Senior Data Engineer

This is a remote position.

• Provide data wrangling services to make data (structured and unstructured), by transformations, normalization, and data mapping, consumable for a variety of downstream purposes such as applications, visualizations, and analytics
  
• Design and model analytical methods based on the statistical methods. Validate, test, and deploy data models and analytical products/tools
  
• Research, troubleshoot and recommend solutions to complex business and technical problems. Prepare and communicate through effective presentations and written communications
  
• Work with large data sets and identify patterns, anomalies, and propose steps for remedial actions
  
• Query and join multiple tables in SQL databases to provide data needed to support analytics and/or process improvement
  

Requirements

• 8 to 10 total years of data experience
  
• 8+ years writing complex SQL queries and performing query optimization.
  
• 3+ years of related, hands-on experience with Python, R or similar analytical programming language
  
• 3+ years’ experience in a trade-related, technology position at a financial institution
  
• Demonstrably proficient in ETL tools such as Informatica and Alteryx
  
• Knowledgeable with Jira and agile methodologies
  
• Experience developing data models and analytical products for financial services firms