Senior Data Engineer

Senior Data Engineer Proprietary Trading Firm in Chicago Up to $180,000 + Attractive Bonus

We are partnered with a top US trading firm who are looking for a Senior Data Engineer to join their team in Chicago. They are a cutting-edge trading firm focused on market-making using proprietary low-latency technology and data-driven strategies.

The Data Engineering team plays a foundational role in building and maintaining systems that power the firm’s data infrastructure across the company, including trading and research.

This will be a hybrid role requiring 2-3 days a week office attendance in downtown Chicago.

What will you be doing?

Architect and scale the data platform to support real-time and batch processing for analytics and trading.

Collaborate cross-functionally with Traders, Quants, and Engineers to build impactful, high-performance data pipelines.

Use technologies like Kubernetes (EKS), Kafka (MSK), Databricks/Spark, and Delta Lake in a hybrid-cloud environment.

Implement SLAs and validation for data quality, availability, and accuracy.

Write clean, tested, and documented code with a strong emphasis on mentoring and leadership.

What are we looking for?

5+ years of software development experience

Strong in Java/Scala (Python a plus)

Hands-on with AWS, Spark, Kafka, Kubernetes, and modern data platforms (e.g., Delta Lake, Trino)

Skilled in building scalable batch/streaming systems

Previous financial services experience, ideally in a trading firm is preferred but not essential.

BS/MS/PhD in Computer Science, Engineering, Physics, Math, or equivalent technical field