Staff Data Engineer (Healthcare)

TL;DR

Staff Data Engineer (Healthcare): Designing and building scalhirify.global data systems for analytics and decision-making with an accent on Databricks medallion lakehouse architecture and AWS pipelines. Focus on implementing multi-country data isolation, FHIR-to-OMOP mapping, and ensuring strict regulatory compliance for healthcare data.

Location: 100% remote within LatAm

Salary: Payments made in USD

Company

hirify.global builds technology products using a portfolio model, focusing on becoming an AI-native organization across all functions.

What you will do

• Design and operate a Databricks medallion lakehouse architecture using Delta Live Thirify.globals for clinical and operational data.
• Architect scalhirify.global AWS data pipelines using S3, Glue, Lambda, Kinesis, and MSK/Kafka.
• Implement multi-country data isolation and governance leveraging Databricks Unity Catalog and Open Policy Agent.
• Develop and maintain FHIR-to-OMOP mapping pipelines to support clinical data interoperability.
• Optimize data platform performance, cost, and reliability for a healthcare platform serving 1M+ patients.
• Collaborate on real-time event-driven architectures integrating Kafka streaming with lakehouse layers.

Requirements

• 8+ years of data engineering experience.
• Deep expertise in Databricks (Delta Lake, Unity Catalog, DLT), AWS data services, Python, and PySpark.
• Experience with streaming and event-driven architectures using Kafka.
• Proven ability to implement data governance, lineage, and audit logging at enterprise scale.
• Proficiency with infrastructure-as-code (Terraform, CloudFormation, or CDK) and CI/CD pipelines.
• English: Strong verbal and written communication skills are required.

Nice to have

• Experience with healthcare data standards (FHIR, OMOP CDM, HL7, ICD-10).
• Experience supporting SOC 2 Type 2 or ISO 27001 certification readiness.
• Knowledge of multi-region data architectures and data sovereignty requirements.
• Familiarity with policy-as-code for data access and consent enforcement.

Culture & Benefits

• 100% remote work within the LatAm region.
• Competitive compensation paid in USD.
• 18 days of PTO per year, observance of local holidays, and an annual end-of-year break.
• Monthly wellness stipend and home-delivered snack boxes.
• Continuous growth opportunities through AI training and knowledge-sharing.