Full Stack Industry 4.0 Engineer

Job Title: Full Stack Industry 4.0 Engineer Location: Lafayette, IN Onsite Requirements: Onsite (Manufacturing Facility) Compensation Range: $40-60/hour Benefits: Available upon conversion if applicable. Introduction Our client is seeking a Full Stack Industry 4.0 Engineer to help accelerate the digital transformation of its manufacturing operations at its Lafayette, IN facility. This role will connect manufacturing equipment, enable industrial data collection, and transform machine and process data into actionable insights that improve operational performance. Working across manufacturing engineering, operations, IT/OT, and transformation teams, you'll build scalable Industry 4.0 solutions that drive smarter, data-driven decision making across the plant. Day-to-Day Responsibilities • Connect manufacturing equipment, sensors, and industrial systems to enterprise data platforms. • Collaborate with Controls Engineering and IT/OT teams to establish secure and reliable machine connectivity. • Validate machine signals, telemetry, data quality, and asset health. • Design and develop data pipelines that support near real-time and historical manufacturing analytics. • Structure, normalize, and document manufacturing data for long-term scalability and reporting. • Build dashboards, reports, and visualizations that convert operational data into actionable business insights. • Analyze manufacturing performance related to safety, quality, throughput, utilization, and equipment reliability. • Partner with Manufacturing Engineering, Operations, Quality, EHS, and IT/OT teams to align analytics with shop floor decision-making. • Lead data review sessions with plant stakeholders to identify improvement opportunities and track action items. • Develop repeatable Industry 4.0 deployment patterns and best practices that can be leveraged across multiple manufacturing sites. • Document connected assets, data definitions, reporting processes, and deployment methodologies for future sustainment. Required Skills & Qualifications Must-have qualifications that candidates must meet to be considered. • Hands-on experience connecting manufacturing equipment, industrial machines, or IIoT devices. • Strong experience acquiring, structuring, and transforming machine or process data into actionable operational insights. • Experience developing data pipelines supporting both near real-time and historical analytics. • Experience with manufacturing analytics, industrial reporting, and data visualization tools. • Ability to create dashboards and reports using platforms such as Power BI or similar visualization technologies. • Experience working within manufacturing, industrial, or plant environments. • Comfortable collaborating across Operations Technology (OT), Information Technology (IT), Manufacturing Engineering, and Operations teams. • Strong understanding of industrial data quality, validation, and normalization practices. • Excellent analytical, troubleshooting, and problem-solving skills. • Ability to work independently in a fast-paced contract environment with minimal supervision. • Strong communication skills with the ability to translate technical findings into business recommendations. Preferred Skills & Qualifications Nice-to-have skills that would make a candidate more competitive but are not required. • Experience with Industry 4.0, Smart Manufacturing, or Digital Manufacturing initiatives. • Knowledge of Industrial IoT (IIoT), machine telemetry, and manufacturing data acquisition technologies. • Experience supporting predictive maintenance, asset performance management, or process monitoring initiatives. • Familiarity with continuous improvement methodologies and manufacturing optimization programs. • Experience creating standardized deployment playbooks and repeatable implementation frameworks. • Exposure to cloud-based industrial analytics platforms and modern manufacturing data architectures. • Experience supporting enterprise-wide manufacturing transformation initiatives. Deliverables • Connected asset inventory with documented signal definitions and data quality assessments. • Initial analytics package consisting of dashboards and operational reports tied to key manufacturing objectives. • Documented data pipelines and reporting architecture suitable for knowledge transfer and future expansion. • Established cadence for operational insight reviews, stakeholder collaboration, and action tracking. Additional Information • Industry: Manufacturing • Location: Lafayette, IN • Engagement: Contract • Interview Process: ASAP – Client is actively interviewing with an expedited hiring process. • Openings: Two immediate openings. Why Join? • Play a key role in advancing a global manufacturer's Industry 4.0 transformation. • Work hands-on with connected manufacturing equipment and cutting-edge industrial technologies. • Partner with engineering, operations, and IT leaders to deliver measurable operational improvements. • Build scalable solutions that can be deployed across multiple manufacturing facilities. • Join a high-impact initiative with immediate visibility and opportunities to influence future smart manufacturing capabilities. #TECH