Hybrid Software Engineer II – Data & Applications

at Haemonetics

• Job title: Software Engineer II – Data & Applications
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Angular, Cloud, ETL, GraphQL, GRPC, Java, Kafka, Linux, NoSQL, Python, React, SQL, Vue.js, Go
• Location requirements: Hybrid, Clinton, United States

About the role

• Software Engineer II developing data-driven applications across edge and cloud environments. Collaborating with teams on full-stack solutions and optimizing data integration processes.

Responsibilities

• Design, implement, and maintain full-stack applications with a focus on performance, scalability, and reliability
• Develop and manage APIs (REST, gRPC, GraphQL) for internal and external system communication
• Architect, build, and optimize data pipelines and ETL processes (batch and streaming)
• Work with message buses and data streaming frameworks (Kafka, MQTT, etc.)
• Design and evolve database schemas (SQL and NoSQL) to support application and analytics needs
• Deploy and support applications across Linux-based edge and cloud environments
• Integrate data from edge computing platforms (Litmus Edge preferred) with central systems
• Collaborate with data scientists and analytics engineers to support model deployment and data services
• Implement observability (logging, metrics, monitoring) for data and application reliability
• Participate in code reviews, architecture reviews, and cross-team technical discussions
• Mentor junior engineers and support their technical development

Requirements

• 2–5 years of professional software engineering experience
• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, or related field (or equivalent experience)
• Proficiency in backend programming languages such as Python, Java, C#, or Go
• Working experience with front-end frameworks (e.g., React, Angular, or Vue )
• Solid understanding of RESTful API design , versioning, and authentication methods
• Experience designing and maintaining relational and non-relational databases
• Familiarity with streaming technologies (Kafka, MQTT, or similar) and data pipeline design
• Experience developing on Linux systems, including scripting and performance debugging
• Strong understanding of software architecture, data modeling, and integration concepts
• Excellent problem-solving, analytical, and debugging skills
• Ability to balance multiple projects and collaborate effectively across teams.

Benefits

• Up to 50% travel
• Hybrid work arrangement (3 days per week in the office)