We are constantly looking to add to our core talent. If you are seeking a career that is challenging and rewarding, a work environment that is diverse and dynamic, look no further - Haemonetics is your employer of choice.
Job Details
We are seeking a Software Engineer II - Data & Applications to design, develop, and support full-stack data-driven applications across edge and cloud environments. This role blends software engineering and data engineering disciplines, focusing on front-end interfaces, backend APIs, data pipelines, and real-time streaming systems. You will play a key role in developing production-quality systems, supporting edge-to-cloud data integration, and collaborating with cross-functional teams spanning manufacturing, data science, and operations. The ideal candidate is self-motivated, comfortable working across multiple layers of the technology stack, and ready to help shape the company's data architecture. This role may require up to 50% travel and is Hybrid (3 days per week) in our Clinton, PA Manufacturing Facility. Key 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
Required Qualifications:
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 Qualifications:
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
Career Growth Opportunities
Lead design of subsystems and large-scale integration projects Serve as a technical mentor and subject matter expert for edge and data systems Progress into Senior Software Engineer or Data Engineering Specialist roles Collaborate with cross-functional teams driving analytics, automation, and manufacturing innovation
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Haemonetics Corp
Nov 08, 2025