AWS Data Engineer: PySpark & Databricks for HealthTech
Summary
Build and maintain secure, scalable data pipelines on AWS and Databricks to process clinical data for health analytics, using PySpark, Python, and SQL.
Loop IQ is building an advanced data platform to power health analytics for care organisations, combining secure data pipelines with production-grade processing on Databricks. You will contribute to scalable ETL/ELT frameworks and integrate clinical data sources into our SaaS product.
You will work with a small, high-trust team, applying AWS services, Python, and SQL to optimise performance and cost while maintaining governance and security across sensitive healthcare data.