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Data Engineer

Where you can make an impact:

  • Ideate, propose, and implement systems to create useful data for insights, predictions, and to help consumers manage their money more effectively.
  • Educate Nerds about how to use and manage data in powerful ways.
  • Increase trust in data, and make it easy to use.
  • Participate in on-call rotation

Must have:

  • Deep understanding of message-oriented / asynchronous, batch, and restful systems, and of databases, caches, and files. Especially on Linux and AWS.
  • Proficient in Python, but we’ll work it out if you’re a master in Golang or Java.
  • Experience with any of the following data products: Snowflake, Superset, Looker, Mode, Tableau, Amplitude, EMR, Redshift.
  • Experience with scheduling tools, such as Airflow.
  • Can speak SQL well, with an understanding of how query execution works under the covers.
  • Solid communication skills in writing with offshore and influencing others.
  • A bias for thoughtful action.


Great to have:

  • Experience in data management practices, such as defining and validating quality, latency, metadata, and lineage goals.
  • Experience with spark, flink, and python analytics tooling like pandas, numpy, scipy.
  • Experience in FinTech or general financial services.

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