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.