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Decision Engineer Jobs in Colorado (NOW HIRING)

Digital Engineer

Colorado Springs, CO · On-site

$90K - $155K/yr

Develop system dependency visualizations to support architecture analysis, integration planning, and technical decision-making. * Support requirements engineering activities, including requirements ...

City Engineer

Loveland, CO · On-site

$152K - $221K/yr

The City Engineer will step into a vital leadership role as a member of the department's executive ... Interprets policies and exercises independent judgment and decision making within department.

Forward Deployed Data Engineer

Golden, CO

$118K - $142K/yr

The Forward Deployed Data Engineer works to understand workflows, data sources, data meaning, and decision needs, then translate those needs into governed data products, reusable data models ...

Act as a forward-deployed AI engineer, embedding with teams to understand workflows in detail and translate them into practical automations, copilots, agents, and decision-support tools. * Design ...

Field Engineer

Denver, CO · On-site

$68K - $85K/yr

FIELD ENGINEER ENTACT is a premier national provider of environmental, civil, and geotechnical ... Good problem solving/decision making skills. * Highly motivated, with the ability to take the ...

Field Engineer

Denver, CO · On-site

$68K - $85K/yr

FIELD ENGINEER ENTACT is a premier national provider of environmental, civil, and geotechnical ... Good problem solving/decision making skills. * Highly motivated, with the ability to take the ...

Forward Deployed Data Engineer

Golden, CO · On-site

$118K - $142K/yr

The Forward Deployed Data Engineer works to understand workflows, data sources, data meaning, and decision needs, then translate those needs into governed data products, reusable data models ...

Showing results 41-60

Decision Engineer information

What are the key skills and qualifications needed to thrive as a decision engineer, and why are they important?

To thrive as a Decision Engineer, you need strong analytical skills, expertise in data modeling, and a background in fields like operations research, mathematics, or computer science. Familiarity with decision analysis tools, optimization software (such as CPLEX or Gurobi), and programming languages like Python or R is typically required. Exceptional problem-solving abilities, communication skills, and the capacity to synthesize complex information are valuable soft skills in this role. These competencies enable Decision Engineers to develop effective solutions for complex business challenges and drive data-informed decision-making.

How does a decision engineer typically collaborate with data scientists and business stakeholders to deliver impactful solutions?

Decision Engineers frequently act as a bridge between technical teams and business stakeholders. In a typical workflow, they collaborate with data scientists to understand the underlying data models and analytical outputs, then work closely with business leaders to translate these insights into actionable strategies. This often involves facilitating discussions to clarify business objectives, ensuring analytical approaches align with end goals, and iteratively refining solutions based on feedback. Strong communication and project management skills are essential, as Decision Engineers must synthesize complex information and drive consensus among diverse teams.

What is a decision engineer?

Decision Engineers are professionals who apply analytical, mathematical, and computational techniques to help organizations make data-driven decisions. They often use tools from operations research, data science, and systems engineering to evaluate complex options, optimize processes, and predict outcomes. Their work enables businesses to solve challenging problems, improve efficiency, and minimize risks in decision-making processes.

What is the difference between Decision Engineer vs Data Scientist?

AspectDecision EngineerData Scientist
Required credentialsBachelor's or master's in engineering, analytics, or related fieldsBachelor's or master's in statistics, computer science, or related fields
Work environmentFocus on designing decision models, algorithms, and optimization processesFocus on analyzing data, building predictive models, and extracting insights
Employer and industry usageUsed in industries like manufacturing, finance, and logistics for decision automationCommon in tech, finance, healthcare for data analysis and modeling

Decision Engineers primarily develop decision models and optimize processes to improve business outcomes, while Data Scientists analyze data to generate insights and predictive models. Both roles require strong analytical skills, but Decision Engineers focus more on decision automation and operational efficiency, whereas Data Scientists focus on data analysis and modeling.

What job categories do people searching Decision Engineer jobs in Colorado look for? The top searched job categories for Decision Engineer jobs in Colorado are:
What cities in Colorado are hiring for Decision Engineer jobs? Cities in Colorado with the most Decision Engineer job openings:

Digital Engineer

GXM Technologies LLC

Colorado Springs, CO • On-site

$90K - $155K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Job description

Description:

GXM is seeking a Digital Engineer to join our team to support advanced defense and space-related mission programs focused on Command and Control (C2), mission systems integration, cloud modernization, and enterprise capability delivery.


The selected candidate will support development and maintenance of digital engineering artifacts that enable system visualization, architecture analysis, requirements management, and technical baseline governance across complex mission environments. The Digital Engineer will leverage Model-Based Systems Engineering (MBSE) tools and methodologies to develop digital representations of mission systems, interfaces, data flows, and operational architectures.


This role requires close collaboration with architects, systems engineers, software developers, cybersecurity personnel, and mission stakeholders to ensure technical decisions, system dependencies, and requirements are accurately represented and traceable throughout the system lifecycle.


This role is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, program execution needs, and achievement of objectives.


Responsibilities

  • Develop and maintain Model-Based Systems Engineering (MBSE) models supporting mission systems, enterprise capabilities, and operational architectures.
  • Create and manage digital architecture models representing system relationships, interfaces, data flows, and operational dependencies.
  • Develop system dependency visualizations to support architecture analysis, integration planning, and technical decision-making.
  • Support requirements engineering activities, including requirements decomposition, allocation, validation, and management.
  • Establish and maintain traceability between requirements, architecture products, system components, interfaces, and mission capabilities.
  • Support development and management of technical baselines across hardware, software, data, infrastructure, and operational environments.
  • Collaborate with systems engineers, architects, and technical teams to ensure digital engineering artifacts accurately reflect system implementations and architectural decisions.
  • Support architecture reviews, technical assessments, model governance activities, and engineering working groups.
  • Maintain engineering documentation, model repositories, and digital artifacts supporting program execution and modernization efforts.
Requirements:
  • U.S. Citizen with active TS/SCI clearance.
  • Bachelor's degree in Engineering, Systems Engineering, Computer Science, Information Systems, or related technical discipline.
  • 5+ years of experience supporting systems engineering, digital engineering, MBSE, or architecture development activities.
  • Experience utilizing MBSE tools such as Cameo, MagicDraw, Sparx Enterprise Architect, or similar modeling platforms.
  • Experience developing architecture models, engineering artifacts, requirements relationships, and technical documentation.
  • Familiarity with systems engineering principles, architecture frameworks, and digital engineering methodologies.
  • Experience supporting requirements management, traceability, and technical baseline development.
  • Strong analytical, problem-solving, communication, and stakeholder engagement skills.
  • Experience working within Agile, DevSecOps, or modern engineering environments.

Desired Qualifications

  • Experience supporting defense, space, intelligence, or multi-domain operational environments.
  • Familiarity with DoD Digital Engineering Strategy, MBSE methodologies, or SysML-based modeling approaches.
  • Experience supporting Command and Control (C2) systems, mission systems, or enterprise modernization initiatives.
  • OCSMP, INCOSE ASEP/CSEP, Cameo certification, or equivalent digital engineering certification preferred.

$90k-$155k salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO


Equal Employment Opportunity / Legal Disclaimer

GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other legally protected status. GXM Technologies LLC provides reasonable accommodations in accordance with applicable law. This job description is not intended to be a complete list of duties and responsibilities, which may change at any time with or without notice. Employment is at-will where permitted by law, meaning either the employee or the Company may terminate employment at any time, with or without cause or notice, subject to applicable legal requirements.