Operations Industrial Engineer lll

DHL eCommerce

Florida

Ibrido

USD 90.000 - 120.000

Tempo pieno

2 giorni fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

401k with company match
Medical, Dental, Vision
Paid Time Off
Tuition Reimbursement
Employee Discount Program
Life Insurance
Short/Long-Term Disability

Descrizione del lavoro

DHL eCommerce in Florida is hiring an Industrial Engineer III to drive operational excellence across the supply chain. You will develop labor models, perform time studies, and optimize layouts while leveraging Python, SQL, data visualization, and optimization models to turn data into actionable insights.

The role emphasizes scalable, data-driven solutions over manual planning, with collaboration across Operations, Transportation, Automation, and other teams to balance cost and efficiency.

Competenze

  • Bachelor’s degree in industrial engineering required.
  • 3 years relevant experience, including internships or project experience.
  • Proficient with SQL, Python, simulation, and Lean tools; familiarity with Power BI is a plus.
  • Proficient with Gurobi or other optimization software.
  • Proficient with MS Excel, MS PowerPoint, and Visio/AutoCAD.
  • Lean Six Sigma Yellow Belt or equivalent preferred.

Mansioni

  • Develop labor models, conduct time studies, optimize PUD/First/Last Mile designs and station layouts.
  • Create labor, fleet, and equipment models aligned with forecasted volumes and service commitments.
  • Evaluate route optimization technologies, routing algorithms and operational processes.
  • Design scalable first mile and last mile operating models including depot, station, annex, micro-fulfillment.
  • Build and maintain cost models evaluating labor, transportation, fleet, and facility trade-offs.
  • Develop business cases and track ROI for engineering initiatives.
  • Engage in data visualization and reporting to inform stakeholders; use SQL for data extraction.
  • Support continuous improvement initiatives and cross-functional collaboration.

Conoscenze

SQL
Python
Data analysis
Lean Six Sigma Yellow Belt
Excel
Power BI
Process improvement
Time studies
Optimization thinking

Formazione

Bachelor’s degree in industrial engineering
Basic MOST certification or equivalent

Strumenti

Gurobi
Power BI
AutoCAD
Visio

Descrizione del lavoro

DHL eCommerce


Equal Opportunity Employer/Disability/VET


Location: Florida, Weston (FLL)


Job Brief

As an Industrial Engineer III at DHL eCommerce, you will drive operational excellence across our supply chain by combining data-driven analysis with Gemba observations to identify and implement scalable solutions.


At DHL, our people are our greatest asset! Everyone’s contribution drives us to be the world's #1 logistics company.


Certified as a Great Place to Work, we're dedicated to fostering a positive, collaborative, and supportive environment for all. Our commitment and engagement with Our People ensure we continuously build a workplace we're all proud of. Plus, with competitive compensation and exceptional perks, we make sure your personal life shines just as brightly as your career.


JOB SUMMARY:


As an Industrial Engineer III at DHL eCommerce, you will drive operational excellence across our supply chain by combining data-driven analysis with Gemba observations to identify and implement scalable solutions. In this role, you will develop labor models, conduct time studies, optimize sort plans and facility layouts, and leverage Python, SQL, data visualization, and mathematical optimization models to turn complex data into actionable insights.


This position emphasizes building and deploying optimization models—rather than relying on manual planning—to deliver scalable solutions that balance cost, flexibility, and efficiency. The team is positioned to optimize the supply chain and deliver corporate-level impact. You will work closely with Operations, Transportation, Automation, and other cross-functional teams. Together, you will drive strategic improvements that enhance performance and support growth.


ESSENTIAL DUTIES & RESPONSIBILITIES


  • Engineering Support: Provides strategic engineering expertise to optimize and design Pickup & Delivery (PUD), First Mile, Last Mile, and broader supply chain operations, driving cost, service, and network performance improvements.

  • Pickup & Delivery Optimization: Analyze and improve PUD route structures, territory design, stop density, dispatch planning, route balancing, and delivery productivity.

  • First & Last Mile Network Design: Develop scalable first mile and last-mile operating models, including depot, station, annex, and micro-fulfillment requirements.

  • Capacity & Resource Planning: Create labor, fleet, and equipment models aligned with forecasted volumes and service commitments.

  • Transportation & Routing Engineering: Evaluate route optimization technologies, routing algorithms, and operational processes.

  • Facility & Process Design: Support station and depot design, dock operations, sortation flow, staging layouts, and dock-to-truck processes.

  • Contingency & Peak Planning: Develop operational continuity plans, surge capacity models, and peak-season deployment strategies.

  • Network Cost Modeling: Build and maintain cost models evaluating labor, transportation, fleet, facility, and operational trade-offs.

  • Performance Analytics: Monitor cost per stop, stops per route, route adherence, pickup compliance, and vehicle utilization.

  • Traditional Industrial Engineering Tasks: Engage in traditional Industrial Engineering tasks including staff planning models, productivity improvement, work methods and measurement standards, best practice identification, standardized process maintenance and procedure documentation, sort plan optimization.

