Senior Data Engineer

Belvederetrading; Chicago (IL); On-site; USD 90,000 - 130,000; Full time

Job summary

Belvedere Trading is seeking a Senior Data Engineer in Chicago, focused on collaborating with trading desks to enhance trading performance. This role requires a robust data architecture and high data quality for analytical trading datasets.

The ideal candidate will have experience with big data warehouses, ETL pipelines, and be proficient in SQL and Python. The company promotes diversity and offers support for licensing certifications.

Qualifications

• Experience designing and developing big data warehouses and ETL pipelines.
• Proven knowledge of SQL and Python.
• Demonstrated ability to navigate and integrate data across multiple platforms.

Responsibilities

• Work with traders to understand analytic needs.
• Design and maintain a modular data architecture.
• Ensure high data quality for analytical datasets.

Skills

SQL

Python

BigQuery

ETL pipelines

Data warehousing

Kafka

Flink

Spark

Job description

Company Overview

Belvedere Trading is a leading proprietary trading firm headquartered in downtown Chicago. Our traders work hard to provide liquidity to the market through market‑making activities and master a diverse set of commodities, interest rates, exchange‑traded funds (ETF), and equity index options. The company invests heavily in proprietary technology and builds systems from the ground up to stay at the forefront of the industry.

Role Overview

Senior Data Engineer working directly with trading desks to improve trading performance. The role focuses on ensuring data availability, breadth, and reliability to support better trading decisions. The engineer will architect robust and scalable analytical solutions with minimal guidance.

Responsibilities

• Work with traders to understand analytic needs and improve trading performance.


• Design and maintain a modular data architecture to facilitate and scale future analysis.


• Ensure high data quality for all analytical trading datasets.


• Hold other team members to data standards, including modular design, testing, and documentation.


• Hold other team members to visual standards, including modular design, testing, and documentation.


• Ensure technical solutions are simple and scale well for future use cases.

Qualifications

• Experience designing and developing big data warehouses and ETL pipelines.


• Proven knowledge of SQL and Python.


• Demonstrated ability to navigate and integrate data across multiple data platforms, including RDBMS, NoSQL, and time‑series.


• Experience with real‑time messaging systems such as Kafka, Kinesis, Pulsar, and with developing a stream processing framework such as Flink or Spark (a plus).


• Proficiency in crafting high‑performance BigQuery queries and optimizing for efficiency and scalability.


• Excellent verbal and written communication, analytical, and problem‑solving skills.

Licensing Requirements

For trading positions and certain engineering roles, the SIE and Series 57 licenses are required. Belvedere Trading will provide comprehensive study materials and dedicate time during onboarding to help you obtain these certifications.

Diversity and Inclusion

Women and underrepresented groups are encouraged to apply. No candidate is perfect; all have a lot to offer.

Equal Opportunity Statement

Belvedere is an Equal Opportunity Employer, committed to providing a non‑discriminatory employment environment for its employees and applicants.

Contact

Any questions regarding the virtual recruiting process, please reach out to [e-mail].

Work Schedule

Regular and reliable attendance during standard business hours with the ability to be on‑site prior to the start of business on occasion.

Travel

None.