System Integrator
$150,000–$200,000 year
HybridDallas, Texas, United States
Job Summary
Design, develop, and maintain integrations between manufacturing systems, enterprise applications, databases, and cloud platforms. Partner with operations, engineering, and business stakeholders to translate requirements into scalable solutions and develop reliable data exchange processes. Troubleshoot integration issues affecting manufacturing operations and design robust error handling, monitoring, and recovery workflows. Collaborate with cross-functional teams to support strategic initiatives while evaluating technical feasibility and estimating project timelines. Travel approximately 20–30% to manufacturing facilities for project implementations and commissioning activities. This hybrid role connects operational technology with information technology to improve data flow, automation, and business intelligence across multiple production facilities.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical discipline (or equivalent combination of education and experience)
- 5+ years of experience developing automation solutions and system integrations within industrial or manufacturing environments
- Experience working with manufacturing control systems and SCADA platforms
- Hands-on experience with Siemens PLCs and AVEVA System Platform (or comparable industrial automation platforms)
- Strong programming experience with: Microsoft .NET / C#
- Microsoft SQL Server
- REST APIs
- Experience integrating enterprise business systems with operational technologies
- Strong written and verbal communication skills
- Travel approximately 20–30%, primarily during the first year, to support manufacturing facilities, project implementations, and commissioning activities
- Candidates should reside within commuting distance of one of the company's major operating locations
Desired Qualifications
- Experience working with ERP platforms such as SAP or similar enterprise systems
- Knowledge of industrial networking, communications protocols, and field devices
- Experience integrating laboratory instrumentation, manufacturing equipment, or other industrial devices
- Understanding of statistical process control (SPC), regression analysis, process capability studies, and data analytics
- Exposure to AI-powered development or automation tools
- Experience supporting enterprise-wide manufacturing technology initiatives
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