Remote Senior Data Engineer

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Age of Learning

πŸ’΅ $140k-$165k
πŸ“Remote - Worldwide

Job highlights

Summary

Join our Data and Analytics team as a full-time Data Engineer, supporting data products by building elegant, scalable data warehouses and evolving self-serve analytics solutions.

Requirements

  • 5+ years of data engineering experience
  • Able to leverage abstraction to solve complex problems
  • Excellent SQL, data modeling skills
  • Experience with dbt and Snowflake (or other modern data warehousing solutions)
  • Experience designing and building scalable data warehouses for access across the organization
  • Experience implementing data validation and monitoring systems
  • Excellent communication skills
  • Prior experience with communicating with technical and non-technical audience
  • Experience managing projects and delivering results within set timelines
  • Can work iteratively, defining requirements as needed

Preferred Qualifications

  • Extensive experience with DBT, Snowflake and Python
  • Experience data modeling clickstream data generated from website and app traffic
  • Experience building data systems that adhere to data government principles
  • Familiarity with DevOps practices and tools for managing data infrastructure
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
  • Understanding of machine learning and data science concepts
  • Experience working in an agile environment

Benefits

  • 90% of employee health and welfare benefits premiums & 65% of dependent benefits premiums
  • A 401(k) program with employer match
  • 15 paid vacation days (increases to 20 days on your 3-year anniversary), 11 observed national paid holidays plus 9 sick days
  • Flexible work culture means 2 or more days in the office (hybrid) or 100% fully remote options available for most positions

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