1

Linear Programming Jobs in Texas (NOW HIRING)

Practical experience using industry-standard Linear Programming software (Aspen PIMS, AVEVA Unified/Spiral, or Haverly GRTMPS) is essential to be functional in this role. * Comfortable with Python ...

Practical experience using industry-standard Linear Programming software (Aspen PIMS, AVEVA Unified/Spiral, or Haverly GRTMPS) is essential to be functional in this role. * Comfortable with Python ...

Senior Data Engineer, Python

Houston, TX · On-site +1

$109K - $131K/yr

Collaborate with reservoir and operations teams to translate complex scheduling and logistics problems into mathematical models (e.g., linear programming, resource allocation). * Implement numerical ...

GFT is seeking a Linear (Pipeline) Design Engineer to join our Water/Wastewater Team in any of our Texas offices . This role follows a hybrid work model, requiring regular attendance in the office.

GFT is seeking a Linear (Pipeline) Design Engineer to join our Water/Wastewater Team in any of our Texas offices . This role follows a hybrid work model, requiring regular attendance in the office.

GFT is seeking a Linear (Pipeline) Design Engineer to join our Water/Wastewater Team in any of our Texas offices . This role follows a hybrid work model, requiring regular attendance in the office.

GFT is seeking a Linear (Pipeline) Design Engineer to join our Water/Wastewater Team in any of our Texas offices . This role follows a hybrid work model, requiring regular attendance in the office.

GFT is seeking a Linear (Pipeline) Design Engineer to join our Water/Wastewater Team in any of our Texas offices . This role follows a hybrid work model, requiring regular attendance in the office.

GFT is seeking a Linear (Pipeline) Design Engineer to join our Water/Wastewater Team in any of our Texas offices . This role follows a hybrid work model, requiring regular attendance in the office.

GFT is seeking a Linear (Pipeline) Design Engineer to join our Water/Wastewater Team in any of our Texas offices This role follows a hybrid work model, requiring regular attendance in the office.

GFT is seeking a Linear (Pipeline) Design Engineer to join our Water/Wastewater Team in any of our Texas offices . This role follows a hybrid work model, requiring regular attendance in the office.

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... Guides students through proving linear independence, constructing orthonormal bases via Gram ...

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... Guides students through proving linear independence, constructing orthonormal bases via Gram ...

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... Guides students through proving linear independence, constructing orthonormal bases via Gram ...

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... Guides students through proving linear independence, constructing orthonormal bases via Gram ...

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... Guides students through proving linear independence, constructing orthonormal bases via Gram ...

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... Guides students through proving linear independence, constructing orthonormal bases via Gram ...

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... Guides students through proving linear independence, constructing orthonormal bases via Gram ...

next page

Showing results 1-20

Linear Programming information

See Texas salary details

$41.5K

$66K

$92.2K

How much do linear programming jobs pay per year?

As of Jun 17, 2026, the average yearly pay for linear programming in Texas is $66,014.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,500.00 and $82,500.00 per year, depending on experience, location, and employer.

What jobs pay $10,000 a month without a degree?

Jobs related to linear programming, such as data analysts, operations managers, or supply chain consultants, can pay $10,000 or more monthly without a formal degree if they have strong analytical skills, experience, and proficiency with optimization tools. Many of these roles focus on problem-solving, software tools like Excel or specialized optimization software, and industry experience rather than formal education credentials.

What careers use linear programming?

Linear programming is used in careers such as operations research analysts, supply chain managers, financial analysts, and industrial engineers. These roles involve optimizing processes, resource allocation, and decision-making using mathematical models and tools like Excel Solver or specialized software. Strong analytical skills and knowledge of optimization techniques are essential in these fields.

What jobs pay 2000 a day?

High-paying jobs related to linear programming often include roles such as quantitative analysts, management consultants, or senior data scientists, especially in finance, consulting, or technology sectors. These positions typically require advanced skills in optimization, programming, and data analysis, and may involve long hours or project-based work to reach such daily earnings.

What is a Linear Programming job?

A Linear Programming job involves using mathematical optimization techniques to maximize or minimize a particular objective, such as cost reduction or resource allocation, under a set of given constraints. Professionals in this field work with mathematical models, algorithms, and software tools like Python, MATLAB, or specialized solvers. These jobs are common in industries like logistics, finance, operations research, and data science, where efficient decision-making is critical.

What are the key skills and qualifications needed to thrive in the Linear Programming position, and why are they important?

To succeed in a Linear Programming role, you need strong mathematical and analytical skills, typically supported by a degree in operations research, mathematics, or a related quantitative field. Familiarity with optimization software such as CPLEX, Gurobi, or MATLAB, along with programming knowledge in Python or R, is often required. Excellent problem-solving abilities, attention to detail, and clear communication are valuable soft skills in this position. These skills and qualities are crucial for effectively modeling, analyzing, and solving complex optimization problems that drive organizational decision-making.

What jobs pay $500,000 a year in the US?

