Public Health Data Engineer - Cloud Pipelines

University of Michigan; Ann Arbor (MI); Hybride; USD 100 000 - 110 000; Plein temps

Résumé du poste

University of Michigan is seeking a Data Engineer for MICOM to design, build, and maintain scalable data platforms enabling epidemiological modeling and public health analytics. You will work with software engineers, data scientists, and health stakeholders to deliver reliable data pipelines and analytics-ready datasets.

The role involves modern data engineering practices, cloud-native architectures, and collaboration across MDHHS and DTMB.

Qualifications

• 5+ years of experience developing ETL pipelines.
• Proficiency in Python and SQL.
• Experience with Linux/Unix environments.
• Knowledge of security best practices and data privacy standards.

Responsabilités

• Develop scalable data pipelines for batch and near real-time data processing.
• Develop ETL/ELT pipelines to transform data from multiple data sources.
• Build modern Lakehouse architectures to support governed datasets.
• Collaborate with software engineers, data scientists, epidemiologists, and public health partners to deliver robust data products.
• Develop reusable data engineering frameworks, libraries, and infrastructure.

Connaissances

ETL pipelines

Python

SQL

Linux/Unix

Security best practices

Cloud platforms (AWS)

Formation

Bachelor's degree in CS/IT or related field

Outils

PostgreSQL

MongoDB

Description du poste

University of Michigan is seeking a Data Engineer for MICOM to design, build, and maintain scalable data platforms enabling epidemiological modeling and public health analytics. You will work with software engineers, data scientists, and health stakeholders to deliver reliable data pipelines and analytics-ready datasets.

The role involves modern data engineering practices, cloud-native architectures, and collaboration across MDHHS and DTMB.