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Data Engineer - Remote

At Copper, we’re on a mission to transform the global publishing industry and shift the way books come to market. We’re developing the go-to platform for authors and book lovers to build community around incredible content. Has a book changed your life? If so, come transform the world with us. 

We’re a venture-backed startup growing our founding team in order to bring our product to market. This role will be instrumental in building Copper’s platform for authors and readers. As a Data Engineer, you will help ingest and provide book data to millions of users. When you meet a stranger a decade from now, you’ll be able to say you were a part of the early team that built the Copper platform.

 

What You’ll Do

  • Lead the iterations for improvement of Copper’s newly built book data architecture 
  • Leverage your existing experience in using multiple data providers to improve Copper’s search results
  • Identify opportunities to improve data quality, reliability, and efficiency
  • Become an expert on publishing industry’s data standards and patterns 
  • Work closely with a small product team to bring Copper’s vision to life

 

Who You Are

  • You have a bias toward action and a creative, entrepreneurial spirit. 
  • You thrive in a fast-paced yet supportive environment.
  • You’re detail-oriented and bring excellence to everything you do. 
  • You’re a self-starter and a team player and you thrive in a flat organization.
  • You’re a great communicator and love to celebrate the wins, big and small. 

 

How Do You Qualify

  • Thorough knowledge with implementing ETL systems
  • Apache Beam on Dataflow
  • Knowledge of Pub/Sub 
  • Experience in Java, Python, or Go
  • Experience working with an Agile team
  • Experience developing using test driven development (TDD)
  • Experience designing and implementing streaming and data applications
  • Experience deploying data pipelines in a production environment
  • Experience with distributed data and computing tools like Spark
  • Experience using cloud infrastructure like GCP, Azure, or AWS

 

Position Details
Our company is headquartered in sunny Los Angeles. We prefer candidates based in LA but are open to remote for the right person.

 

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