You might hire a data engineer to:

  • Work with data to solve business problems, building and maintaining the infrastructure to answer questions and improve processes

  • Help streamline data science workflows, adding value to product offerings and building out customer lifecycle and retention models

  • Work closely with the data science and business intelligence teams to develop data models and pipelines for research, reporting, and machine learning

  • Be an advocate for best practices and continued learning

Required skills and qualifications Preferred skills and qualifications
Three or more years of experience with Python, SQL, and data visualization/exploration tools
 Master’s degree (or equivalent) in statistics, applied mathematics, or related discipline
Familiarity with the AWS ecosystem, specifically Redshift and RDS
 Experience building or maintaining ETL processes
Communication skills, especially explaining technical concepts to nontechnical business leaders
 Professional certification
Comfort working in a dynamic, research-oriented team with concurrent projects