Data Engineer
Core
Build the primary data infrastructure for an AI-native continuous intelligence platform that automates primary research for investors and corporate strategy teams.
Role type
Senior Data Engineer (Infrastructure & AI Pipelines)
Builds
Data pipelines feeding AI moderators, models converting expert conversations into structured insights, and systems for customer data integration.
Domain
Financial Services / AI / Primary Research
Deliverable
production ML models | infrastructure
Required skills
SQL, TypeScript or Python, API integrations, data modeling (relational & non-relational), unstructured data processing, entity matching/reconciliation, data quality monitoring
Preferred skills
LLM-driven data pipelines, modern warehouse stacks (Snowflake/BigQuery, dbt, Airflow), fintech experience, early-stage startup experience
Technologies
TypeScript, Python, Postgres, S3, AWS Bedrock, Snowflake/BigQuery, dbt, Airflow
Responsibilities
Design and maintain ETL/ELT processes for unstructured and third-party data; build AI-powered data enrichment pipelines using LLMs; own end-to-end data quality with automated QA and alerting; define schemas and data contracts with cross-functional teams; document data lineage and runbooks.
Seniority
Senior, hands-on IC
