Data Engineer Jobs in Sunnyvale, CA

Design and implement foundational data systems for AI, focusing on efficiency and performance at scale. Collaborate on systems that optimize data handling and contribute to research advancements.

Seeking a Staff Engineer to lead data platform development, focusing on stream processing, data architecture, and team mentorship within a high-performance environment.

The AI Data Engineer will build scalable data pipelines, design systems for data processing, and manage the lifecycle of AI agents, focusing on unstructured data such as video and audio.

Lead the architecture and evolution of Granica's distributed data systems, focusing on efficiency, platform reliability, and team mentorship. Collaborate with AI teams and contribute to research in data infrastructure.

As a Senior Data Engineer, you'll design scalable data models, manage cloud pipelines using Google Cloud services, and optimize data architecture while collaborating with cross-functional teams.

The Data Engineer will design, develop, and maintain scalable data systems, focusing on AWS and big data technologies to support data-driven decision-making and ensure data security.

As a Software Engineer III at GlossGenius, you will lead data engineering efforts, designing and implementing data models and pipelines while mentoring engineers and shaping the data platform's vision.

The Data Engineer will analyze data quality, design prediction algorithms, collaborate with the engineering team, and generate business insights.

As a Data Engineer at MAI, you will develop and maintain data platforms, design ETL/ELT processes, ensure data quality, and collaborate with teams to optimize data utilization for analytics and ML applications.

This role is a Data Engineer position focused on building data foundations and pipelines, conducting analyses, and translating business needs into data-driven solutions.

Drive yield improvement and process optimization for advanced packaging by building scalable data pipelines, integrating ATE/DFT/fab data, performing statistical and ML-based yield analytics, enabling self-serve analytics, and delivering reports and recommendations across cross-functional teams and external partners.

The AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.

Design, deploy, and manage data center networks for AI infrastructure. Troubleshoot issues, guide junior staff, and collaborate across teams.

Develop and maintain scalable data systems for sensor data, including ETL pipelines, hardware/software integration, and workflow collaboration.

Design, build, and maintain petabyte-scale distributed ML data platforms (ingestion, processing, serving) on GCP. Collaborate with ML/Data Engineers, lead end-to-end projects, improve performance/cost/reliability, participate in design/code reviews, and mentor junior engineers.

Lead the development of AI-driven analytics applications, collaborate on data insights, mentor juniors, and ensure model performance in a fast-paced environment.

The Data Engineer will manage the full data stack, design database architecture, build ETL pipelines, create data integrations, and oversee reporting and data quality.

As a Senior Software Engineer, you'll design and build data models, APIs, and backend services for a complex datacenter infrastructure platform, while ensuring high performance and scalability.

The Senior Engineer will develop applications for data management, implement data platforms, and ensure data flow and security compliance.

The AV Site Engineer is responsible for designing, developing, and maintaining infrastructure for General Motors' AV projects, collaborating with teams, and supporting hardware systems.

Design and build data systems for advanced analytics and AI-driven research. Develop pipelines, data models, and collaborate with teams on data governance and access.

Transform foundational research into scalable systems and algorithms, implement efficient learning methods and optimize high-performance data pipelines.

Design and implement teleoperation systems for robots, build data pipelines, and develop algorithms for efficient data collection to enhance robot capabilities.

Design and operate distributed data systems for large-scale data ingestion, processing, and transformation. Collaborate with ML researchers for data preparation and ensure data quality and scalability.

The Senior Software Engineer will architect release and test infrastructure, design data pipelines, and collaborate on technical roadmaps. Responsibilities include building backend services in Python, ensuring traceability across systems, and mentoring a team of engineers.