Data Engineer (Remote/Hybrid) – Graph Pipelines & Data Quality
Summary
Builds and maintains Python data pipelines for transcripts, market data and daily factor datasets at a research firm, implementing identity resolution and time-aware joins so research reflects point-in-time information. Designs PostgreSQL schemas, works with Neo4j graph databases, and adds validation checks and automated tests for production reliability.
SGG Research seeks a data engineer to build and maintain Python pipelines for transcripts, market data and daily factor datasets. You will implement identity resolution and time-aware joins to ensure research uses information available at decision time.
You will design PostgreSQL schemas, work with graph databases like Neo4j, and develop robust validation checks, automated tests and production data pipelines. Collaboration with the team will shape scalable, maintainable software.