Industrial Data Integration Analyst

Graham Packaging Company; United States; On-site; USD 81,500 - 122,300; Full time

Job summary

Graham Packaging Company in the United States is seeking a Systems Integration Analyst to deliver the next phase of our data platform by building API connections and moving data between industrial and enterprise systems.

You will work across IT and OT teams, develop data pipelines, and support AI and analytics initiatives, with opportunities to grow into applied AI and machine learning work.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field — or equivalent demonstrated experience.
• 2-6 years of hands‑on experience building integrations, data pipelines, or system‑to‑system connections in Python.
• Demonstrated experience working with REST APIs and SQL databases in real projects, not just coursework.
• Experience working in or with operational/industrial environments, or clear evidence of the systems mindset those environments require.
• Willingness to travel to manufacturing plant sites periodically (estimated 10-20%).

Responsibilities

• Build and maintain API integrations connecting industrial data platforms, quality databases, SQL data stores, and enterprise business systems.
• Write Python scripts and services to extract, transform, and move production and quality data reliably between systems.
• Develop and test data pipelines with proper error handling, logging, and documentation so they run without babysitting.
• Troubleshoot integration failures across the full path: source system, network, credentials, transformation logic, destination.

Skills

Python

APIs & Integrations

SQL & Databases

IT/OT Awareness

Problem Solving

AI Interest

Education

Bachelor's degree in CS/Engineering

Tools

Power BI

Job description

Graham Packaging Company in the United States is seeking a Systems Integration Analyst to deliver the next phase of our data platform by building API connections and moving data between industrial and enterprise systems.

You will work across IT and OT teams, develop data pipelines, and support AI and analytics initiatives, with opportunities to grow into applied AI and machine learning work.