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Decision Engineer Jobs in Texas (NOW HIRING)

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Decision Engineer information

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.

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 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 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 are popular job titles related to Decision Engineer jobs in Texas?

For Decision Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Decision Engineer jobs in Texas look for?

The top searched job categories for Decision Engineer jobs in Texas are:

What cities in Texas are hiring for Decision Engineer jobs?

Cities in Texas with the most Decision Engineer job openings:

Decision Engineer jobs near you
Infographic showing various Decision Engineer job openings in Texas as of August 2026, with employment types broken down into 84% Full Time, 12% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Engineering Tools & Analytics Engineer

Sol-Ark, LLC

Allen, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

Job description

Location:

This position will be onsite at our warehouse in Allen, Texas (Dallas-Fort Worth area).

Full-time W-2 ONSITE opportunity (not remote)!

Work Eligibility: 
  • Candidates must be legally authorized to work in the United States without requiring employer-sponsored visa sponsorship now or in the future.
  • Candidates must have permanent work authorization in the United States. Sol-Ark does not provide visa sponsorship, including but not limited to F-1 CPT, F-1 OPT (including STEM OPT), H-1B, or any other employment-based visa requiring future sponsorship.
About the Position: 

We are seeking an Engineering Tools & Analytics Engineer to develop internal engineering applications, data platforms, and analytics capabilities. This is a critical position for the company and the proper candidate will enjoy industry-leading benefits and work environment shared with top notch talent, as well as opportunities for growth and self-development in one of the industry's highest growth companies. 

This position will work with engineering, manufacturing, and quality teams to build tools and dashboards that improve data visibility and decision making. The ideal candidate will have strong software development and data engineering skills, with experience aggregating and analyzing engineering and manufacturing data.

Responsibilities:     
  • Develop internal engineering applications and automation tools.
  • Build databases and APIs for engineering data.
  • Aggregate manufacturing, test, and field telemetry.
  • Create dashboards and health metrics.
  • Analyze reliability trends and product quality.
  • Develop automated reporting and alerting. Support engineering teams with data-driven decision making.
Qualifications:  
  • Bachelor's or Master's in Computer Science, Data Engineering, Electrical Engineering, or a closely related field.
  • Proficiency with Python and experience building internal tools and automation.
  • Experience with databases, APIs, and data aggregation pipelines.
  • Familiarity with dashboard and visualization tools.
  • Understanding of manufacturing, test, and field data workflows.
  • Strong analytical and problem-solving abilities, with keen attention to detail.
  • Ability to work independently, prioritize tasks, and meet project deadlines. Excellent communication skills and ability to collaborate with multidisciplinary teams.
Preferred Experience:  
  • Experience with SQL, Git, and cloud or on-prem data platforms.
  • Knowledge of reliability analysis and product quality metrics. 
  • Experience supporting engineering teams in a hardware or manufacturing environment.
Benefits:  

We offer a competitive salary and performance-based bonus program, medical, dental, vision, accidental, FSA, HSA, Paid Time Off (PTO), and 401(k). ­­

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