    • Conducts time-studies, identification and description of process deviations, identification and implementation of best practices


  • Ergonomics & Safety: Evaluate and improve workstation and material handling ergonomics to reduce risk of injury, enhance employee safety, and support productivity through data-driven assessments and best practices.

  • Advanced Root Cause Analysis: Conduct advanced root cause analysis on metrics to enhance cost effectiveness and operational efficiency

  • Performance Analysis: Analyzes reports and data related to engineering performance identifying and documenting deviations (e.g., service performance, quality, cost per unit, pieces per hour).

  • Identifies and documents process/product/profile deviations per customer/process/distribution center on a regular basis

  • Data Visualization: Develop insights through analysis and visualization with data to inform and influence stakeholders.

  • SQL Proficiency: Uses SQL for basic data extraction and analysis to support engineering studies and reporting.

  • Layout Optimization: Identifies opportunities for layout-optimization and implement best practices through time studies and process analysis of existing distribution centers

  • Business Case Development: Develop business cases and track ROI for engineering initiatives.

  • Continuous Improvement: Utilize continuous improvement methodology; assess key performance indicators; establish project objectives; drive short- and long-term strategic plans to meet critical timelines.

  • Stakeholder Collaboration: Actively supports internal and external stakeholder collaboration. Build relationships with Operations, Automation, and cross-functional teams to ensure alignment and buy-in for engineering initiatives.

  • Tools Application: Applies transportation and industrial engineering tools including SQL, route optimization and network modeling platforms, GIS and mapping tools, Power BI/Tableau, Lean methodologies (VSM, 5S), time and motion studies, labor planning models, simulation, and process standardization.

  • Innovation: Stay current with innovations and analytical advancements, providing thought leadership in choosing the right algorithm for solving business problems.

  • AI Initiative Support: Contribute to AI-driven initiatives by generating ideas, assisting with vendor evaluations, supporting implementation efforts, and driving continuous improvement to ensure solutions align with operational and business objectives.


EDUCATION AND/OR EXPERIENCE:



  • Bachelor’s degree in industrial engineering required.

  • Experience in applying transportation engineering, routing technologies, network modeling, and operational optimization tools to improve Pickup & Delivery performance preferred.

  • 3 years relevant experience, which includes internships, project experience or practical training.

  • Basic MOST certification or equivalent is preferred but not required.

  • Proficient with SQL, Python, simulation, and Lean tools; familiarity with visualization tools such as Power BI is a plus.

  • Proficient with Gurobi or other optimization software.

  • Demonstrated proficiency in MS Excel, MS PowerPoint, comfort in Visio and/or AutoCAD.

  • Lean Six Sigma Yellow Belt or equivalent preferred but not required.


REQUIREMENTS/SKILLS


  • Change Management - Develops workable implementation plans; Communicates changes effectively

  • Analytical Capability - Synthesizes complex or diverse information; Collects and researches data; Design workflows and procedures

  • Problem Solving - Identifies and resolves business problems in a timely manner

  • Project Management - Develops project plans; Coordinates projects; Manages project team activities

  • Judgment - Exhibits sound and accurate judgment; Supports and explains reasoning for decisions

  • Presentation/Communication Skill - Speaks and writes clearly and persuasively

  • Interpersonal Skills - Easily develop positive relationships across all levels in organization. Can create buy-in and lead effectively in positions without explicit authority.

  • Communication - Ability to successfully communicate via verbal or written method with multiple levels of employees.

  • Learning Agility – Demonstrates adaptability and eagerness to learn new tools and processes.

  • Initiative – Takes proactive steps to identify and solve problems.

  • Technical Proficiency - Proficiency with manipulating large data sets, data analysis and modeling software (Excel, Python, etc.).

  • Data-Driven Decision Making - Develop and analyze business and technical data and scenarios to drive executive decisions around operational changes.


PHYSICAL DEMANDS


  • Physical demands are consistent with professional office setting.

  • Regular sitting at workstation for 50-75% of the work shift.

  • Travel up to 10% or as needed.


As a leading logistics company in one of the fastest growing industries, at DHL eCommerce, we offer our employees, and their dependents benefits and incentives to make them successful at work and home.



  • Competitive Pay

  • Bonus Programs

  • Retirement Savings - 401k with company match

  • Medical, Dental, Vision, Well-being programs

  • FSA/HSA availability

  • Tuition Reimbursement

  • Paid Time Off including vacation and sick time

  • Company Paid Holidays and Floating Holidays

  • Paid Parental Leave

  • Employee Discount Program

  • Employee Assistance & Work Life Program

  • Short Term and Long-Term Disability

  • Life Insurance


To be considered for this role, applicants must be legally authorized to work in the United States and not require employer sponsored work authorization now or in the future.


We are committed to equal opportunity and reject any forms of discrimination. The basis for employee selection at DHL Group is qualification, performance, skills and experience.


Equal employment opportunity, including veterans and individuals with disabilities.


PI288250004

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