Digital Manufacturing Engineer - Manufacturing Data & Automation

Location: hirify.global, 110 Norfolk Street, Walpole, Massachusetts, United States of America

Salary: USD 86,391–129,588 annually

Company

hirify.global develops and manufactures defense-related equipment and systems.

What you will do

• Develop automated methods to collect, structure, analyze, and govern data from CNC machines, assembly operations, inspection equipment, test systems, and other production assets.
• Connect shop-floor equipment and manufacturing systems through MTConnect, OPC UA, APIs, PLC interfaces, industrial gateways, MQTT, and similar technologies.
• Integrate manufacturing data with ERP, MES, PLM, QMS, SQL databases, historians, and visualization platforms.
• Analyze CNC, Renishaw, assembly, quality, test, labor, downtime, throughput, and traceability data to identify process variation, bottlenecks, defects, and productivity losses.
• Build Power BI or comparable dashboards, drill-down analytics, automated reports, and exception-based reporting for manufacturing KPIs.
• Partner with Manufacturing Engineering, Operations, Quality, Maintenance, CNC programming, and IT/OT teams to support Lean initiatives, predictive approaches, and measurable process improvements.

Requirements

• Bachelor’s degree in Manufacturing, Mechanical, Industrial, Automation/Controls, Computer Engineering, or a related technical discipline; equivalent relevant manufacturing experience may be considered.
• 3–7 years of experience in manufacturing engineering, digital manufacturing, manufacturing automation, industrial data systems, or a related manufacturing discipline.
• Understanding of discrete manufacturing operations, including machining and/or assembly, plus CNC manufacturing processes and control architecture.
• Experience collecting, analyzing, and interpreting manufacturing data.
• Experience with databases and data manipulation, preferably SQL, and with Python or another programming/scripting language for data acquisition, automation, or analysis.
• Experience developing manufacturing dashboards using Power BI or a comparable visualization platform.
• Working knowledge of OEE, utilization, cycle time, throughput, downtime, scrap, rework, first-pass yield, and labor-performance KPIs.
• Ability to work cross-functionally with Manufacturing Engineering, Operations, Quality, Maintenance, and IT/OT organizations.

Nice to have

• Renishaw probing and on-machine measurement experience, including probing cycles, dimensional verification, work-offset management, and measurement-result extraction.
• Experience with Siemens SINUMERIK, FANUC, or similar CNC controls.
• Experience integrating equipment with MES, ERP, PLM, QMS, or manufacturing historian systems.
• Experience with discrete assembly data systems, digital torque/fastening systems, test equipment, inspection systems, or electronic work instructions.
• Experience with SPC, process capability, dimensional trending, automated quality-data analysis, data pipelines, Power BI data modeling, and DAX.
• Experience in aerospace, defense, naval, or another highly regulated manufacturing environment.

Culture & Benefits

• Work across the manufacturing floor and manufacturing-data environment, combining process knowledge, equipment connectivity, data engineering, analytics, and continuous improvement.
• Collaborate with Operations, Manufacturing Engineering, Quality, Maintenance, and IT/OT stakeholders.
• Success is measured through improved manufacturing visibility, reduced manual data collection, higher equipment and labor productivity, earlier process-variation detection, stronger traceability, and improved quality, cost, delivery, and throughput.