Data Engineer

Minimum 5 years orchestrating the infernal symphony of data engineering ideally in the underworlds of credit, lending, or fintech
A degree in Computer Science, Engineering, Mathematics, or similar the higher your academic arcana (Masters, PhD), the deeper you drink from the chalice of power
Proficiency in the dark tools of the craft: Spark, Airflow, Snowflake, DBT, Kafka you summon them with but a whisper
Languages: You speak SQL and Python as fluently as others breathe. Your dominion is the Google Cloud Platform
A masters eye for data architecture, infrastructure, and modeling your blueprints dont just guide systems; they enslave them
Bonus dark magic: Familiarity with credit data, risk models, and forbidden scrolls like FCRA and ECOA

Ascend. Or be forgotten
The hourglass empties. The throne of data is vacant. Take your place among the elite or rot in obscurity with the rest of the spreadsheet vermin.


Contact Chelsea Fisher on