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Software Engineer II Data & Applications (Hybrid, Clinton PA)
Software Engineer II Data & Applications (Hybrid, Clinton PA)Haemonetics • Clinton, Utah, USA
Software Engineer II Data & Applications (Hybrid, Clinton PA)

Software Engineer II Data & Applications (Hybrid, Clinton PA)

Haemonetics • Clinton, Utah, USA
17 days ago
Job type
  • Full-time
Job description

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 companys 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 :

25 years of professional software engineering experience

Bachelors or Masters 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

EEO Policy Statement

Key Skills

Business,Baan,Communication,Corporate Advisory,HSSE

Employment Type : Full-Time

Experience : years

Vacancy : 1

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Software Engineer Ii • Clinton, Utah, USA

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