Haemonetics · 2 weeks ago
Software Engineer II - Data & Applications (Hybrid, Clinton PA)
Haemonetics is a company focused on delivering innovative solutions in the healthcare industry. They are seeking a Software Engineer II to design, develop, and support full-stack data-driven applications, integrating edge and cloud environments while collaborating with cross-functional teams.
BiotechnologyConsultingHealth CareMedicalMedical Device
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
Company
Haemonetics
Haemonetics is a provider of blood and plasma supplies and services.
H1B Sponsorship
Haemonetics has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (3)
2023 (3)
2022 (2)
2021 (4)
Funding
Current Stage
Public CompanyTotal Funding
$1.75B2024-05-21Post Ipo Debt· $600M
2021-03-01Post Ipo Equity· $435M
2019-05-23Post Ipo Equity· $10M
Leadership Team
Recent News
2026-01-03
2025-12-02
2025-11-21
Company data provided by crunchbase