Data Engineer
Chicago, Illinois
Onsite
Full Time
$100k - $130k
Data Engineer Role
Are you interested in data and finance? This Data Engineering role is with help enhance data products within the Data Development team located Downtown Chicago. This full-time, exempt role offers the opportunity to work on cutting-edge ETL pipelines, data warehouse architecture, and more. Reporting directly to the Head of Data Engineering, you’ll play a crucial role in developing and streamlining our data process.
Join a company where innovation thrives, and your expertise will shape the future of our trading platform. This is not just a workplace but a hub for growth, learning and work-life balance. This job offers the perfect blend of technology and finance. You will gain invaluable experience enjoy a high-energy environment and benefit from a supportive and engaging team.
Required Skills & Experience
Tech Breakdown
Daily Responsibilities
The Offer
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
Are you interested in data and finance? This Data Engineering role is with help enhance data products within the Data Development team located Downtown Chicago. This full-time, exempt role offers the opportunity to work on cutting-edge ETL pipelines, data warehouse architecture, and more. Reporting directly to the Head of Data Engineering, you’ll play a crucial role in developing and streamlining our data process.
Join a company where innovation thrives, and your expertise will shape the future of our trading platform. This is not just a workplace but a hub for growth, learning and work-life balance. This job offers the perfect blend of technology and finance. You will gain invaluable experience enjoy a high-energy environment and benefit from a supportive and engaging team.
Required Skills & Experience
- 4- year college degree or advanced degree in a quantitative field such as Mathematics, Computer Science, Economics, Physics, Statistics or Engineering
- At least 2 years of experience in a data engineering role
- Proficiency in Python, C#, SQL, AWS, PySpark
- Experience with AWS and cloud computing
- Experience in data management and ETL pipelines
- Advanced degree in quantitative field
- Experience with additional financial data tools and technologies
- Proven track record of successfully managing technical projects
Tech Breakdown
- 40% ETL Pipeline Development
- 30% Data Warehouse Architecture and Optimization
- 20% Data Quality Automation
- 10% Financial Data Analysis and Reporting
Daily Responsibilities
- 40% Hands-On Development and Automation
- 30% Technical Project and Ownership and Design
- 20% Research and Collaboration with Trading Desk
- 10% Communication and Status Updates in Daily Stand-Ups
The Offer
- Bonus OR Commission eligible
- Medical, Dental, and Vision Insurance
- Vacation Time
- Stock Options
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.