Data Engineer

Overview

The Fixed Income & Commodities Data team is looking for a Data Engineer (4+ years of experience) who will work on the acquisition, accessibility, normalizing, and cataloging of large sets of data.

Responsibilities

• Create and maintain optimal data pipeline architecture.
• Extract, transform, and load data from a wide variety of data sources using Python and SQL.
• Provide users access to datasets using REST and Python APIs.
• Categorize, catalog, cleanse, and normalize datasets.
• Communicate effectively with business users and technology stakeholders.
  
  

• 4+ years of relevant experience in data engineering or a closely related field.
• Strong Python skills and experience with data analysis libraries (Pandas, NumPy, SciPy).
• Hands-on relational SQL database development experience.
• Unix/Linux experience.
• Bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
  
  

• Object-oriented languages: Java, C++, etc.
• AWS cloud services: EC2, RDS, Athena, Lambda, etc.
• RDBMS: SQL Server and PostgreSQL.
• Identity and Access Management: Kerberos, OAuth 2.0, LDAP.
• Other technologies: Apache HTTP Server, Kafka, Snowflake.
• Broad understanding of credit, fixed income, derivatives, futures, FX, or other financial instruments.
  
  

• Excellent listening and communication skills (both oral and written).
• Self-starter and critical thinker; takes ownership of projects and suggests improvements to the broader infrastructure.
• Proactive, assertive, and attentive to detail.
• Able to work both independently and collaboratively.
• Comfortable handling multiple projects with competing priorities in a fast-paced environment.
• Strong self-management and problem-solving skills.
• Quick learner.