Healthcare Data Engineer: Cloud Pipelines & Imaging

Function Health; Canada (KY); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Stock options

Health, dental, and vision plans

Wellness and commuter benefits

Generous vacation policy

Learning culture

Job summary

Function Health is seeking a Data Engineer to design, build, and scale the core data infrastructure that powers imaging analytics and AI ecosystems. You will work across the Data, AI, and R&D teams to orchestrate secure, reliable, and compliant pipelines for diverse health data types.

You will work with Airflow, AWS, and Databricks to ensure scalable, production-ready systems as our data footprint grows. Reporting to a senior data leader, you’ll help drive data reliability and accessibility

Qualifications

• 1–2 years of data engineering / cloud orchestration experience.
• Experience with healthcare, imaging, or PHI-sensitive data is a strong plus.
• Strong Python and SQL skills, plus exposure to cloud platforms.

Responsibilities

• Design and operate scalable data pipelines and orchestration systems for imaging and biomarker data.
• Contribute to PHI-safe, compliant data infrastructure (HIPAA, GDPR).
• Enhance performance and fault-tolerance across distributed data workflows.
• Integrate DICOM and data pipelines into the data lake and analytics stack.
• Implement data validation, observability, and monitoring for production pipelines.
• Collaborate with data science, ML, and product teams to ensure data reliability.
• Support automated ingestion, transformation, cataloging, and access for analytics and ML use cases.

Skills

Python

SQL

Airflow

Prefect

AWS

Azure

GCP

Databricks

Apache Spark

Dask

Data validation

Observability

Testing

Production best practices

Communication

Education

PhD in data science / related field

Tools

Databricks

Job description

Function Health is seeking a Data Engineer to design, build, and scale the core data infrastructure that powers imaging analytics and AI ecosystems. You will work across the Data, AI, and R&D teams to orchestrate secure, reliable, and compliant pipelines for diverse health data types.

You will work with Airflow, AWS, and Databricks to ensure scalable, production-ready systems as our data footprint grows. Reporting to a senior data leader, you’ll help drive data reliability and accessibility