> Markdown version of [/jobs/ext/3660783-senior-software-engineer-data-systems-quant-trading](https://www.wearedevelopers.com/jobs/ext/3660783-senior-software-engineer-data-systems-quant-trading). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Software Engineer | Data Systems | Quant Trading

- **Company:** Acquire me
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Big Data, C++ (Programming Language), Data Infrastructure, Data Systems, Distributed Systems, Python (Programming Language), Software Architecture, Standard Sql, Software Engineering, Google Cloud, High Performance Computing, Apache Spark, Data Pipelines
- **Published:** October 9, 2026
- **Apply:** https://www.disabledperson.com/jobs/75932513-senior-software-engineer-data-systems-quant-trading

## About the Role

* Strong experience building large-scale data pipelines and distributed systems
 * Excellent Python and SQL skills with strong software engineering fundamentals
 * Experience with AWS, Azure, GCP and/or HPC environments
 * Strong system design and software architecture experience
 * Experience with market data, C++, Iceberg/Delta, Spark, Trino or DuckDB is a plus

This is a high-impact opportunity to own foundational data infrastructure within a highly technical trading environment, working directly with the researchers and traders consuming what you build.

If you're a strong software engineer who enjoys solving difficult data problems at serious scale, I'd be happy to share more.

## Description

We're partnering with a renowned quantitative trading firm looking to hire a Senior Software Engineer to build the large-scale data infrastructure powering its research and trading teams.

This is a software engineering-focused data role, working on the core datasets and pipelines used by Quant Researchers and Traders across the business.

What you'll work on:

 * Building and operating large-scale data pipelines processing hundreds of terabytes to petabytes of data
 * Owning the quality, reliability, and performance of critical source data
 * Designing scalable systems to deliver data efficiently to research and trading teams
 * Optimizing pipelines to improve latency while reducing compute and storage requirements
 * Migrating existing workloads onto modern data platforms and hardware
 * Building tooling to identify and resolve data-quality issues before they impact downstream users