Software Engineer II - Data & Applications

Clinton, PA

Full-time

Onsite

Entry, Mid Level

Haemonetics Corp. is a dynamic and diverse employer seeking a Software Engineer II – Data & Applications to design, develop, and support data-driven applications. The role involves full-stack development across edge and cloud environments, focusing on performance, scalability, and collaboration with cross-functional teams.

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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
Travel (up to 50%) to support integration and deployment at North American sites

Qualification

Required

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

Preferred

Hands-on experience with Litmus Edge or other edge computing frameworks
Tulip Interfaces implementation and app development experience
Experience with containerization and orchestration (Docker, Kubernetes)
Familiarity with cloud platforms (AWS, Azure, GCP) and cloud-native data tools
Experience with monitoring and observability tools (Prometheus, Grafana, ELK)
Exposure to CI/CD pipelines, GitOps, and automated testing frameworks
Experience integrating or deploying machine learning models in production environments
Understanding of industrial IoT (IIoT) data protocols and edge-to-cloud architectures