Data Engineer

About CloudEagle

We are a well funded Y Combinator startup based in Silicon Valley with founders having deep research, product and enterprise GTM backgrounds with companies such as Box, Airbnb, Goldman Sachs. Etc. Funded by Y Combinator and several tier 1 valley VC funds. If you are looking to join a rocketship, that’s taking off, this is it !! Check us out at www.cloudeagle.ai
Cloudeagle.ai’s mission is to help citizen SaaS buyers make the best software choices in the shortest possible time, at the same time giving CIOs visibility and cost optimization. We are the only data powered ML SaaS management and buying platform.

Requirements

  • Create a scalable architecture to input data into the database from multiple sources.

  • Write various scripts to merge and input data into the MongoDB database.

  • Develop and automate large-scale, high-performance data processing systems (batch and/or streaming).
     
  • Evangelize high-quality software engineering practices towards building data infrastructure and pipelines at scale.

  • Lead data engineering projects to ensure pipelines are reliable, efficient, testable, & maintainable.

  • Design our data models for optimal storage and retrieval and to meet critical product and business requirements.

  • Understand and influence logging to support our data flow, architecting logging best practices where needed

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