We are seeking a Lead Data Engineer to architect, build, and scale our next-generation healthcare data platform. In this role, you will lead the effort to design robust pipelines, modernize data architecture, and ensure high-quality ingestion and transformation of clinical and operational data.
Requirements
- 7+ years of data engineering experience; 2–3+ years in a lead or senior technical role.
- Deep, hands-on expertise in GCP, particularly: BigQuery, GCP Healthcare API (FHIR and DICOM stores), Cloud Storage, Pub/Sub, Cloud Run/Functions.
- Strong proficiency with: dbt (Core or Cloud), Airflow (Cloud Composer or self-managed), Python and advanced SQL (BigQuery preferred).
- Hands-on experience with healthcare standards: FHIR (R4/US Core), HL7 v2/v3, DICOM, C-CDA, X12.
- Strong understanding of PHI handling, HIPAA compliance, and healthcare interoperability.
Benefits
- Competitive salary and benefits package.
- Flexible working arrangements (remote or hybrid options available).
- The opportunity to work on life-changing AI technology that directly impacts patient outcomes.
- Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity.
- Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.
