Digital Process Development Engineer

Crystal Equation Corporation; New Albany (OH); On-site; USD 90,000 - 120,000; Full time

Job summary

Crystal Equation Corporation seeks a Process Development Engineer to design and implement digital tools for manufacturing, combining hands-on programming with engineering problem-solving on the production line. You will automate verification activities, manage equipment and process data, and improve access to technical information throughout its lifecycle.

This role involves equipment characterization, engineering runs, data collection, troubleshooting, and documentation under the guidance of

Qualifications

• Hands-on experience developing and supporting Python applications, SQL queries, APIs, and data processing workflows.
• Understanding of manufacturing equipment, process parameters, and automation concepts, with ability to support characterization, engineering runs, and other PD activities on the line.
• Translate engineering needs into clear requirements, investigate problems, implement and test solutions, analyze data, and document results.

Responsibilities

• Apply programming, data integration, and emerging technologies to practical manufacturing challenges while gaining hands-on experience with equipment characterization, engineering runs, and manufacturing processes.
• Work alongside Process Development, Operations, engineering, and technology specialists to deliver tools and process improvements that strengthen efficiency, data quality, and engineering decision-making.

Skills

Python

SQL

APIs

Data processing workflows

Manufacturing equipment

Process parameters

Automation concepts

Requirements translation

Problem solving

Tools

PLC tags

Industrial data connectivity

Manufacturing historians

Databricks

Cloud data services

Dashboard tools

Job description

Support the development and implementation of digital tools for manufacturing and process development. Work with engineering, automation, and technology teams to automate verification activities, manage equipment and process data, improve access to technical information, and connect product and manufacturing information throughout its lifecycle.

This role combines hands-on programming and engineering problem-solving with direct support of Process Development activities on the manufacturing line. The engineer will participate in equipment and process characterization, engineering runs, troubleshooting, data collection, and other line-based studies under the guidance of experienced PD staff. This hands-on experience will build practical knowledge of equipment and process behavior and inform the development of useful, reliable digital tools.

The engineer will take defined engineering needs through requirements development, implementation, testing, documentation, and handover, with guidance from the Process Development lead and collaboration with technical specialists in a regulated manufacturing environment

Responsibilities

• Apply programming, data integration, and emerging technologies to practical manufacturing challenges while gaining hands-on experience with equipment characterization, engineering runs, and manufacturing processes.
• Work alongside Process Development, Operations, engineering, and technology specialists to deliver tools and process improvements that strengthen efficiency, data quality, and engineering decision-making

Required Skills

• Programming and Data Integration: Hands-on experience developing and supporting Python applications, SQL queries, APIs, and data processing workflows to build and troubleshoot practical engineering tools.
• Manufacturing and Process Development: Understanding of manufacturing equipment, process parameters, and automation concepts, with the ability and willingness to support characterization, engineering runs, and other Process Development activities on the manufacturing line.
• Engineering Delivery and Documentation: Ability to translate engineering needs into clear requirements, systematically investigate problems, implement and test solutions, analyze data, and document results through cross-functional collaboration

Preferred Skills

• Practical experience developing and supporting Python applications, SQL queries, APIs, and data processing workflows.
• Familiarity with PLC tags, industrial data connectivity, and manufacturing historians.
• Experience with data platforms such as Databricks, cloud data services, or dashboard and visualization tools.
• Familiarity with product lifecycle management, engineering configuration management, or requirements traceability.
• Experience applying AI tools to technical information retrieval, workflow automation, or engineering analysis, with appropriate testing and human review.
• Working knowledge of version control, debugging, software testing, and change management.
• Experience in pharmaceutical, biotechnology, medical device, or another regulated manufacturing environment.
• Exposure to CAD, engineering simulation, or digital twin applications is beneficial.
• Candidates are not expected to have experience with every technology listed. Strong engineering judgment, hands-on development skills, and the ability to learn unfamiliar systems are essential