Manufacturing Data & Controls Integrations En

Manufacturing Data & Controls Integration Engineer

Aguadilla, Puerto Rico – Full-time/On-site – Salary commensurate with experience

About Solx

Solx is building the next generation of intelligent manufacturing. Our factory floor is where advanced

hardware meets advanced software — and where AI at the edge directly drives yield, throughput,

quality, and uptime. We are investing in the systems, infrastructure, and talent to make our operations

the most intelligent in the industry.

About the Role

Build the bridge between the factory floor and Solx’s data and AI systems. As we scale our 1 GW

Aguadilla facility and integrate AI across the production line, this role connects production equipment —

PLCs, HMIs, sensors, and inspection systems — to centralized databases and analytics platforms, making

machine, sensor, process, and inspection data reliable, structured, and accessible.

This is a hands-on, cross-functional role at the intersection of controls engineering and data

infrastructure. You’ll complement our AI team by establishing dependable connections to production

equipment and delivering the clean, well-documented data flows that power analytics, machine learning,

and AI-driven manufacturing. If you like being close to the equipment and close to the data, this role is

built for you. You will report directly to the [Hiring Manager / AI & Data Lead].

Core Responsibilities

• Connect production equipment, PLCs, HMIs, and databases into cohesive, reliable data pipelines

across the manufacturing line.

• Program, troubleshoot, and integrate industrial PLCs and HMIs to support production and datacollection

requirements.

• Collect and standardize data from PLCs, sensors, cameras, inspection equipment, and other

production machinery.

• Connect manufacturing equipment to SQL databases, data historians, MES platforms, and other

centralized data systems, ensuring data integrity end to end.

• Design and document industrial system architectures, network diagrams, tag structures, data flows,

and data dictionaries.

• Build and maintain data-integration routines using SQL and scripting languages (e.g., Python) to

move, transform, and validate production data.

• Partner with the AI, engineering, quality, and operations teams to make machine, process, and

inspection data ready for analytics and AI applications.

• Support SCADA and OT/IT networking to ensure secure, stable, and scalable connectivity between

equipment and enterprise systems.

• Uphold data quality, traceability, and compliance standards throughout the production environment.

What You’ll Work On

The scope of this role spans the full industrial data stack, including: PLC and HMI integration, SCADA,

OT/IT networking, data historians, MES, SQL data modeling, and analytics and AI enablement.

• Stand up a unified tag and namespace standard across the line so every machine, sensor, and

inspection station reports data the same way.

• Integrate inspection and vision systems so defect records tie back to serial, station, recipe, and

process conditions end to end.

• Build the historian and MES connections that turn raw equipment signals into queryable production

history.

• Develop SQL and Python routines that validate, transform, and monitor data flows — catching bad

data before it reaches a model.

• Design and harden the OT/IT boundary — segmentation, secure remote access, and scalable

connectivity as the line grows.

Required Qualifications

• Bachelor’s degree in Electrical, Computer, Mechanical, or Industrial Engineering — or equivalent

hands-on controls and integration experience.

• Hands-on experience in industrial automation, controls engineering, or manufacturing systems

integration.

• Experience programming, troubleshooting, and integrating industrial PLCs and HMIs.

• Experience collecting data from PLCs, sensors, cameras, and inspection equipment, and connecting

that equipment to databases, data historians, or MES platforms.

• Working knowledge of SQL databases and data modeling.

• Ability to design and document industrial system architectures, network diagrams, tag structures,

data flows, and data dictionaries.

• Strong analytical and problem-solving skills, with a detail-oriented mindset focused on quality and

compliance.

• Ability to collaborate effectively across engineering, manufacturing, quality, and data/AI teams.

• Bilingual English/Spanish a plus.

Preferred Qualifications

• Scripting experience for data integration, preferably Python.

• Familiarity with SCADA systems and data historians (e.g., Ignition, Kepware, OSIsoft PI).

• Experience integrating manufacturing data specifically to support analytics, machine learning, or AI

applications.

• Exposure to OT/IT network architecture and industrial cybersecurity best practices.

• Comfort with Linux, version control (Git), and containerized deployments.

Experience in a high-growth or ramping manufacturing environment.

Essential Functions & Physical Requirements

This is an onsite, factory-floor role. Reasonable accommodations may be made to enable

individuals with disabilities to perform the essential functions. The role typically requires the ability

to:

• Stand and walk on a production floor for extended periods during a shift.

• Lift and carry components, tooling, or equipment, typically up to approximately 25 lbs.

• Bend, kneel, reach, and perform fine manipulation to work on and around production equipment.

• Work in an active manufacturing environment, including exposure to noise, moving machinery, and

varying temperatures.

• Use standard personal protective equipment (PPE) as required on the factory floor.

Reasonable Accommodation

Solx provides reasonable accommodations to applicants with disabilities. If you need an

accommodation during the application or interview process, contact [email].

Solx is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive

environment for all employees. All qualified applicants will receive consideration for employment without

regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or

veteran status.