Top Data Engineer Jobs in Austin, TX

The Data Migration Specialist at AffiniPay ensures successful migrations for new customers transitioning from previous software to MyCase, focusing on detailed data management, communication, and customer satisfaction while using analytical skills to address any issues that arise.

The Data Center Selection Manager will lead efforts to improve the quality and cost of colocation sites for Cloudflare, manage vendor relationships, and handle negotiations for new and existing data centers. The role involves cross-functional collaboration and project management while aligning the regional vendor strategy with infrastructure objectives.

As a Data Specialist at Sonar, you will design and develop analytics domains, support data ownership, collaborate with data teams, own and manage data visualization tools and catalogs, and provide insights to stakeholders to enable data-driven decisions.

In this role, the Staff Machine Learning Engineer will develop and lead an AI/ML strategy to enhance customer support, collaborating across teams to implement natural language understanding systems and improve user experience at Canva.

As a Computer Vision/Machine Learning Engineer at Dandy, you will develop computer vision models for 3D scans, research and implement advanced methods, work with large datasets, and maintain MLOps pipelines. Your role will contribute significantly to improving dental technology and practices.

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.