Top Senior Level Data Engineer Jobs in Rochester, NY

As a Principal Data Scientist at Appspace, you will analyze data generated by our platform to create valuable reporting and analytics for customers. This includes developing data models, dashboards, and providing user training while collaborating with cross-functional teams to meet customer needs.

As a Senior Machine Learning Engineer, you will design and develop machine learning applications, conduct experiments, work collaboratively with engineers, engage with clients, and mentor project teams, focusing on practical AI solutions for clients.

The Application Data Architect will guide software engineering teams in database design, optimizing data for online applications, and ensuring data integrity and security. Responsibilities include collaborating with various teams to translate requirements into database designs, managing data catalogs, and improving data architecture best practices.

Join Glass Health as a Founding AI/Data Engineer and play a key role in designing and building platforms, developing user-facing generative AI features, and collaborating with cross-functional teams. You will ensure reliability, security, and performance in a startup environment focused on advancing healthcare technology.

The Manager of Marketing Technology and Data Operations oversees the marketing technology stack at Berklee College of Music, managing platforms like Salesforce Marketing Cloud, optimizing data capture, and ensuring effective marketing campaign execution. This role involves collaboration with stakeholders to enhance workflows, improve customer engagement, and support data-driven decision-making.

The Data Architect will design, develop, and maintain data architecture and infrastructure, ensuring data integrity, security, and accessibility. Responsibilities include creating data models, overseeing data integration, establishing data governance, and optimizing data systems for performance. This role requires collaboration with teams and leadership in data transformation initiatives.

The Data Engineering Lead at Equip will oversee the development of data infrastructure and pipelines, ensuring data availability and reliability to improve patient lives. Responsibilities include designing engineering projects, providing technical guidance, maintaining data quality standards, and collaborating with stakeholders.