Data Engineer — Production ETL for AI-ready Legal Data
Posted
Summary
Own and run the data pipelines behind a legal knowledge base: process user-uploaded documents, extract text from scanned files, tag content, and anonymize sensitive data while ensuring privacy and data quality at scale. Core stack is Python with production ETL pipelines and monitoring.
present of AI is seeking a data engineer to own the data pipelines behind a legal knowledge base and manage the processing of user-uploaded documents. You will read scanned files, tag content, and anonymize sensitive data while ensuring privacy and data quality at scale.
The role requires about four years of data engineering experience, strong Python skills, and hands-on experience running production ETL pipelines with monitoring.