Software Engineer II - Data Hybrid, Clinton PA

Software Engineer II - Data & Applications (Hybrid, Clinton PA) page is loaded## Software Engineer II - Data & Applications (Hybrid, Clinton PA) locations:
Clinton, PAtime type:
Full time posted on:
Posted 2 Days Agojob requisition :
R10013

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, Graph

QL) 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 No

SQL) 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**, Git Ops, 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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