Senior Data Engineer - High-Frequency Trading - Chicago
**Relocation package available**
A High-Frequency Trading firm based in Chicago is seeking an adept Data Engineer to join their global team and help them architect and deploy a brand new data platform, while optimizing their existing data infrastructure and optimizing research workflows.
Responsibilities:
- Assist in architecting and deploying a brand new data platform
- Translate experimental research workflows into scalable, production-grade systems
- Help shape global data strategy
- Work with Quant Researchers and traders to unlock predictive trading insights
- Design, build, and maintain ETL/ELT pipelines with Spark, Databricks, and in-house tools
- Optimize and performance-tune research workflows
- Define and document best practices for Data Engineering
- Mentor Junior Engineers
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline
- 5+ Years of experience in Data Engineering
- Proficiency with Python Scripting
- Strong experience with Apache Spark
- Strong experience with Databricks
- Experience with Delta Lake
- Experience with Kafka
- Strong knowledge of AWS cloud-native infrastructure
- Strong knowledge of cloud cost optimization
- Proficiency with relational databases
- Strong verbal and written communication skills
