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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

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Required Skills and qualifications Preferred skills and qualifications
3+ years of experience with Python, SQL, and data visualization/exploration tools
Master’s degree in stats, applied math, 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 non-technical business leaders Professional certifications
Comfort working in a dynamic, research-oriented team with concurrent projects
 
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Three circles, each containing an illustration of a person. Circle on the left contains a woman. Circle on the right contains a man. Circle in the center contains a woman, marked with a green checkmark.
 A woman sitting at a desk, looking at her computer screen. A printout of graphs and charts hangs on the wall to the left of the screen.