Top Data Engineer Jobs in Santa Cruz, CA

As a Senior Machine Learning Engineer at Samsara, you'll develop ML solutions for physical operations, driving new initiatives and optimizing systems. Collaborate with engineering teams to create end-to-end ML applications while influencing industry practices and contributing to company culture.

The Manager, Data Acquisition will develop and manage the data acquisition strategy to enhance kidney care services, oversee a small team, liaise with external partners for new data sources, enforce data quality and governance, and drive value-based outcomes. The role involves strategic decision-making and collaboration with leadership.

As a Computer Vision/Machine Learning Engineer at Dandy, you will develop advanced computer vision models, collaborate with product teams, and work on 3D generative AI tasks. Your role involves researching state-of-the-art machine learning methods, managing large datasets, and implementing MLOps best practices to enhance dental technology solutions.

As a Data Engineer at Headway, you will design and implement data pipelines to support business decisions, improve data infrastructure, and collaborate with cross-functional teams in providing valuable insights from data. You will engage with product, engineering, and data teams to create efficient data processing systems.

As Director of Data Science and AI at Cisco Meraki, you will lead a growing team to apply quantitative methods and develop machine learning models that enhance customer value and drive product development. Your role will involve strategizing AI use cases, overseeing AI/ML solution deployment, and improving data infrastructure in collaboration with various partners across the organization.

As a Machine Learning Engineer, you will contribute to building and deploying machine learning models for a content recommender system, collaborate with data engineers, and derive insights to improve performance through modeling ideas and feature creation.

As a Senior Data Engineer at Bombora, you will develop and maintain scalable ETL pipelines, optimize data processing systems, and design databases. The role involves troubleshooting production issues, mentoring other engineers, and establishing best practices while leveraging technologies like Python, Airflow, and GCP.