Industrial Data Engineer

Industrial Data EngineerPosition Type Full Time Education Level 4 Year DegreeDescriptionEssential ResponsibilitiesManufacturing Technology SystemsServe as the primary technical owner for industrial data systems supporting bottle manufacturing operations.Maintain deep functional knowledge of Forming Technology systems, gob distribution systems, IS machine controls, servo systems, and associated process data.Support all bottle inspection technologies including hot-end, cold-end, dimensional, stress, cosmetic, check detection, sidewall inspection, finish inspection, and vision-based inspection systems.Ensure manufacturing technology platforms operate reliably and provide accurate production information.Coordinate troubleshooting efforts between Operations, Engineering, Automation, Quality, and external equipment suppliers.Lead technology assessments and recommendations for future manufacturing technology investments.Industrial Data ArchitectureDevelop and maintain industrial data pipelines from machine controls, PLCs, inspection systems, historians, MES platforms, and manufacturing databases.Design and maintain integrations between manufacturing systems and enterprise platforms.Ensure production data is accurately collected, transformed, validated, and stored within designated enterprise repositories.Develop enterprise standards for industrial data acquisition, naming conventions, asset hierarchy, and system integration.Establish scalable industrial data models supporting future analytics and artificial intelligence initiatives.Monitor data quality, completeness, latency, and system reliability.Manufacturing Analytics & Operational IntelligenceDevelop dashboards, KPIs, scorecards, and reporting solutions supporting manufacturing operations.Analyze forming performance, inspection results, reject trends, downtime patterns, efficiency losses, and quality defects.Create automated reporting systems providing visibility into operational performance.Perform trend analysis and predictive modeling to identify opportunities for process optimization.Translate complex manufacturing datasets into actionable information for operational leadership.Develop root cause analysis methodologies supported by production data.Inspection Technology & Quality AnalyticsSupport the implementation, optimization, and utilization of all bottle inspection technologies.Analyze inspection data to identify recurring quality issues, production shifts, cavity-specific defects, and machine-related performance concerns.Develop automated defect monitoring and early-warning systems.Validate inspection system performance against known standards and production requirements.Build reporting structures that improve defect visibility and accelerate corrective actions.Work closely with Quality and Manufacturing teams to improve product quality and reduce customer risk.MES, ERP, and Manufacturing Systems IntegrationSupport integrations between operational technology systems and enterprise business systems.Assist in the development and maintenance of MES functionality, manufacturing reporting structures, and production transaction logic.Validate production and equipment data feeding enterprise systems.Support reconciliation of production reporting, consumption reporting, and manufacturing performance metrics.Identify gaps between operational processes and system design and develop recommendations for improvement.Continuous Improvement & InnovationLead industrial data and manufacturing technology improvement initiatives.Research emerging industrial technologies, machine learning applications, artificial intelligence solutions, and smart manufacturing platforms.Work with equipment suppliers to stay current on advances in glass manufacturing technology.Identify opportunities to automate manual processes through technology integration and advanced analytics.Support future Industry 4.0 initiatives and digital transformation programs.Cross-Functional CollaborationPartner with Manufacturing, Quality, Engineering, Maintenance, Supply Chain, Inventory Control, and Information Technology teams.Act as the technical liaison between equipment vendors and internal stakeholders.Support training of operational teams on manufacturing technology systems and reporting tools.Communicate findings, trends, and recommendations to leadership teams.Translate manufacturing challenges into structured data and technology solutionsQualificationsRequirements: Education, Skills & CertificationsEducationBachelor's degree in Engineering, Computer Science, Information Systems, Data Engineering, Industrial Engineering, Automation Engineering, Manufacturing Engineering, or related discipline preferred.Equivalent combination of education and demonstrated industrial experience may be considered.ExperienceMinimum 5 years of experience supporting manufacturing technology, industrial automation, industrial data systems, or manufacturing analytics.Experience working within a manufacturing environment required.Glass manufacturing experience strongly preferred.Experience integrating industrial equipment, PLCs, machine controls, inspection technologies, or SCADA systems preferred.Technical SkillsStrong understanding of industrial data architecture and manufacturing systems integration.Experience with SQL Server, database design, and data modeling.Experience with Power BI, reporting platforms, and manufacturing analytics.Experience working with MES, ERP, SCADA, Historian, and Industrial IoT systems.Understanding of OPC-UA, MQTT, API integration, and industrial communication protocols.Experience developing manufacturing dashboards and KPI reporting systems.Ability to analyze large datasets and identify actionable business insights.Understanding of machine vision systems and automated inspection technologies preferred.Experience with Python, Azure Data Services, Microsoft Fabric, or cloud data platforms preferred.Professional SkillsExcellent communication and interpersonal skills.Strong analytical and problem-solving abilities.Ability to work effectively in a fast-paced manufacturing environment.Strong project management and organizational capabilities.Demonstrated ability to manage multiple priorities simultaneously.Committed to continuous improvement and operational excellence.Success ProfileMaintains stable and reliable industrial data environments.Provides accurate and trusted manufacturing reporting.Enables improved production performance through data-driven insights.Develops scalable industrial data solutions supporting business growth.Successfully integrates manufacturing technologies with enterprise systems.Improves visibility into production, quality, and operational performance.