion and modeling; collaborate with teams; ensure data quality and compliance, and explore AI tools.

Lead the design and development of data integration solutions and APIs, ensuring performance and security. Oversee software lifecycle, mentor juniors, and contribute to code reviews while resolving complex technical issues.

As a Sr. Staff Software Engineer, you will design and run Databricks' Data Intelligence Platform, develop tooling for large-scale systems, and lead architecture efforts while mentoring engineers.

As a QA Engineer, you'll validate AI applications, manage test data, develop test strategies, and ensure quality performance of AI systems.

As an AI Applications and Data Science Engineer, you will develop AI applications, predictive models, NLP chatbots, and data automation solutions, enhancing user experiences and optimizing data processes.

The Data Engineer will build scalable data pipelines, ensure data quality, and collaborate with teams for analytics and ML products.

Lead and shape Sprinter's Clinical Data Platform team, building systems for integrating clinical, operational, and logistics data while ensuring data quality and usability across various applications.

Lead technology initiatives in data lifecycle management, drive technology vision and architecture, and serve as a mentor within Equinix and the industry.

Lead the design and development of data pipelines, collaborate with cross-functional teams, and mentor other data engineers while optimizing large-scale data systems.

Join Foxglove as a Senior Data Engineer, focusing on robotics data processing and analytics, working with a skilled team in a hybrid remote setup.

As a Senior Solutions Engineer, you will support customers in deploying ML applications, ensuring technical success, and enhancing their understanding of Flyte and Union Cloud.

As a Software Engineer, you will develop full-stack visualization tools for analyzing the performance of supercomputers, ensuring reliability and scalability, and collaborating with teams to meet evolving needs.

The Data Infrastructure Engineer will design, build, and operate scalable data infrastructure systems, ensuring reliability and performance while collaborating with various teams at OpenAI.

Lead engineering projects for data acquisition, focusing on web crawling, data ingestion, and scalable distributed systems, while ensuring compliance and conducting performance analysis.