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Industrial Engineering Technologists and Technicians

SOC 17-3026.00Job Zone 3 · Medium Preparationv.26.05

Context coveredThis framework covers quality assurance testing, statistical analysis, time-and-motion study, production scheduling, and process improvement performed by industrial engineering technologists and technicians in manufacturing and light-industrial environments across all career stages from entry-level to lead practitioner.

Sources:O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.SkillsCrosswalkSkillsCrosswalk — O*NET enrichment + adjacency index. Opens in new tab.
Emerging
Entry / Apprentice
  1. Product samples at designated checkpoints — test for basic performance characteristics under direct supervision on a manufacturing floor.
  2. Specification sheets and worker logs — read and compare against quality assurance standards with guidance from a senior technician.
  3. Statistical data from production runs — collect and enter into analytical software following established templates in a manufacturing environment.
  4. Equipment operation practices — observe and document worker performance against posted quality assurance checklists during supervised floor walks.
  5. Time-and-motion study procedures — assist in recording task durations and cycle times at assigned workstations under technician direction.
  6. Basic CAD drawings and process diagrams — interpret to locate measurement points and verify part dimensions on a production line.
  7. Production schedule reports — review to identify assigned tasks and flag anticipated delays to a supervising engineer.
  8. Standard hand tools and measuring instruments — use to perform dimensional checks on finished components following written work instructions.
  9. Industrial control software interfaces — navigate under supervision to retrieve real-time production data in a light-manufacturing setting.
  10. Quality discrepancy findings — communicate verbally and in brief written notes to the immediate supervisor at end of each shift.
Developing
Mid-level / Established
  1. Statistical quality data from multiple production shifts — compile, analyze, and summarize trends using analytical software with minimal oversight in a mid-size facility.
  2. Worker performance logs and processing sheets — review routinely and flag non-conformances to quality assurance specifications before product advances to the next stage.
  3. Time-and-motion observations — conduct independently across familiar workstations and calculate standard production rates using established industrial engineering methods.
  4. Equipment maintenance and operation records — verify compliance with quality standards by performing regular scheduled audits on the production floor.
  5. Work assignment plans — support supervisors by analyzing machine capacity data and worker output metrics to recommend task distributions for upcoming production runs.
  6. Materials requirements planning software — use to cross-reference inventory levels with production schedules and identify supply constraints in a manufacturing environment.
  7. Product test results — evaluate against specification tolerances and prepare clear written reports for engineering review using standard departmental templates.
  8. Efficiency improvement opportunities — identify by comparing observed cycle times with established benchmarks and propose corrective actions to the engineering team.
  9. CAD and CAM software — use to retrieve and mark up process drawings that support layout changes or tooling updates on the shop floor.
  10. Technical findings and quality metrics — present in team meetings using clear, organized verbal explanations tailored to production supervisors and peers.
Proficient
Senior / Expert IC
  1. Full-scope product testing programs — design and execute independently across all specified production stages to validate performance and adherence to engineering specifications.
  2. Complex statistical datasets from ongoing production — analyze using advanced analytical software to determine root causes of quality or reliability failures in a high-volume facility.
  3. Non-routine efficiency problems — resolve by applying systems analysis and operations analysis techniques to redesign work methods or rebalance production lines.
  4. Quality assurance audits — lead across multiple departments, reconciling worker logs, specification sheets, and equipment records to ensure systemic compliance.
  5. Standard production rates — establish or revise by conducting rigorous time-and-motion studies and applying inductive reasoning to account for variable operating conditions.
  6. Work assignment schedules — develop autonomously by integrating machine capacity constraints, worker skill levels, and fluctuating production demands in a dynamic manufacturing environment.
  7. Industrial control and MRP software — configure and interrogate to model production scenarios and support data-driven process improvement decisions.
  8. Cross-functional quality concerns — diagnose and communicate through well-structured technical reports and presentations delivered to engineering, operations, and management stakeholders.
  9. New measurement or testing technology — evaluate for fit with existing production systems and recommend adoption based on cost-benefit and capability analysis.
  10. Junior technicians and apprentices — guide through hands-on coaching on quality testing procedures, data interpretation, and equipment use on the production floor.
Advanced
Lead / Principal / Executive
  1. Organization-wide quality and reliability strategy — develop and champion by synthesizing production data, industry standards, and engineering best practices across a multi-line manufacturing enterprise.
  2. Industrial engineering technician teams — lead and mentor, setting performance expectations, structuring development plans, and cultivating a culture of precision and continuous improvement.
  3. Enterprise-level efficiency initiatives — direct by applying systems evaluation methods to identify systemic waste, redesign workflows, and quantify productivity gains across facilities.
  4. Capital investment decisions for production technology — inform by authoring rigorous feasibility analyses that integrate CAD/CAM capabilities, equipment ROI, and process compatibility data.
  5. Standardized work measurement and quality assurance frameworks — author and implement at organizational scale, ensuring consistency across departments, shifts, and plant locations.
  6. Production planning governance — establish by designing capacity allocation models and scheduling policies that align engineering capacity with long-range business objectives.
  7. Cross-departmental quality non-conformance patterns — investigate at root-cause level and drive corrective action programs that integrate operations, engineering, and supply chain stakeholders.
  8. Emerging analytical and industrial control technologies — evaluate, pilot, and integrate into existing production ecosystems, translating technology design concepts into operational advantage.
  9. Technical documentation and quality reporting standards — define for the organization, ensuring written outputs meet regulatory, customer, and internal audit requirements.
  10. Organizational learning in industrial engineering practice — foster by designing training curricula, leading knowledge-transfer sessions, and institutionalizing lessons learned from production improvements.

