Data Engineer

Chicago, IL

Our ideal candidate will have experience with storing, transforming, and modeling data with an eye for the end-customer and quality, is a natural collaborator.

IN THIS ROLE, YOU WILL

• Develop data ingestion processes using Python, SQL, and Spark. 
• Design and build services to improve data acquisition and data analysis.
• Design data models for a wide variety of internal and external datasets. 
• Collaborate with data scientists and data providers to understand requirements and onboard data sets.
• Maintain alerting systems to ensure smooth day-to-day operations for datasets. 
• Investigate and resolve data pipeline issues.
• Document solutions and best practices.

WHAT YOU’LL BRING 

• Bachelors/master’s degree in computer science or a related field. 
• Strong analytical, data, and programming skills (Python/SQL/NoSQL). 
• 2+ years of experience developing and optimizing pipelines using a technology like Airflow, Luigi, or Oozie.
• 1+ years of experience with cloud technologies (AWS / Azure / Google Cloud). 
• Experience with large data sets and techniques to architect them for performance. 
• Ability to understand and contribute to our existing data system software.
• Experience with Kubernetes and Docker or Podman is a plus.
• Aptitude for designing infrastructure, data products, and tools for Data Scientists a plus.
• Financial industry experience is a plus. 
• Strong oral and written communication skills; most importantly, must be a team player.