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Decision Engineer Jobs in Raleigh, NC (NOW HIRING)

Duke Energy

Engineer II

Raleigh, NC · Hybrid

Contributes to team decision-making in the accomplishment of business goals and objectives through ... Conducts engineering and related studies; projects and assignments are clearly defined with focus ...

Town of Clayton

Project Engineer

Clayton, NC · On-site

$81K/yr

Provides engineering design, analysis, and oversight for capital improvement programs, ensuring ... Provides technical guidance, mentorship, and decision-making support to capital project staff and ...

Align Technology

Engineer, Product Security

Raleigh, NC · On-site

Strong analytical, problem-solving, and decision-making skills. * Demonstrated ability to manage ... engineering. Pay Transparency If provided, base salary or wage rate ranges are the range in which ...

Kognitiv Edge

Data Engineer III

Durham, NC · On-site

... decision can carry enormous consequences. We are a team of builders, problem-solvers, and ... Kognitiv Edge is seeking aData Engineer IIIto lead the design, development, and evolution of the ...

Three Point Solutions

Embedded Software Engineer

Cary, NC · On-site

$60 - $64/hr

... decision-making • Troubleshoot and improve software/system performance • Work on small to mid-scale engineering projects • Ensure compliance with engineering standards and best practices Work ...

DPR Construction

MLOps Engineer

Raleigh, NC

Our team integrates cutting-edge technologies into the construction process to streamline operations, enhance decision-making, and drive efficiency at all levels. We are looking for a MLOps Engineer ...

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All JobsDecision Engineer JobsDecision Engineer Jobs in Raleigh, NC

Decision Engineer information

See Raleigh, NC salary details

$35.5K

$104.3K

$133.7K

How much do decision engineer jobs pay per year?

As of Jun 23, 2026, the average yearly pay for decision engineer in Raleigh, NC is $104,286.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $132,200.00 per year, depending on experience, location, and employer.

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.

What engineers make $300,000 a year?

Senior engineers in fields such as software, data, or systems engineering can earn $300,000 or more annually, especially with extensive experience, specialized skills, and leadership roles. High compensation often includes bonuses, stock options, or profit sharing, particularly in technology companies or startups.

What engineers make $500,000?

Senior engineers in fields such as software, data, or systems engineering can earn $500,000 or more annually, especially with experience, advanced skills, and leadership roles. High compensation often includes base salary, bonuses, and stock options, particularly in technology companies or startups.

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 are Decision Engineers?

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.

Is AI replacing ECE jobs?

Decision engineers and other ECE-related roles are increasingly using AI tools to analyze data and optimize systems, but AI is generally seen as a complement rather than a replacement for human expertise. Many ECE jobs require specialized knowledge, problem-solving skills, and hands-on experience that AI cannot fully replicate. The integration of AI may change job responsibilities but is unlikely to eliminate the need for skilled engineers in the foreseeable future.

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 makes $10,000 a month without a degree?

A Decision Engineer typically earns a high income through expertise in data analysis, modeling, and decision-making processes, often requiring strong analytical skills and experience rather than formal degrees. Such roles may be found in industries like finance, consulting, or technology, and often involve working with advanced tools and software. Achieving a monthly income of $10,000 usually depends on experience, skill level, and the specific employer or project scope.
What are popular job titles related to Decision Engineer jobs in Raleigh, NC? For Decision Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Decision Engineer jobs in Raleigh, NC look for? The top searched job categories for Decision Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Decision Engineer jobs? Cities near Raleigh, NC with the most Decision Engineer job openings:
Decision Engineer jobs near you

AI / Machine Learning Engineer Leaders and Decision-Makers for Workflow Management Tools - USA

Prolific Academic Ltd

Raleigh, NC • On-site, Remote

$200/hr

Full-time

Posted 5 days ago

Job description

IT & IT Operations Leaders and Decision-Makers for Workflow Management ToolsAbout Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We are inviting experienced professionals in software engineering, product management, and UX/product design leadership roles to participate in upcoming research projects focused on workflow management tools and development processes. We are particularly interested in individuals who are involved in evaluating, selecting, purchasing, or making decisions about workflow management tools within their organizations.

If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for our research tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to share your expertise with researchers and organisations who need real-world People Ops insight.

Researchers looking for your skills tend to pay up to $200 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

This opportunity is open to professionals who:

  • Hold a Manager-level position or above
  • Work in Software Engineering, Software Development, Product Management, or UX/Product Design
  • Currently use, or are actively considering using, workflow management tools
  • Participate in decision-making regarding development, product, or workflow management tools within an organization

Please note: This is a "bench" model. By verifying your credentials, you gain eligibility for research opportunities as they become available. Access is based on project demand and professional profile matching.

What you'll bring
  • Manager-level experience or higher in software engineering, product management, or product design functions
  • Experience evaluating, selecting, implementing, or managing workflow management tools
  • Familiarity with software development, product development, or design workflows
  • Involvement in purchasing decisions, tool selection, budgeting, or strategic recommendations related to development and collaboration tools
What you'll be doing in the role
  • Complete a paid screener to help us assess your background and suitability for specific research tasks
  • Participate in AI-moderated interviews/written tasks
  • Complete qualitative surveys and feedback activities
  • Share insights about workflow management practices, tool selection, and organizational needs
Key Technologies
  • Direct experience with tools such as Jira, Linear, Azure DevOps, GitHub Projects, GitLab Issues/Boards, Shortcut, Asana, ClickUp, or Monday.com is required.
Why Prolific is a great platform to join as a Participant

Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.

When you're ready to start, simply click on the link below:

Start the registration here!

Or copy and paste this link: https://app.prolific.com/register/participant/waitlist/?campaign_code=C4X667WC

Links to more information on Prolific

Website

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.