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Sources:Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab.Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab.WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab.

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Sources:Pathsmith™ Durable SkillsPathsmith™ Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
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Show O*NET source anchors59 anchors · skillscrosswalk.com

O*NET enrichment · skillscrosswalk.com

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Source anchors that ground each statement

Related titles
Industrial Engineering Technician · 3D Printing Tech (Three Dimensional Printing Technician) · Additive Manufacturing Production Technician · Additive Manufacturing Technician · Analysis Tester · Boiler Water Tester · Business Process Analyst · CAD Specialist (Computer Aided Design Specialist) · Cellophane Tester · Cloth Tester · Diagnostics Engineering Specialist · Efficiency Analyst
RAPIDS apprenticeships
0211 · Industrial Engineering Technician
O*NET skills
Reading ComprehensionCritical ThinkingActive ListeningComplex Problem SolvingMonitoringSpeakingSystems AnalysisSystems EvaluationTime ManagementJudgment and Decision MakingMathematicsOperations AnalysisWritingActive LearningInstructingTechnology DesignQuality Control Analysis
Knowledge domains
MechanicalEngineering and TechnologyProduction and ProcessingMathematicsDesignEnglish LanguageComputers and ElectronicsPhysicsPublic Safety and SecurityCustomer and Personal Service
Abilities
Problem SensitivityOral ComprehensionInductive ReasoningDeductive ReasoningNear VisionWritten ComprehensionOral ExpressionCategory FlexibilityInformation OrderingOriginality
Work styles
Attention to DetailDependabilityCautiousnessAchievement OrientationIntegrityPerseverance
Technology
Materials requirements planning logistics and supply chain softwareAnalytical or scientific softwareIndustrial control softwareComputer aided design CAD softwareDevelopment environment softwareInstant messaging softwareObject or component oriented development softwareComputer aided manufacturing CAM softwareData base user interface and query softwareDesktop publishing software
Tasks · seed anchors for statements
  1. Test selected products at specified stages in the production process for performance characteristics or adherence to specifications.
  2. Compile and evaluate statistical data to determine and maintain quality and reliability of products.
  3. Study time, motion, methods, or speed involved in maintenance, production, or other operations to establish standard production rate or improve efficiency.
  4. Read worker logs, product processing sheets, or specification sheets to verify that records adhere to quality assurance specifications.
  5. Verify that equipment is being operated and maintained according to quality assurance standards by observing worker performance.
  6. Aid in planning work assignments in accordance with worker performance, machine capacity, production schedules, or anticipated delays.
CIP education codes
15.000115.061215.061315.069915.070315.070515.150115.1503

Sources: O*NET v30.2 (CC BY 4.0), SkillsCrosswalk.com, LER.me®, Anthropic Economic Index, SAFI (Jadhav & Danve, 2026), WEF Skills Taxonomy 2021, Pathsmith™ Durable Skills Framework. © 2026 EBSCOed.