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Refinery Operations Jobs in Texas (NOW HIRING)

The Process Safety Engineer supports refinery operations by identifying, assessing, and reducing process safety risks across multiple operating units. This role partners with operations, leadership ...

Coordinate with site personnel to safely access equipment, schedule inspections, and understand operational constraints. * Communicate inspection findings clearly and professionally to refinery staff ...

Coordinate with site personnel to safely access equipment, schedule inspections, and understand operational constraints. * Communicate inspection findings clearly and professionally to refinery staff ...

Coordinate with site personnel to safely access equipment, schedule inspections, and understand operational constraints. * Communicate inspection findings clearly and professionally to refinery staff ...

Monitor market fundamentals, supply-demand balances, refinery operations and pricing dynamics. * Generate business opportunities consistent with the company's commercial and trading objectives.

Bachelor's degree or 5 years equivalent experience in refinery operations. * Knowledge and experience in Bluebeam Revu and Microsoft Visio. * Understand and ability to read P&IDs and other Schematics

Monitor market fundamentals, supply-demand balances, refinery operations and pricing dynamics. * Generate business opportunities consistent with the company's commercial and trading objectives.

Communicate with operations and environmental personnel regarding CEMS-related questions and issues ... Refinery experience in instrumentation or analytical work. * Intermediate proficiency with ...

Showing results 41-60

Refinery Operations information

See Texas salary details

$9

$22

$45

How much do refinery operations jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for refinery operations in Texas is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $14.33 and $25.77 per hour, depending on experience, location, and employer.

What are some common challenges faced in refinery operations and how are they typically addressed?

One common challenge in refinery operations is managing the complexity of processes while maintaining strict safety and environmental standards. Operators must constantly monitor equipment and adjust parameters to optimize production, often responding quickly to changing conditions. Effective communication and teamwork are essential, as operators frequently collaborate with maintenance, engineering, and safety teams to troubleshoot issues. Regular training and adherence to established protocols help mitigate risks and ensure smooth operations.

What is the difference between Refinery Operations vs Refinery Maintenance Technician?

AspectRefinery OperationsRefinery Maintenance Technician
Required CredentialsHigh school diploma or equivalent; technical certifications often preferredHigh school diploma; technical certifications or vocational training
Work EnvironmentControl rooms, plant floors, and process areasMaintenance workshops, plant floors, and equipment areas
Employer & Industry UsageRefineries, petrochemical plants, energy companiesRefineries, petrochemical plants, industrial facilities

Refinery Operations focus on managing and controlling the refining process, ensuring safety and efficiency, while Refinery Maintenance Technicians handle equipment repairs and upkeep. Both roles are essential in the refinery industry and often work closely together to maintain smooth plant operations.

What are refinery operations?

Refinery operations involve the processes and activities required to convert crude oil into usable products such as gasoline, diesel, jet fuel, and other petrochemicals. This includes tasks like distillation, cracking, blending, and treating to remove impurities and produce high-quality fuels and chemicals. Operators monitor and control equipment, ensure safety and environmental compliance, and perform routine maintenance to keep the refinery running efficiently. The goal of refinery operations is to maximize output while minimizing costs and environmental impact.

What do you do as a refinery operations?

Refinery operations involve overseeing the process of converting crude oil into usable products like gasoline, diesel, and jet fuel. This role includes monitoring equipment, adjusting process parameters, ensuring safety protocols, and maintaining efficiency using control systems and instrumentation. Workers often operate 24/7 shifts and require technical skills and safety certifications.

What are the key skills and qualifications needed to thrive in refinery operations, and why are they important?

To thrive in Refinery Operations, you need a solid understanding of chemical processes, mechanical systems, and safety protocols, often supported by a degree in engineering or relevant technical certifications. Familiarity with process control systems, distributed control systems (DCS), and safety management tools is typically required. Strong problem-solving skills, attention to detail, and effective teamwork set outstanding operators apart. These skills and qualifications are crucial to ensure safe, efficient, and compliant refinery operations in a highly regulated and complex environment.
What cities in Texas are hiring for Refinery Operations jobs? Cities in Texas with the most Refinery Operations job openings:
Infographic showing various Refinery Operations job openings in Texas as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $46,805 per year, or $22.5 per hour.

Commodities Quant Analyst

Verition Group LLC

Houston, TX • On-site

Full-time

Posted 20 days ago


Job description

Verition Fund Management LLC ("Verition") is a multi-strategy, multi-manager hedge fund founded in 2008. Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading.
We are a leading multi-strategy hedge fund, is seeking a Quantitative Analyst to join a commodities-focused investment pod in Houston. This is a highly research-oriented role working directly alongside an experienced Portfolio Manager to develop differentiated investment signals using alternative data and quantitative research techniques. The successful candidate will combine a strong foundation in statistics, financial modeling, and Python with a genuine curiosity for uncovering new sources of alpha. Rather than focusing on software engineering, this individual will spend their time researching markets, identifying unique datasets, testing hypotheses, and developing predictive signals that can be incorporated directly into the investment process.
A significant portion of the role will involve sourcing, analyzing, and modeling alternative datasets related to global commodity markets. This includes working with data such as crude oil vessel tracking (AIS), shipping and freight activity, pipeline flows, refinery operations, storage and inventory data, weather, satellite imagery, and other non-traditional datasets. The objective is to transform raw information into robust, statistically validated signals that provide a measurable investment edge.
Responsibilities:
  • Developing financial time series models and predictive forecasting techniques across energy and commodity markets.
  • Researching, evaluating, and incorporating alternative datasets into the investment process.
  • Designing, testing, and validating alpha signals through rigorous statistical analysis and backtesting.
  • Building research pipelines to clean, organize, and analyze large structured and unstructured datasets.
  • Leveraging AI and machine learning techniques to improve feature engineering, accelerate research, and identify differentiated investment opportunities.
  • Collaborating with the Portfolio Manager to rapidly prototype new ideas and continuously refine investment models as market dynamics evolve.

Qualifications:
  • Python and the broader scientific computing ecosystem, including libraries such as Pandas, NumPy, SciPy, and scikit-learn.
  • Financial time series analysis, statistical modeling, feature engineering, and hypothesis testing.
  • Backtesting frameworks, predictive modeling, and signal evaluation.
  • Machine learning techniques and modern AI tools, including large language models, to accelerate quantitative research.
  • SQL, cloud-based data platforms, and experience working with large-scale structured and unstructured datasets.