Data Engineer Jobs in Fremont, CA

The Data Engineer at Carrot develops and maintains automated data pipelines, ensures data quality and compliance, and supports analytics and reporting needs.

The Principal Software Engineer will design and implement core components of a new cloud-native platform, leading architecture for scalable, distributed systems, while collaborating and mentoring engineers.

Design, implement, and maintain scalable data pipelines and analytical solutions, optimizing performance and ensuring data quality while collaborating with stakeholders.

The Data Engineer will design data ingestion pipelines, integrate datasets, analyze time-series data, and collaborate with software engineers to enhance data processes.

As a Staff Data Engineer, you will create and maintain data pipelines, design ETL processes, and mentor engineers to enhance advertising products through data-driven insights.

Transform raw data into trusted datasets; build and optimize data pipelines; integrate customer data; ensure data quality and reliability.

The Senior Data Engineer will develop and manage data infrastructure and pipelines, collaborating with the ML team to support analytics and machine learning applications.

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.

Design and develop data visualization tools for AI performance, collaborate with engineers, define visualization standards, and drive user experience innovation.

The Staff Engineer will design and build scalable Data Lakehouse components, lead architecture sessions, innovate with open-source tools, and mentor other engineers.

As an Engineer II, you will design and build scalable components for a Data Lakehouse, lead architecture sessions, innovate with new tools, and ensure system quality and performance while collaborating across teams.

The Senior Software Engineer will scale open-source data infrastructure, handle data lifecycle tasks, and support internal and external products.

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 implement evaluation pipelines for AI models, focusing on user feedback integration and performance optimization in consumer products.

As a Software Engineer on the Data Analytics team, you will build analytics infrastructure, improve data quality, mentor juniors, and support data tools for various teams.

The Senior Software Engineer will lead technical initiatives, design data-intensive applications, mentor engineers, and ensure the scalability and performance of reporting systems.

As a Senior Data Analytics and AI Engineer, you'll lead data analytics, build data pipelines, collaborate with teams, and mentor junior engineers in DFT methodology.

Lead the architecture, design, and implementation of a high-performance data processing engine focused on large-scale data processing.

As a Data Engineer, you will design and optimize data models, ETL pipelines, and analytics workflows to support data-driven decision-making for business stakeholders.

Design and develop data solutions, optimize ETL/ELT pipelines, integrate ML models, collaborate with engineers, and operationalize analytics for semiconductor R&D and operations.

The Staff Data Engineer will design scalable data solutions, lead development of a Unified Customer Profile, and mentor team members, influencing data strategies.

The Data Operations Engineer will optimize and maintain data labeling workflows, automate tasks, and ensure quality in data annotation processes.

The Senior Software Engineer will design and maintain systems for efficient data transfer to facilitate NVIDIA's AI workflows, focusing on distributed systems and protocols.

As a Software Engineer on the Data Platform team, you will design, build, and optimize distributed systems for high-throughput data processing, collaborating with diverse teams to enhance data workflows.

The role involves designing and implementing data ingestion pipelines, developing components for data transformation, improving platform observability, and collaborating with data consumers.