As a Data Engineer, you will:
- Turn raw, messy healthcare data into clean, trusted, usable information.
- Power customer products, internal analytics, and AI models.
- Design how data flows through an entire diagnostics ecosystem.
Your responsibilities include:
- Designing and operating ingestion, transformation, and replication pipelines on GCP.
- Managing orchestration and streamlining ELT/ETL workflows.
- Creating clean, scalable, analytics-ready schemas in BigQuery.
Requirements:
- Solid engineering fundamentals and experience building pipelines from scratch.
- Python and SQL fluency; comfortable across relational + NoSQL systems.
- Experience with orchestrators and GCP core data tooling.