Data Engineer Jobs in Santa Clara, CA

Develop software for performance and stability of localization systems, analyze data for insights, and enhance validation tools for autonomous driving.

As a Senior Data Engineer in Cloud Gaming, you'll optimize data processing services, enhance performance, build data systems, and train other engineers.

As a Senior Data Engineer, you will lead projects, design and maintain scalable data architectures using cloud technologies, and collaborate with stakeholders to enhance data solutions and business intelligence capabilities.

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.

The role focuses on improving Ray Data's performance, ensuring scaling of data pipelines, building data solutions for AI workloads, and enhancing fault tolerance.

The Data Engineer will architect and maintain a data warehouse, optimize ETL processes, ensure data governance, and collaborate with stakeholders for data-driven decision making.

As a Staff Business Intelligence Engineer, you will design and code ELT/ETL pipelines, develop dashboards, maintain data models, optimize query performance, and mentor team members.

The Principal Product Manager will lead the strategy for data platforms, enhancing data accessibility and usability while coordinating with engineering teams to optimize operations and improve scalability for Adobe products.

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

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.

As a Software Engineer II, you'll design, build, and maintain data infrastructure and pipelines, optimize data processing systems, and collaborate across teams to ensure high-quality data accessibility and security.

The Senior Data Engineer will implement quality data solutions, build pipelines, analyze raw data, develop tools, and collaborate with teams to meet business objectives.

The Senior Software Engineer will design and implement AI systems for safety data, ensuring usability, scalability, and performance while collaborating with cross-functional teams to enhance platform safety.

The Senior Software Engineer will manage data lifecycles, design foundational datasets, ensure data quality, and collaborate across teams to enhance data transparency and governance.

Design and develop ML/DL algorithms and architectures for automated data analysis, build scalable ETL pipelines, and work collaboratively on projects.

The role includes backend development for threat intelligence analysis, optimizing data pipelines, and collaborating on product integration.

Design and build data infrastructure and data pipelines, focusing on big data processing, modeling, and automation to support engineering teams at NextSense.

The role entails designing, developing, and managing data platforms, analytics, and AI services in a multi-cloud environment, focusing on SaaS products and security.

The Data Pipeline Engineer will implement and maintain big data infrastructure, develop REST APIs, and perform statistical analysis within an Agile environment.

The Staff Software Engineer - Vehicle Data Management will work on scalable data frameworks, APIs, and optimize systems using cloud technologies while collaborating across teams.

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.

Join our team to enhance the next generation of automotive software by developing solutions for data processing and machine learning in the self-driving domain.

The role involves building a scalable data search platform for AD/ADAS, requiring collaboration with ML and engineering teams on data-driven projects and cloud infrastructure.

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

Design and build secure, scalable APIs and data systems for clinical platforms. Ensure data integrity and collaborate with cross-functional teams.