2393 Digital Engineering Platform Engineer jobs in Chicago,IL

Bachelor's degree in Engineering, Computer Science, Data Science, Manufacturing Technology, or a related technical discipline required.
3+ years of experience in a manufacturing, process engineering, automation, or digital manufacturing environment required.
Experience working with manufacturing systems and controls environments, including PLCs (Allen-Bradley, Siemens, etc.), SCADA, historians, or IoT/sensor platforms.
Strong technical skills in Python, SQL, data integration, and enterprise systems such as SAP, ERP/MES, or comparable platforms.
Experience with Microsoft Fabric, Azure Data Factory, Power BI, Tableau, or similar data and analytics platforms preferred.
IoT and time-series data integration experience: sensor data, OPC-UA, historian systems, or equivalent.
Lean Six Sigma, continuous improvement, or operational excellence experience preferred.
Strong analytical, communication, and cross-functional collaboration skills required.

AI Principal Technical Consultant, AI Services

AHEAD

Chicago, IL 60606

Presidio Networked Solutions, LLC

Chicago, IL 60606

Ace Hardware Corporation

Oak Brook, IL 60523

10+ years of experience in systems integration engineering, with 3+ years in a formal people leadership role managing teams of 10+ FTE developers, including experience managing on/offshore staff augmentation consultants.
5+ years of hands-on experience with enterprise integration and data platform tooling, including Informatica (PowerCenter, DEI), IBM middleware (Sterling, Message Broker, APIC), Azure integration services (ADF, APIM), Hadoop, Databricks. Experience with Informatica, Hadoop and Databricks is required.
5+ years leading modernization initiatives transitioning enterprise environments from batch-processing to Event-Driven Architecture (EDA), with demonstrated emphasis on operational continuity during migration.
5+ years managing production integration systems at high volume, with a strong understanding of supply chain data requirements in a retail context; proficiency with enterprise ITSM tooling, for incident and change management.
Practical understanding of AI/ML as it applies to integration engineering - including AIOps tooling for intelligent monitoring and anomaly detection, integration patterns that support AI/ML data pipelines, and the governed use of AI-assisted development tools (including GitHub Copilot) within an engineering team.
Bachelor's degree in computer science or IS; excellent communication skills to facilitate technical alignment across IT.