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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # data-driven Process Improvement Engineer - **Company:** CareerCircle - **Location:** Franklin, IN, United States - **Salary:** $85,010.0 - $91,998.0 - **Contract:** Temporary to permanent - **Skills:** Artificial Intelligence, Data Analysis, Big Data, Supervisory Control and Data Acquisition (SCADA), Operational Databases, Salesforce.Com, Software Manufacturing, Statistical Process Control (SPC), Test Data, Data Analytics, Data Management - **Published:** July 7, 2026 - **Apply:** https://www.careercircle.com/jobs/all/all/usa/in/franklin/a0c2c430-e637-428b-b19d-cc9726050b4f ## About the Role Dashboard Visionary Operations Innovation Positivity Communication Data Analysis Train Operation Knowledge Transfer Process Improvement Analytical Thinking Test Data Generation Software Manufacturing Artificial Intelligence Engineering Design Process Statistical Process Controls Key Performance Indicators (KPIs) Troubleshooting (Problem Solving) Supervisory Control And Data Acquisition (SCADA), * Strong proficiency in Ignition, SCADA/MES systems, or similar industrial data platforms. * Ability to interpret large datasets, historian trends, SPC charts, and machine logs. * Solid understanding of magnet-wire manufacturing, copper processing, or similar continuous-flow production environments. * Demonstrated initiative, analytical thinking, and problem-solving ability. * Effective communication and collaboration across engineering, operations, and quality. * Ability to manage multiple priorities and adapt to changing production needs. * Professionalism, positive attitude, and commitment to customer and internal service., Innovation Positivity Communication Data Analysis Train Operation Knowledge Transfer Process Improvement Analytical Thinking Test Data Generation Software Manufacturing Artificial Intelligence Engineering Design Process Statistical Process Controls Key Performance Indicators (KPIs) Troubleshooting (Problem Solving) Supervisory Control And Data Acquisition (SCADA) +0 Salesforce Developer Process Engineer Actalent Franklin, IN*Hybrid Tooling Auditing Machining Visionary Ingenuity Leadership Management Innovation Communication Collaboration Problem Solving Process Control Self-Sufficiency Electric Vehicles Project Management Production Process Process Improvement Process Engineering Process Optimization Methods Of Production Operational Efficiency Advanced Manufacturing Manufacturing Processes Artificial Intelligence Product Quality (QA/QC) Process Implementations Manufacturing Engineering Engineering Design Process Continuous Improvement Process Troubleshooting (Problem Solving) +0 ## Description We are seeking a data-driven Process Improvement Engineer who will leverage Ignition software, production data, and manufacturing analytics to identify, validate, and implement process improvements across copper magnet-wire operations. This role is ideal for an engineer who thrives behind the desk analyzing trends, building dashboards, and driving decisions through data. Approximately 80%+ of the work is digital/analytical, with the remaining time spent on the floor validating findings, supporting trials, and collaborating with operations., * Ignition Data Analysis - Build, maintain, and analyze Ignition dashboards, historian data, SPC trends, and production KPIs to identify inefficiencies, deviations, and improvement opportunities. * Process Optimization - Use data insights to recommend changes to methods, equipment settings, and process controls to improve throughput, quality, and scrap performance. * Digital Troubleshooting - Support manufacturing teams by diagnosing issues through Ignition logs, alarms, test data, and historical trends before engaging in physical troubleshooting. * Trial Design & Validation - Plan and execute controlled trials to validate process changes, new equipment, or recipe adjustments in accordance with JCP and customer standards. * Documentation & Standards - Maintain process sheets, recipes, build standards, and customer-specific reports; ensure documentation reflects current validated processes. * Continuous Improvement Projects - Lead small CI initiatives focused on reducing waste, improving stability, and enhancing product consistency. * Cross-Functional Collaboration - Partner with production, maintenance, quality, and engineering teams to translate data findings into actionable improvements. * Training & Knowledge Transfer - Develop standardized documents and train operators and technicians on new processes, recipes, or equipment changes., * Ignition data analysis, dashboards, and reporting: 40% * Troubleshooting through data & digital diagnostics: 20% * Maintaining process sheets, recipes, and documentation: 15% * Customer-specific reporting & product build documentation: 10% * Coordinating and conducting trials: 10% * Improvement audits & CI support: 5%, Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools. 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