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Process Modeling Engineer Jobs in Hanover, MD (NOW HIRING)

In this Business Process Engineer role, you'll play a key part in documenting business processes ... Understanding of data modeling basics (entity relationships, standard metadata fields) * Ability to ...

Business Process Engineer

Washington, DC · On-site

$74K - $124K/yr

In this Business Process Engineer role, you'll play a key part in documenting business processes ... Understanding of data modeling basics (entity relationships, standard metadata fields) * Ability to ...

Fundamental experience with process modeling, material and energy balances and basic sizing ... Proficiency in Programming Additional Information All your information will be kept confidential ...

New

Perform facility fit assessments, process modeling, and Continued Process Verification statistical analysis. The CandidateMinimum Requirements * Bachelor of Science in Chemical Engineering, Chemistry ...

Partner with Engineering, Mission Assurance, Program Management, and Operations to ensure processes ... Has specialized experience in modeling business processes and requirements (using structured tools ...

Lead Process Improvement effort utilizing CMM/CMMI or other similar process models Interpret and promote the use of Process Improvement best practices * Evaluate system and software engineering ...

Showing results 21-40

Process Modeling Engineer information

See Hanover, MD salary details

$49.3K

$91.6K

$141.8K

How much do process modeling engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for process modeling engineer in Hanover, MD is $91,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,100.00 and $102,500.00 per year, depending on experience, location, and employer.

What does a process modeling engineer do?

A Process Modeling Engineer is responsible for designing, analyzing, and optimizing processes within industries such as manufacturing, chemical production, or energy. They use mathematical models and simulation software to predict how processes will perform under various conditions. By creating digital models, they help improve efficiency, reduce costs, and ensure safety and quality standards are met. Their work often involves collaborating with other engineers and stakeholders to implement improvements based on data-driven insights.

What are the key skills and qualifications needed to thrive as a process modeling engineer?

To thrive as a Process Modeling Engineer, you need a strong background in chemical or process engineering, analytical problem-solving skills, and typically a relevant engineering degree. Familiarity with process simulation software such as Aspen Plus, HYSYS, or MATLAB, and understanding of industry standards are crucial for effective modeling and analysis. Strong communication, teamwork, and project management skills help you collaborate with cross-functional teams and convey complex technical information. These skills ensure accurate process optimization, efficient project execution, and drive operational improvements in manufacturing or industrial environments.

What are some typical challenges faced by process modeling engineers when collaborating with cross-functional teams?

Process Modeling Engineers often work closely with teams from operations, R&D, and IT to develop and refine models that optimize manufacturing or chemical processes. A common challenge is translating complex technical data into actionable insights that are easily understood by non-engineering stakeholders. Effective communication and adaptability are key, as project requirements can evolve rapidly and may require balancing competing priorities. Building strong relationships and maintaining open channels for feedback help ensure that process models align with both technical standards and business goals.

What is the difference between Process Modeling Engineer vs Process Improvement Specialist?

AspectProcess Modeling EngineerProcess Improvement Specialist
Required CredentialsBachelor's in Engineering, Industrial Engineering, or related field; proficiency in process modeling softwareBachelor's in Engineering, Business, or related field; certifications like Six Sigma often preferred
Work EnvironmentEngineering teams, manufacturing plants, or R&D labsOperational teams, manufacturing facilities, or corporate offices
Employer & Industry UsageManufacturing, aerospace, automotive, and industrial sectorsManufacturing, healthcare, logistics, and service industries

The Process Modeling Engineer focuses on creating detailed process models using specialized software to optimize workflows. In contrast, the Process Improvement Specialist concentrates on analyzing existing processes and implementing improvements, often utilizing methodologies like Six Sigma. Both roles require similar educational backgrounds but differ in their primary focus and tools used.

Modeling, Simulation, and Analysis Engineer

Washington, DC • On-site

$110K - $168K/yr

Other

Posted 12 days ago


Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Modeling, Simulation, and Analysis Engineer

Full Time Washington, DC, US

10 days ago Requisition ID: 1795

Salary Range: $110,000.00 To $168,000.00 Annually

Modeling, Simulation, and Analysis Engineer

TULK is a boutique consulting firm delivering mission-focused systems integration, acquisition, engineering, analysis, and operational transition services to Defense and national-security customers. We build practical teams that connect mission needs, technology, acquisition decisions, and fielded operational effect.

Our work matters because capable technology only creates value when it is integrated, tested, supportable, and trusted by the people who use it.

The Role

Use modeling, simulation, and analysis to help decision makers understand mission effects, integration choices, capability gaps, operational risk, and the path to fielded results.

What You Will Do
  • Develop and apply mission-focused models, simulations, scenarios, experiments, and analyses that answer operational, engineering, integration, test, or acquisition questions.
  • Translate mission threads, operational effects, capability gaps, and system dependencies into analytic representations and defensible assessment approaches.
  • Design and execute scenario-based analyses; document assumptions, data inputs, limitations, verification, validation, and the confidence appropriate to the decision.
  • Work with operators, systems engineers, technical authorities, test personnel, program offices, and acquisition stakeholders to turn analysis into actionable recommendations.
  • Communicate analytic results clearly through concise decision products, briefings, visualizations, and technically sound recommendations.
Required Qualifications
  • 8+ years of relevant experience in modeling and simulation, mission analysis, operations research, systems engineering analysis, digital engineering, test and evaluation, or a closely related field.
  • Demonstrated experience creating, adapting, applying, or governing models, simulations, analytic scenarios, experiments, or decision-support analyses for complex systems or missions.
  • Demonstrated understanding of model assumptions, data quality, verification, validation, uncertainty, and appropriate interpretation of analytic results.
  • Demonstrated ability to connect analytic work to integration, test, fielding, capability, acquisition, or operational decisions.
  • United States citizenship is required.
  • Must be eligible to obtain and maintain a Top Secret security clearance.
  • Strong written and verbal communication skills, including the ability to produce concise, decision-ready technical products.
  • Applicants must provide specific examples of their personal technical delivery, including the mission or operational problem, their technical role, and the outcome.
What Makes an Application Stand Out

Show how you personally used modeling, simulation, scenario analysis, or experimentation to answer a real mission, technical, test, or acquisition question. Identify the decision, your role, the model or analytic method, the assumptions and evidence, and the resulting recommendation or outcome.

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