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Data Engineer Trading Commodities Jobs (NOW HIRING)

Next Step Systems

Data Engineer, Trading

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer, Trading, Chicago, IL A proprietary trading firm is seeking a Data Engineer with Trading experience to join its Data Infrastructure team, to help improve and extend the data platform.

VC5 Consulting

Python Data Engineer

Houston, TX

Background in financial trading, commodities, oil and gas, or a large banking/financial services ... Location: Houston, Texas 77098 If you are a Python Data Engineer with deep financial or energy ...

Belvedere Trading

Senior Data Engineer

Chicago, IL

$150K - $200K/yr

... commodities, interest rates, exchange-traded funds (ETF), and equity index options. From the ... A Senior Data Engineer will work directly with on-desk staff to architect robust and scalable ...

Belvedere Trading

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

... commodities, interest rates, exchange-traded funds (ETF), and equity index options. From the ... A Senior Data Engineer will work directly with on-desk staff to architect robust and scalable ...

Belvedere Trading

Senior Data Engineer

Chicago, IL · On-site

$150K - $200K/yr

... commodities, interest rates, exchange-traded funds (ETF), and equity index options. From the ... A Senior Data Engineer will work directly with on-desk staff to architect robust and scalable ...

DRW

Python Software Engineer, Trading Platform

New York, NY · On-site

$150K - $180K/yr

... Commodities and Energy across all major global markets. We have also leveraged our expertise and ... Solid understanding of data structures * Strong verbal and written communication skills * Must care ...

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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.
Data Engineer, Trading

Data Engineer, Trading

Next Step Systems

Chicago, IL • On-site

$118K - $141K/yr

Full-time

Medical, Retirement, PTO

Posted 10 hours ago

Job description

Data Engineer, Trading, Chicago, IL
A proprietary trading firm is seeking a Data Engineer with Trading experience to join its Data Infrastructure team, to help improve and extend the data platform. This position will work closely with fellow software engineers and DBAs to make impactful contributions to Python, database, and web-based systems. Successful applicants for this position will be working in an agile project management process on a wide variety of projects including ETL tasks, data quality analysis, data modelling, monitoring, and automation.
Qualifications:
- Bachelor's Degree from a 4-year university.
- Computer Science, Information Science or related technical field.
- Strong GPA (3.5 or higher).
- Core proficiency in Python, preferably on a Linux platform.
- Solid knowledge of object-oriented programming and design.
- Experience with relational databases, preferably Microsoft SQL Server.
- Experience with SQL query writing, stored procedures, data models, etc.
- Experience with data analysis, ETL, and workflow automation.
- Experience with web development (with Python, Node.js, etc.) is a plus.
- Excellent communication skills.
- Demonstrated problem-solving skills and attention to detail.
- Experience in finance or trading is a definite plus.
- A self-motivated personality with a passion for working in a fast-paced environment.
Benefits include medical insurance, retirement plan, PTO, etc. Salary: 80K+ DOE. Keywords: Chicago IL Jobs, Data Engineer Trading, Python, Linux, MS SQL Server, SQL Query Writing, Stored Procedures, Data Models, ETL, Programmer Analyst, Programming, Software Developer, Trading, Financial, Chicago Recruiters, Information Technology Jobs, IT Jobs, Chicago Recruiting
Company Will Relocate Candidates!
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We help companies that are looking to hire Data Engineers, Trading for jobs in Chicago, Illinois and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Phone 630-428-0600 ext 11 or email us at jobs@nextstepsystems.com. Click here to submit your resume for this job and others.
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