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Optimization Jobs in Texas (NOW HIRING)

The Optimization Engineer will support the development of new and existing optimization and forecasting algorithms and related technologies. Essential Job Functions : * Work with Vice President ...

The Optimization Engineer will support the development of new and existing optimization and forecasting algorithms and related technologies. Essential Job Functions : * Work with Vice President ...

We are looking for an Optimization Engineer located in Midland, TX . This is your opportunity to join a global technology company, driving energy innovation for a balanced planet. What's in it For ...

We are looking for an Optimization Engineer located in Midland, TX . This is your opportunity to join a global technology company, driving energy innovation for a balanced planet. What's in it For ...

They are seeking an experienced AI Optimization Engineer to apply advanced optimization and AI techniques to improve decision systems within their Applied AI Center of Excellence. Responsibilities ...

SEO Analyst

Irving, TX ยท Hybrid

$80K - $110K/yr

Apex Service Partners - SEO-Site Content Analyst Full Apex Service Partners is dedicated to leveraging the power of people. As part of our overarching mission, we are dedicated to supporting, growing ...

SEO Analyst

Irving, TX ยท Hybrid

Apex Service Partners - SEO-Site Content Analyst Full Apex Service Partners is dedicated to leveraging the power of people. As part of our overarching mission, we are dedicated to supporting, growing ...

SEO Analyst

Irving, TX ยท On-site

$80K/yr

Apex Service Partners - SEO-Site Content Analyst Full Apex Service Partners is dedicated to leveraging the power of people. As part of our overarching mission, we are dedicated to supporting, growing ...

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Optimization information

See Texas salary details

$37

$55

$76

How much do optimization jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for optimization in Texas is $55.57, according to ZipRecruiter salary data. Most workers in this role earn between $40.29 and $68.51 per hour, depending on experience, location, and employer.

What are optimization jobs?

Optimization jobs refer to roles that focus on improving systems, processes, or products to achieve the best possible performance, efficiency, or outcomes. These positions can be found in various industries, including engineering, data science, logistics, and business operations. Professionals in optimization analyze data, identify inefficiencies, and develop solutions using mathematical models, algorithms, or process improvements. Their goal is to maximize value while minimizing costs or resource use. Common job titles in this field include Optimization Engineer, Data Optimization Analyst, and Operations Research Analyst.

What is the difference between Optimization vs Data Analyst?

AspectOptimizationData Analyst
Required CredentialsOften requires degrees in mathematics, statistics, or related fields; certifications like Google Data Studio or Six SigmaTypically requires degrees in statistics, computer science, or related fields; certifications like Microsoft Excel or Tableau
Work EnvironmentPrimarily analytical, project-based, often in marketing, e-commerce, or manufacturingData-driven, reporting-focused, in various industries including finance, healthcare, and tech
Employer & Industry UsageUsed by companies aiming to improve processes, efficiency, and performanceUsed by organizations to interpret data, generate reports, and support decision-making

While both roles involve data analysis, Optimization focuses on improving processes and performance through analytical techniques, whereas Data Analysts primarily interpret data and generate reports to inform business decisions.

What are the key skills and qualifications needed to thrive as an Optimization Specialist, and why are they important?

To thrive as an Optimization Specialist, you need strong analytical skills, a background in mathematics or engineering, and experience with data-driven decision-making. Familiarity with optimization software (such as Gurobi or CPLEX), programming languages like Python or R, and relevant certifications in operations research or analytics are typically required. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for interpreting results and collaborating with stakeholders. These skills and qualities are crucial for identifying optimal solutions, improving efficiency, and delivering measurable business value.

What are some common challenges faced by professionals in optimization roles, and how can they be addressed?

Professionals in optimization roles often encounter challenges such as dealing with incomplete or noisy data, balancing multiple and sometimes conflicting objectives, and ensuring that solutions are scalable for real-world implementation. Addressing these challenges requires strong analytical skills, collaboration with domain experts, and the ability to communicate complex concepts to non-technical stakeholders. Leveraging advanced tools and staying updated with the latest optimization techniques can also enhance problem-solving capabilities and contribute to project success.
What are the most commonly searched types of Optimization jobs in Texas? The most popular types of Optimization jobs in Texas are:
What are popular job titles related to Optimization jobs in Texas? For Optimization jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Optimization jobs? Cities in Texas with the most Optimization job openings:
Infographic showing various Optimization job openings in Texas as of May 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $115,587 per year, or $55.6 per hour.
Optimization Engineer

Optimization Engineer

Tenaska

Irving, TX โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Job description

Tenaska is one of the largest privately held companies in the United States, an organization that's adept in natural gas and power marketing, power management, development and acquisition of generation assets, operation of power plants and more.
Applicants must be authorized to work for any employer in the U.S. The Company is not able to take over sponsorship of an employment visa at this time for this position or commit to doing so in the future for individuals with current authorization to work via, for example, CPT or OPT, and would need sponsorship in the future.
Position Summary:
The Optimization Engineer will support the development of new and existing optimization and forecasting algorithms and related technologies.
Essential Job Functions:
  • Work with Vice President, Strategic Technology and team to design, implement and improve optimization technologies around various energy-related problems.
  • Support research and development of new optimization algorithms and implementations when required to solve specific business problems
  • Develop necessary software for optimization and prediction models.
  • Design and build necessary systems for simulation and back-testing of optimization and prediction models
  • Develop reports to evaluate real-world performance of trained models
  • Other projects as assigned
  • Dependable, reliable, and predictable attendance is required

Knowledge, Skill, and Abilities:
  • Applicants must be authorized to work for any employer in the U.S. The Company is not able to take over sponsorship of an employment visa at this time for this position or commit to doing so in the future for individuals with current authorization to work via, for example, CPT or OPT, and would need sponsorship in the future.
  • Undergraduate degree in Physics, Mathematics, Engineering or related fields and graduate degree or equivalent professional experience in Operations Research, Electrical Engineering or related field with strong computer science training and experience.
  • Advanced-level experience with optimization tools such as CPlex, HiGHS and Gurobi.
  • Strong skills in applied computational mathematics, optimization, and simulation programming.
  • Experience with commercial and open-source power system modelling software such as Pandapower, PowerModels.jl, ETAP, PowerWorld, Plexos, etc. preferred but not required.
  • Strong experience with programming in Python with a focus on Data Science and Optimization.
  • Experience with cloud deployment, orchestration and operations of optimization models.
  • Strong background in Deep Learning algorithms as applied to optimization and control problems with specific experience in Reinforcement Learning and other training methods.
  • Experience with machine learning libraries and algorithms such as PyTorch.
  • Experience with machine learning data preparation concepts (cross validation, folding, boosting, feature engineering) with clear understanding of time series related concerns.
  • Able to quickly learn necessary skills and information to be effective in position where necessary.
  • Curious, inquisitive, creative, exploration-driven, and self-motivated with a passion for applied Machine Learning and optimization.

Benefits:
At Tenaska we care about the wellbeing of our employees and their families. That's why we offer our employees a comprehensive benefit package. Benefits included below:
  • Health, dental, vison, disability, and life insurance
  • Excellent 401(k) plan
  • Incentive-based, competitive salary packages
  • Health/dependent care flex accounts
  • Tuition assistance
  • Long-term disability coverage
  • Adoption benefits
  • Employee assistance program
  • Paid vacations and holidays
  • Charitable giving program
  • Paid maternity/paternity leave
  • Wellness programs

Tenaska is an equal opportunity employer.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.