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# Quantitative Data Engineer

- **Company:** Susquehanna International Group, LLP
- **Location:** Philadelphia, PA, United States
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Data Analysis, Big Data, Cloud Computing, Data Files, Python (Programming Language), NumPy, Data Streaming, Data Storage Technologies, Pandas, Kubernetes, Information Technology, Apache Kafka
- **Published:** July 17, 2026
- **Apply:** https://www.dice.com/job-detail/5f7a6853-3b81-4898-8edb-04262cb9f2ae

## About the Role

* Experience: Experience with numeric data storage methodologies. Experience with processing of large and varied data sets. Ability to understand mathematical algorithms and develop high-performance implementations Strong interpersonal and communication skills for interacting with traders, quantitative analysts, and other software developers.
 * Skills: Strong proficiency in the python data stack: NumPy, pandas, etc. and a solid understanding of Agile development methodologies. Experience with Kafka, Kubernetes and Cloud Computing is highly desired.
 * Education: PHD/MS/BS Degree in Computer Science or a related STEM field or equivalent practical experience at the senior level.
 * Interests: A keen interest in sports wagering, trading, and technology. Previous experience working within Trading, Sports Analytics or Sports Wagering industries is highly preferred.
 * Attributes: Self-motivated, detail-oriented, and able to adapt to changing priorities. Excellent interpersonal and communication skills.

What we're looking for

 * Experience: Experience with numeric data storage methodologies. Experience with processing of large and varied data sets. Ability to understand mathematical algorithms and develop high-performance implementations Strong interpersonal and communication skills for interacting with traders, quantitative analysts, and other software developers.
 * Skills: Strong proficiency in the python data stack: NumPy, pandas, etc. and a solid understanding of Agile development methodologies. Experience with Kafka, Kubernetes and Cloud Computing is highly desired.
 * Education: PHD/MS/BS Degree in Computer Science or a related STEM field or equivalent practical experience at the senior level.
 * Interests: A keen interest in sports wagering, trading, and technology. Previous experience working within Trading, Sports Analytics or Sports Wagering industries is highly preferred.
 * Attributes: Self-motivated, detail-oriented, and able to adapt to changing priorities. Excellent interpersonal and communication skills.

## Description

What You'll Do:You will play a crucial role in designing, coding, and maintaining our next gen analysis and trading platform. You will work closely with Quantitative Researchers and other developers to:

 * Source and cleanse data, develop and maintain data pipelines as required by quant research and trading
 * Assist with researching new trading opportunities.
 * Develop, maintain and deploy interactive and packaged reports that will directly influence trading strategies
 * Performance-tune existing applications and processes, improve existing codebases and data flows to allow for efficient processing of large data sets


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