In the field of linear programming and related quantitative roles, high-paying jobs such as quantitative analysts, data scientists, and operations research managers can reach or exceed $500,000 annually, especially with experience, advanced skills in optimization, and working in finance, consulting, or technology sectors. These roles often require strong analytical skills, programming knowledge, and advanced degrees like a master's or Ph.D. in a related field.

What are the typical responsibilities of someone working in a Linear Programming role?

Professionals specializing in Linear Programming are responsible for developing mathematical models to optimize processes such as resource allocation, scheduling, or logistics. Their daily tasks often include collecting and analyzing data, formulating objective functions and constraints, coding and testing optimization algorithms, and interpreting solutions for practical implementation. Collaboration with cross-functional teams such as data analysts, engineers, and business stakeholders is common to ensure models accurately address real-world challenges. By transforming large and complex datasets into actionable insights, these professionals play a key role in improving efficiency and supporting data-driven decisions across industries.

What are the most commonly searched types of Linear Programming jobs in Texas? The most popular types of Linear Programming jobs in Texas are:
What cities in Texas are hiring for Linear Programming jobs? Cities in Texas with the most Linear Programming job openings:
Infographic showing various Linear Programming job openings in Texas as of June 2026, with employment types broken down into 3% As Needed, 55% Full Time, 17% Part Time, 5% Temporary, 17% Contract, and 3% Nights. Highlights an 65% Physical, 5% Hybrid, and 30% Remote job distribution, with an average salary of $66,014 per year, or $31.7 per hour.

Full-time

Posted 26 days ago


Job description

At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors.

Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 700 experts from 35+ countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success.

Your future position

Kpler's Oil & Chemicals business unit is rapidly advancing its real-time analytics and is looking for a technically sharp, data-literate Refineries Analyst to join its growing global team.

In this role, you will take absolute ownership of the data integrity, maintenance, and quality control of our bottom-up refinery models. You will synthesize Kpler's industry-leading proprietary data-including live crude flows, production, pipeline volumes, and inventory levels-into a cohesive modeling framework, utilizing our internal Linear Programming (LP) model as a core tool for tuning and optimization. By connecting upstream inputs and offline events with real-world refinery capacities and yields, you will ensure our models seamlessly integrate into Kpler's broader Supply & Demand balances.

Because you are joining us during an ambitious product expansion, you will play a foundational role in the evolution of our platform. This is a truly hybrid-minded position where you will serve as the subject matter expert bridging the gap between physical market reality and technical architecture-partnering closely with our Product Engineering team to build, refine, and validate our most sophisticated fundamental datasets.

Your mission is to:

  • Maintain data integrity, capacity, and offline event records for individual refinery models and regional balances, utilizing the internal Linear Programming model for tuning.

  • Prioritize the validation and improvement of existing models; data quality and domain expertise are the critical drivers for this role.

  • Lead the effort to backtest and guide models using external data sources (EIA, JODI, IRR, ANP) to ensure outputs align with physical market realities.

  • Apply a deep understanding of distillation, reforming, FCC, and blending to optimize refinery circuit views and regional supply/demand dynamics.

  • Source and leverage large datasets using Python, PostgreSQL and  to automate data flows and improve model accuracy.

  • Collaborate with Data, Product, Engineering, and Sales teams to provide insights for refineries product development.

  • Respond to internal and external data requests and client queries in a timely manner.

Experience & Background

Essential:

  • At least 3-5 years of experience as a Refinery Economist, Refining Analyst,  LP Modeler or related roles.

  • A deep understanding of physical refinery unit operations (Distillation, Reforming, FCC, Blending, etc.) and refinery economics (flows, pricing, regulations, and arbitrage dynamics).

  • Practical experience using industry-standard Linear Programming software (Aspen PIMS, AVEVA Unified/Spiral, or Haverly GRTMPS) is essential to be functional in this role.

  • Comfortable with Python and PostgreSQL

  • Proven experience sourcing and leveraging external data (EIA/JODI/IRR) to model refineries.

  • Strong background in data-driven modeling, validation, and managing input data integrity (e.g., capacity and offline events).


Desirable:

  • Experience with refinery optimization, especially with a focus on circuit-wide views.

  • Experience with data visualization.

  • Past experience contributing to SaaS product or data improvement initiatives.

  • Experience in leveraging AI tools (Claude, Cursor, etc) for data analysis & management, and general workflow optimization

Behavioural Competencies:

  • Ownership of day-to-day work and strong attention to detail.

  • Self-starter, thrives in an ambitious, early-stage product environment without requiring direct supervision.

  • Eagerness to invest significant time in individual refinery tuning and bottom-up modeling.

  • Driven to find data to backtest and guide models.

  • Client-facing confidence.

Qualifications

  • Bachelor's degree in a technical or quantitative field, with proven experience applying modeling techniques in commercial or research environments

We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head-on. If you thrive on customer satisfaction and turning ideas into reality, then you've found your ideal destination. Are you ready to embark on this exciting journey with us?

We make things happen

We act decisively and with purpose, going the extra mile.

We build together

We foster relationships and develop creative solutions to address market challenges.

We are here to help

We are accessible and supportive to colleagues and clients with a friendly approach.

Our People Pledge

Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team.

Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job