Data Engineer (Healthcare)

Location: Remote in the United States or Canada

Company

hirify.global develops a proactive, data-driven healthcare platform that aggregates imaging, laboratory results, biomarkers, and other health signals into clinically meaningful insights.

What you will do

• Design and operate scalable data pipelines and orchestration systems for imaging and biomarker data.
• Build secure, compliant cloud-native infrastructure aligned with healthcare standards, including HIPAA and GDPR.
• Improve performance and fault tolerance across distributed data workflows.
• Integrate DICOM and other healthcare data pipelines into the data lake and analytics stack.
• Implement data validation, observability, monitoring, and production-quality testing.
• Support automated ingestion, transformation, cataloging, and data access for analytics, AI, and ML use cases.

Requirements

• 1–2+ years of experience in data engineering, ETL development, or cloud-based data orchestration.
• Strong proficiency in Python and SQL.
• Hands-on experience with Airflow, Prefect, or a similar workflow orchestration tool.
• Experience with AWS, Azure, or similar cloud platforms, plus Databricks and distributed processing frameworks such as Apache Spark or Dask.
• Understanding of data validation, observability, testing, and production best practices.
• Strong communication and documentation skills; healthcare, imaging, or PHI-sensitive data experience is advantageous.

Culture & Benefits

• Opportunity to join as an early employee and contribute to cancer detection and proactive healthcare initiatives.
• Stock options.
• Health, dental, and vision plans for employees and families.
• Wellness and commuter benefits.
• Competitive vacation policy, flexible working hours, and a learning-focused culture.