Lead Data Engineer at Mic

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 19 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, especially our engineers. 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).

  • Own how we collect, analyze, save and query data
  • Work across a variety of teams at Mic to understand data needs, including but not limited to our editorial analytics team, sales team and product managers
  • Improve how we reason with data in all phases of developing a product - from setting requirements to implementation
  • Contribute to all stages of our data platform - designing, building and launching new data initiatives
  • Support and develop our existing platform:
    • We collect and process over 300 million data points each month, using keen.io, AWS S3, AWS Redshift, AWS Lambda & MySql

Who you are:

  • 3+ years of experience in a data engineering role
  • Expert level experience with AWS Redshift or similar
  • Proficient in relational databases
  • Able to analyze data by identifying gaps and inconsistencies
  • 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
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