Data Engineer Jobs in Santa Clara, CA

Design and develop scalable data pipelines and storage systems for machine learning evaluation, and create tools for data annotation and monitoring.

Design and build software for data management, collaborating with NVIDIA research and internal teams to enhance cloud services and performance.

Develop and maintain scalable web applications and services for test automation and chip verification. Collaborate with teams to understand requirements and design user-friendly interfaces.

Lead architectural design for Coupang's data ecosystem, drive technical decisions, and collaborate with engineering teams on implementations to enhance data capabilities and operational excellence.

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

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

Develop high-performance components using Golang for the Litmus Data Platform, focusing on streaming data integration and system resilience.

The Lead Data Engineer will develop and manage B2B data pipelines and infrastructure, ensuring data quality and collaboration with cross-functional teams for marketing analytics.

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.

Lead Glean's engineering team in building and scaling enterprise data management systems, collaborating on product initiatives and delivering robust solutions.

The Senior Data Analytics Engineer will support data analytics projects by creating dashboards, performing trend analysis, and designing data pipelines.