Data Engineer

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Mic is a diverse news and media company for young people. Our mission is to inform, inspire, and empower our generation to make change happen. Each month, more than 65 million young people rely on Mic to make sense of the world.

At Mic, Product and Engineering is one lean team of 25+ people. We pride ourselves on constantly shipping the best products in media. Our culture is centered around allowing every team member to influence the products we build. We prize engineers who care deeply about affecting product at all points in its lifecycle. Additionally, we are big contributors to open-source development (https://github.com/micnews -- over 80 publicly available repos in the last 6 months).

 

Responsibilities:

  • Own how we collect, analyze, save and query data
  • Build Mic’s real-time data pipeline infrastructure
  • Work across a variety of teams at Mic to understand data needs, including but not limited to our editorial team, sales team and product team
  • Improve how we reason with data in all phases of developing a product
  • Support and develop our existing platform:
    • We collect and process over 500 million data events each month, using keen.io, AWS S3, AWS Redshift, AWS Lambda & MySQL
  • Building sophisticated data analytics and tools like our custom story search tool called Lexicon: Screenshot

Who you are:

  • Have 2+ years of experience in a data-centric engineering role
  • Experience with AWS Redshift or similar
  • Proficient in relational databases
  • Obsessed with data integrity
  • Possess excellent communication skills, especially surrounding data driven insights
  • Able to work both individually and cross-functionally in a fast-paced environment
  • Familiarity with social networks and their APIs a plus
  • Experience with NoSQL (DynamoDB, MongoDB, etc) infrastructure setup and management is a plus
  • You have worked with many different technologies & frameworks, can quickly evaluate a new one, and are always looking to use the right tool for the job
  • You understand getting and giving feedback (for example through code reviews) is a natural part of the work day and something you take very seriously
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Location

285 Fulton Street, New York, NY 10007

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