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Python Commodities Jobs (NOW HIRING)

Vitol

Python Data Engineer

Houston, TX · On-site

Job Summary : Vitol is a leader in energy and commodities, providing services globally. They are seeking a talented Python Data Engineer to enhance their data assets and support analytical ...

Vitol

Python Data Engineer

Houston, TX · On-site

Company Description Vitol is a leader in energy and commodities. Vitol produces, manages and ... Contribute to our developer tools and Python ETL toolkit, including standardization and ...

Vitol

Python Data Engineer

Houston, TX · On-site

Company Description Vitol is a leader in energy and commodities. Vitol produces, manages and ... Contribute to our developer tools and Python ETL toolkit, including standardization and ...

NAVA Software Solutions

Python Developer

Houston, TX · On-site

$45.50 - $62.75/hr

Python Developer Location: Houston TX - Onsite Job Type: Full time / Direct Hire The Python ... Commodities / Energy Industry experience desired * Familiarity with containerization solutions like ...

Royal & Ross

Sr Python Developer

Houston, TX · On-site

$116K - $156K/yr

Our client is looking for a Python Developer to join their team. This is a full-time opportunity in ... Commodities/Energy Industry experience desired * Familiarity with containerization solutions like ...

Royal & Ross

Sr Python Developer

Houston, TX

$116K - $156K/yr

Our client is looking for a Python Developer to join their team. This is a full-time opportunity in ... Commodities/Energy Industry experience desired * Familiarity with containerization solutions like ...

Apex Informatics

Python Developer

Houston, TX · On-site

$46.25 - $64/hr

Python Developer Location: Houston, TX ( 3 days onsite 2 days remote) look for nearby Candidates ... Source code management - Bit Bucket/Git Experience in Financial/Commodities Trading/Investment ...

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All JobsPython Commodities Jobs

Python Commodities information

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$13

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$86

How much do python commodities jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for python commodities in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is the difference between Python Commodities vs Python Data Analyst?

AspectPython CommoditiesPython Data Analyst
Required CredentialsPython programming skills, basic data handling knowledgePython skills, data analysis certifications, SQL knowledge
Work EnvironmentTrading firms, commodities markets, financial institutionsBusiness, finance, marketing departments, consulting firms
Employer & Industry UsageFinance, commodities trading, risk managementBusiness intelligence, market research, reporting
Search & Comparison IntentUnderstanding roles in commodities trading using PythonAnalyzing data with Python for business insights

Python Commodities professionals focus on using Python to analyze and trade commodities in financial markets, often working in trading firms or financial institutions. Python Data Analysts utilize Python for data analysis, reporting, and business insights across various industries. While both roles require Python skills, their work environments and industry applications differ significantly.

What are the key skills and qualifications needed to thrive as a Python Commodities Analyst, and why are they important?

To excel as a Python Commodities Analyst, you generally need a strong background in quantitative analysis, financial markets knowledge, and proficiency in Python programming, often supported by a degree in finance, mathematics, or a related field. Familiarity with data analysis libraries (such as pandas and NumPy), SQL databases, and sometimes certifications like CFA or FRM are highly valued. Analytical thinking, problem-solving, and effective communication are important soft skills that set top performers apart. These skills and qualifications are crucial for interpreting complex market data, developing trading models, and making informed decisions in the fast-paced commodities sector.

What are Python Commodities professionals?

Python Commodities professionals are specialists who use the Python programming language to analyze, model, and automate tasks related to commodities trading and risk management. They often work with data related to commodities such as oil, gas, metals, or agricultural products, developing algorithms for pricing, forecasting, and optimizing trading strategies. Their expertise bridges both finance and technology, allowing them to build tools for data analysis, automate trading operations, and improve decision-making in the commodities markets.

How does a Python Commodities professional typically collaborate with trading and analytics teams?

Python Commodities professionals often work closely with traders, analysts, and risk managers to develop and maintain tools for pricing, risk assessment, and data analysis. On a daily basis, they may translate trading strategies into automated algorithms, streamline data pipelines, and ensure models are efficiently integrated into the trading workflow. Effective communication and understanding of both technical concepts and market dynamics are crucial, as the role frequently involves gathering requirements from non-technical stakeholders and delivering practical, scalable solutions. This collaborative environment fosters skill growth and offers exposure to both technology and commodities markets, opening paths for advancement in quantitative research or trading technology leadership.
Infographic showing various Python Commodities job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Senior Software Engineer (Python - Commodities)

Quanta Search

Chicago, IL • On-site

$125K - $168K/yr

Other

Posted 2 days ago

Job description

Our client is a trading firm with over 30 years of experience, using advanced technology and skilled people to work in markets around the world. They're based in Chicago, but have offices across the U.S., Canada, Europe, and Asia. They trade in various asset types, such as Fixed Income, Equities, ETFs, Commodities, and FX.

Your Role:

  • Collaborate with the trading team to carry out research studies, analytics, and production models designed for commodities trading.
  • Oversee Python development environment, customized specifically for data-intensive tasks.
  • Create web user interfaces for data examination and presentation of research outcomes.
  • Develop a supportive infrastructure to make trading data sets both accessible and useful.
  • Handle production workflows for real-time forecasting, modelling, and analytics within Linux compute setting.
  • Assist in back testing, the development of systematic trading strategies, and their deployment into real-time trading setting.
  • Cooperate with research infrastructure team to optimize the use of Linux computer cluster.
  • Join forces with data management teams to streamline practices for data collection, storage, and accessibility within research workflows.
  • Join a community of experts, where you can both learn and contribute to research activities across the firm. This role is based in Chicago office.

Your Skills:

  • Proven experience as a senior software engineer.
  • Solid Python expertise and a track record of working with data scientists & researchers.
  • Capability to guide researchers on the best practices in software engineering.
  • Experience in developing web-based user interfaces.
  • Experience in building and storing data in relational databases and/or NoSQL-like data stores.
  • A track record demonstrating your ability to own a product or infrastructure.
  • Experience of working alongside trading analysts & traders.
  • Familiarity with options trading.
  • Experience with either Java or C++ and in building backend infrastructure.
  • Experience in deploying systems into a real-time trading environment.
An excellent compensation package is available for the right candidate.

Apply