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Data Engineer Trading Commodities Jobs (NOW HIRING)

Vitol

Python Data Engineer

Houston, TX · On-site

... commodities to consumers and industry worldwide. In addition to its primary business of trading ... Experience with Data Engineering and building data pipelines * Experience scraping websites with ...

Trafigura

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Founded in 1993, Trafigura is one of the largest independent employee-owned commodities groups in ... Contribute to the automation of data workflows on the trading desk, reducing manual intervention ...

Trafigura Group Pte. Ltd.

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Founded in 1993, Trafigura is one of the largest independent employee-owned commodities groups in ... Contribute to the automation of data workflows on the trading desk, reducing manual intervention ...

DRW

Data Engineer, Cumberland/FICCO

Chicago, IL · On-site

$150K - $200K/yr

... we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and ... We are seeking a Data Engineer to join our trading team. This role will be responsible for ...

Amazon

Senior Treasury Dealer, Trading

New York, NY · On-site

... commodities, and equities execution. This role sits at the heart of Amazon's trading operations ... trade execution data to identify improvement opportunities, and participate in cross-regional ...

Next Step Systems

Data Engineer, Python & ETL

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer, Python & ETL, Chicago, IL A proprietary trading firm is seeking a Data Engineer, Python & ETL to join its Data Infrastructure team, to help improve and extend the data platform. This ...

Addepar

Software Engineer - Trading (OMS)

New York, NY

$107K - $168K/yr

... Engineer with a strong Java background to join our Order Management System (OMS) team in Trading ... Data & Messaging: Implement resilient integration patterns using Kafka for event streaming and ...

zerohash

Senior Engineer, Trading

New York, NY · Remote

$134K - $176K/yr

... NATS) for data distribution and persistence Benefits * Healthcare Insurance: zerohash covers ... Trade, Transact, and Tokenize. Through a single integration, customers can launch regulated crypto ...

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All JobsData Engineer Trading Commodities Jobs

Data Engineer Trading Commodities information

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$44.5K

$129.7K

$177.5K

How much do data engineer trading commodities jobs pay per year?

As of Jun 7, 2026, the average yearly pay for data engineer trading commodities in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are the main challenges Data Engineers face when working with trading commodities data, and how can they be addressed?

Data Engineers in trading commodities often grapple with integrating large volumes of real-time and historical market data from diverse sources, which can be highly unstructured or inconsistently formatted. Ensuring data quality, reliability, and low-latency access is critical for supporting trading decisions. Overcoming these challenges typically involves building robust ETL pipelines, leveraging cloud-based data platforms, and collaborating closely with quantitative analysts and traders to understand data requirements and business logic. Staying current with industry technologies and best practices is also essential for success in this dynamic environment.

What are the key skills and qualifications needed to thrive as a Data Engineer in Trading Commodities, and why are they important?

To thrive as a Data Engineer in Trading Commodities, a strong background in computer science, data modeling, and quantitative analysis is essential, typically supported by a relevant degree. Expertise with big data technologies (such as Hadoop, Spark), programming languages (like Python or Scala), and experience with commodity trading platforms or financial data systems are highly valuable. Strong problem-solving, collaboration, and communication skills help bridge gaps between technical and trading teams. These competencies are crucial for building reliable data pipelines and analytics that directly impact trading strategies and business decisions.

What does a Data Engineer in Trading Commodities do?

A Data Engineer in Trading Commodities is responsible for designing, building, and maintaining the data infrastructure that supports trading operations in commodity markets. They collect, process, and organize large volumes of market, transactional, and historical data, ensuring its quality and availability for traders and analysts. Their work enables better decision-making by providing accurate, real-time data and supporting advanced analytics, such as algorithmic trading and risk management.

What is the difference between Data Engineer Trading Commodities vs Quantitative Analyst?

AspectData Engineer Trading CommoditiesQuantitative Analyst
Primary FocusBuilding and maintaining data infrastructure for tradingDeveloping mathematical models for trading strategies
Skills RequiredData management, SQL, programming (Python, Java)Mathematics, statistics, programming (R, Python)
Work EnvironmentData teams within trading firms or banksResearch teams in hedge funds or investment banks
CertificationsNone specific, often data or IT certifications CFA, FRM, or advanced degrees in quantitative fields

While Data Engineers Trading Commodities focus on building data systems to support trading activities, Quantitative Analysts develop models to inform trading decisions. Both roles require strong programming skills, but their core responsibilities differ significantly in focus and expertise.

Infographic showing various Data Engineer Trading Commodities job openings in the United States as of May 2026, with employment types broken down into 37% As Needed, 38% Full Time, and 25% Temporary. Highlights an 95% Physical, 3% Hybrid, and 2% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Python Data Engineer

Vitol

Houston, TX • On-site

Full-time

Posted 4 days ago

Job description

Company Description
Vitol is a leader in energy and commodities. Vitol produces, manages and delivers energy and commodities to consumers and industry worldwide. In addition to its primary business of trading, Vitol is invested in infrastructure globally, with $10+billion invested in long-term assets.
Vitol's customers include national oil companies, multinationals, leading industrial companies and utilities. Founded in Rotterdam in 1966, today Vitol serves its customers from some 40 offices worldwide. Revenues in 2023 were $400bn.
Our people are our business. Talent is precious to us and we create an environment in which individuals can reach their full potential, unhindered by hierarchy. Our team comprises more than 65+ nationalities and we are committed to developing and sustaining a diverse work force. Learn more about us here.
This Role is located in Houston, TX - In office 5x a week
Job Description
We are looking for a talented and motivated Python Data Engineer to help us expand our data assets in support of our analytical capabilities in a full-time role. This role will have the opportunity to interface directly with our traders, analysts, researchers and data scientists to drive out requirements and deliver a wide range of data related needs.
What you will do:
  • Write modular, reusable components to liaise between external sources of data, internal tools and databases
  • Work with our business sponsors to drive out requirements for data ingestion and access
  • Translate business requirements into technical deliveries
  • Maintain the cleanliness and centrality of the Vitol Python codebase, while adhering to existing designs and coding conventions as much as possible
  • Contribute to our developer tools and Python ETL toolkit, including standardization and consolidation of core functionality
  • Efficiently coordinate with the rest of our global team
  • Participate in Vitol's Python development community and act as a liaison for our growing business development efforts

Qualifications
  • 7+ years of enterprise-level coding experience with Python
  • Computer Science, MIS or related degree
  • Experience with Data Engineering and building data pipelines
  • Experience scraping websites with Requests, Beautiful Soup, Selenium, etc.
  • Oracle / PL SQL development experience including stored procedures
  • Strong understating of object-oriented design, design patterns, SOA architectures
  • Past experience working in an Agile/Scrum environment
  • Proficient understanding of peer-reviewing, code versioning, and bug/issue tracking tools.
  • Familiarity with Pandas and NumPy packages
  • Strong communication skills (written and verbal)
  • Commodities/Energy Industry experience desired
  • Familiarity with containerization solutions like Docker and Kubernetes is a plus

This Role is located in Houston, TX - In office 5x a week
Additional Information
Work Environment
  • This job operates in a professional office environment. Because of the collaborative, fast-paced, and high energy nature of our business, Vitol requires team members to work from our fully-equipped office.

All your information will be kept confidential according to EEO guidelines.

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