Pay: Salary not listed in the saved posting
Work setup: Working pattern needs review — work setup source
Docker/containerization This position requires physical presence and is on-site (no remote work) Good to have
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Employment: Unconfirmed

What you’ll work on

Work with senior developers to assist in and learn all facets of data engineering and development applied to the business
Develop, code, maintain, and support production-quality components for global proprietary trading
Develop expertise in data engineering principles, Python, SQL, and high-performance finance systems

From the employer’s posting

Responsibilities Work with senior developers to assist in and learn all facets of data engineering and development applied to the business Develop, code, maintain, and support production-quality components for global proprietary trading

Work with senior developers to assist in and learn all facets of data engineering and development applied to the business Develop, code, maintain, and support production-quality components for global proprietary trading Develop expertise in data engineering principles, Python, SQL, and high-performance finance systems

Develop, code, maintain, and support production-quality components for global proprietary trading Develop expertise in data engineering principles, Python, SQL, and high-performance finance systems Collaborate with technology, software, trading, business, and accounting/finance teams

What you’ll bring

All qualifications

Core experience

Proficiency with SQL and relational database design
Knowledge of RESTful API design
Experience integrating LLMs or AI tooling into engineering workflows

Qualification wording

Proficiency with SQL and relational database design

Knowledge of RESTful API design

Experience integrating LLMs or AI tooling into engineering workflows

Tools in this posting

Python
SQL
C++
Docker
Airflow

Source

Description Our Data Engineering team designs, builds, and supports the data systems that power our proprietary trading business. This smaller, focused team works closely with software developers, traders, operations, and accounting/finance teams to make high-quality data accessible, reliable, and actionable across the firm. You will help develop production-quality pipelines, services, databases, and tools that support trading operations, reporting, research, and automation. The role offers a high degree of ownership and hands-on learning, with exposure to Python, SQL, Linux, APIs, data modeling, and financial systems. The components you work on will help ensure that critical business and trading data is accurate, timely, and dependable. Responsibilities

- Develop, code, maintain, and support production-quality components for global proprietary trading - Develop expertise in data engineering principles, Python, SQL, and high-performance finance systems - Collaborate with technology, software, trading, business, and accounting/finance teams

- BA/BS/MS in Computer Science, Computer Engineering, or equivalent experience - Strong Python skills - Proficiency with SQL and relational database design

- Strong Python skills - Proficiency with SQL and relational database design - Comfort working in a Linux environment

Good to have - C++ - Workflow orchestration (Airflow)

- Knowledge of RESTful API design - Docker/containerization - This position requires physical presence and is on-site (no remote work)

- C++ - Workflow orchestration (Airflow) - Experience integrating LLMs or AI tooling into engineering workflows

About TransMarket Group

Our mission is to bless others through the services we provide and through the generous stewardship of the wealth we create.

In the employer’s words · Read in context

Job description

View original posting ↗

Who We Are

Founded in 1980 as Aardvark Financial, TransMarket Group (TMG) is a privately held global markets proprietary trading firm in Chicago. We use next-generation technology to capture opportunities around the world and manage risk in financial markets. Our mission is to bless others through the services we provide and through the generous stewardship of the wealth we create.

TMG is a well-established and profitable business as a respected member of the global financial system for over 40 years, but also is like a startup because the potential of our group is at least one order of magnitude greater than what we are currently producing. We have an entrepreneurial culture and collaboratively develop our business with patience and discipline; we work hard, learn constantly, and relentlessly improve our expertise.

Description

Our Data Engineering team designs, builds, and supports the data systems that power our proprietary trading business. This smaller, focused team works closely with software developers, traders, operations, and accounting/finance teams to make high-quality data accessible, reliable, and actionable across the firm. You will help develop production-quality pipelines, services, databases, and tools that support trading operations, reporting, research, and automation. The role offers a high degree of ownership and hands-on learning, with exposure to Python, SQL, Linux, APIs, data modeling, and financial systems. The components you work on will help ensure that critical business and trading data is accurate, timely, and dependable.

Responsibilities

Work with senior developers to assist in and learn all facets of data engineering and development applied to the business
Develop, code, maintain, and support production-quality components for global proprietary trading
Develop expertise in data engineering principles, Python, SQL, and high-performance finance systems
Collaborate with technology, software, trading, business, and accounting/finance teams

Requirements

BA/BS/MS in Computer Science, Computer Engineering, or equivalent experience
Strong Python skills
Proficiency with SQL and relational database design
Comfort working in a Linux environment
Source control with Git
Knowledge of RESTful API design
Docker/containerization
This position requires physical presence and is on-site (no remote work)

Good to have

C++
Workflow orchestration (Airflow)
Experience integrating LLMs or AI tooling into engineering workflows
Exposure to financial markets, trading operations, or clearing
Dashboard design and data visualization

Benefits

We offer one of the most generous profit sharing programs in the industry because we believe our employees should be able to take part in our rapid growth and success. We are proud to offer more world-class benefits for our full-time employees and their families.

TransMarket Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status.

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Source & posting history

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Source notes

Source excerpts

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Pay: No pay amount identified in the saved description.
Location & working pattern: Chicago, Illinois, United States
- Docker/containerization - This position requires physical presence and is on-site (no remote work) Good to have
Work authorization: No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at job-boards.greenhouse.io ↗Read the full description ↓

Status in our records: Active
First seen by us: Sep 3, 2026
Recorded sightings: 20
Last seen by us: Oct 8, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

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Junior Data Engineer