Top C# Jobs in Boston, MA

The Senior Data Engineer will develop solution architecture, automate data pipelines, and support integrations for healthcare clients, ensuring effective data management.

Lead a cross-functional team to build robust data ingestion services and scalable data platforms, while ensuring operational excellence and team development.

The Software Developer will design, code, and deploy digital solutions while collaborating with cross-functional teams and maintaining documentation and CI/CD pipelines. They will employ AI and machine learning in a fast-paced environment.

The IoT Architect will lead the software and system architecture for IoT solutions, collaborating with various teams to implement and customize systems, and providing technical support to customers.

Work as part of a software development team designing rapid prototypes for ISR and C2 challenges, utilizing Agile and DevSecOps practices.

The Manager of Ontology and Data Modeling will develop and maintain enterprise ontologies to drive Capital One's Data Strategy, collaborating across teams to standardize and integrate data solutions while advocating for semantic technologies.

The Distinguished Engineer in Finance Technology will architect solutions, collaborate on enterprise finance systems, and mentor engineering teams to innovate financial services.

The Principal Financial Applications Engineer leads engineering for financial systems, ensuring compliance, scalability, and optimizing enterprise financial solutions while mentoring junior engineers.

Develop tools for large data analysis, create system models from various sources, and collaborate on cybersecurity solutions while documenting and presenting research.

Develop mobile applications for drone operation and live-streaming on Android devices, integrate with hardware SDKs, and lead a Scrum team.

This role involves developing Angular applications and public APIs related to healthcare data management, collaborating with developers and UX designers, and adhering to best practices.

Design and deploy machine learning models for drug development, collaborate with cross-functional teams, and innovate AI solutions to improve clinical outcomes.