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Refinery Jobs in Spring, TX (NOW HIRING)

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 ...

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 ...

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Refinery information

See Spring, TX salary details

$31.6K

$37.3K

$42.3K

How much do refinery jobs pay per year?

As of May 31, 2026, the average yearly pay for refinery in Spring, TX is $37,322.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,800.00 and $41,800.00 per year, depending on experience, location, and employer.

What Is a Refinery?

A refinery is a massive industrial operation where a specific chemical engineering process is used to convert raw materials into usable products. One example is a refinery that turns crude oil into a range of products, such as petroleum, diesel, and heating oil. Sugar refineries take harvested cane or beets and convert the plants’ natural sugars into a crystallized form for sale in grocery stores or use in food production. Metal refineries may process a variety of metals, such as aluminum, copper, and steel, for a variety of purposes like manufacturing steel beams for use in the construction industry.

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

To thrive as a Refinery Operator, you need a solid understanding of chemical processes, mechanical aptitude, and a high school diploma or technical certification relevant to industrial operations. Familiarity with distributed control systems (DCS), process monitoring equipment, and safety protocols is typically required. Attention to detail, problem-solving, and teamwork are crucial soft skills for effectively managing operations and responding to issues. These skills and qualities ensure safe, efficient, and compliant refinery operations, minimizing risks and maximizing productivity.

What are some common challenges faced by professionals working in a refinery, and how can new employees prepare for them?

Working in a refinery often involves navigating complex equipment, adhering to strict safety protocols, and operating in a fast-paced environment. New employees may find the scale of operations and the emphasis on teamwork and communication challenging at first. To prepare, it’s important to familiarize yourself with industry safety standards, develop strong attention to detail, and be open to ongoing training. Building good relationships with more experienced colleagues can also help ease the transition and provide valuable on-the-job insights.

What do you need to work at a refinery?

To work at a refinery, candidates typically need a high school diploma or equivalent, relevant technical skills, and safety training. Certifications such as OSHA safety training or process safety management are often required, along with physical fitness and the ability to work in a hazardous environment. Prior experience in industrial or manufacturing settings can be beneficial.

What is the difference between Refinery vs Petrochemical Technician?

AspectRefineryPetrochemical Technician
Required CredentialsHigh school diploma or equivalent; technical certifications often preferredHigh school diploma or equivalent; technical certifications often preferred
Work EnvironmentOil refineries, processing units, industrial plantsPetrochemical plants, chemical processing facilities
Industry UsagePrimarily in oil refining industryIn chemical and petrochemical industries

Refinery workers focus on processing crude oil into usable products, while petrochemical technicians work in chemical plants producing plastics, fertilizers, and other chemicals. Both roles require technical skills and safety knowledge, but refinery roles are more centered on oil processing, whereas petrochemical technicians specialize in chemical manufacturing processes.

What are the most commonly searched types of Refinery jobs in Spring, TX? The most popular types of Refinery jobs in Spring, TX are:
What are popular job titles related to Refinery jobs in Spring, TX? For Refinery jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Refinery jobs in Spring, TX look for? The top searched job categories for Refinery jobs in Spring, TX are:
What cities near Spring, TX are hiring for Refinery jobs? Cities near Spring, TX with the most Refinery job openings:

Refineries Analyst

Kpler

Houston, TX

Full-time

Posted 9 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. 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.