Data Operations Engineer - Contractor

United States

Applications have closed
Quest Analytics is seeking a Data Operations candidate to execute our Data ETL and Ingestion process.

In this role you will:

  • Chaperone data through ETL pipeline including Ruby, Pentaho, and Python tools 
  • Manage variability from incoming datasets and update configurations 
  • Investigate and troubleshoot issues 
  • Update code to fix issues and improve reliability and performance 
  • Answer questions about pipeline processes to other teams (liaison) 
  • Streamline processes to reduce manual steps and time required (automation) 

You will need:

  • Some general engineering work and principles in one or more languages. 
  • Practical experience using Python to analyze and manipulate data. 
  • Some familiarity with Ruby 
  • A reasonable level of professional experience working with Relational Databases and writing SQL 
  • Experience working with Excel 
  • Experience working with various data formats including Excel, CSV and JSON. 
  • Critical thinking and debugging skills. 


  • The candidate should also have an awareness of: 
  • Git 
  • NoSQL Databases such as MongoDB 
  • Interacting with Restful APIs using tools like Postman, a web browser or an IDE like VSCode. 
Job region: North America
Job country: United States
Job stats:  11  2  0

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