Data Engineer - End-to-End Health Data Platform (AWS)
Summary
Own end-to-end data pipelines for a health data platform on AWS: build production ETL/ELT with Python and PySpark, ingest data from clinical systems, and model it in a lakehouse using Iceberg or Delta, while ensuring data quality through tests and monitoring in a small Melbourne-based team.
Loop IQ is seeking a hands-on data engineer to own end-to-end data pipelines in a small, high-trust team. You will build production ETL/ELT processes on AWS using Python and PySpark, ingest data from clinical systems, and model it in a lakehouse with Iceberg or Delta formats.
You'll work closely with software engineers to ensure data quality, implement tests and monitoring, and contribute to shared frameworks. A degree in a technical field and 4+ years of experience are expected.