Top Hybrid .NET Developer Jobs in Boston, MA

The Senior Software Engineer will lead initiatives to enhance product offerings, develop innovative solutions, mentor team members, and deliver high-quality software in a fast-paced environment.

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

Lead the Data Curation team, transforming complex biomedical and healthcare data into interoperable models, overseeing data integration and governance, and mentoring engineering staff.

As a Staff Engineer, you will lead technical vision for ecosystem developer tools, build robust systems, mentor engineers, and collaborate cross-functionally. You'll oversee projects to enhance API functionalities for users.

The Principal Front-Office Engineer will design and implement applications for investment teams, enhancing market analysis and investment strategies. This role requires collaboration with analysts, strong programming skills in Python, and familiarity with financial data.

Lead a team of software engineers, focusing on development, coaching, and delivery processes within a healthcare-related software environment.

As a Senior Data Engineer at Capital One, you'll design and implement data solutions, leveraging modern technologies and collaborating with Agile teams in a cloud environment.

Lead the design and implementation of full-stack features in a chemistry-focused team, ensuring high performance and reliability while mentoring fellow engineers.

Lead engineering teams for Spend Management squads, focusing on delivering features for the North American market, ensuring excellence and collaboration across functions.

Responsible for the development, design, and integration of hardware and software for interactive gaming experiences. Collaborate with teams to ensure successful implementation of systems, optimize performance, and provide mentorship.

As an Engineer II, you will design, develop, and support big data applications, manage day-to-day operations, troubleshoot data issues, and implement data services using technologies like Hadoop and Spark.