Data Engineer

Responsibilities

• Develop scalable data pipelines for batch and near real-time data processing
• Develop ETL/ELT pipelines to transform data from multiple internal and external data sources
• Build modern Lakehouse architectures to support reliable, governed, and analytics-ready datasets
• Collaborate with software engineers, data scientists, epidemiologists, and public health partners to deliver trusted, high-quality datasets and data products
• Develop reusable data engineering frameworks, libraries, and infrastructure to improve developer productivity and platform consistency

Benefits

• Generous time off (Vacation, Holidays, Season Days, Family Leave)
• A retirement plan that provides two-for-one matching contributions after 12 months of eligible service, with immediate vesting
• Many choices for comprehensive health insurance
• Dental and vision insurance
• Life insurance
• Long-term disability coverage
• Flexible spending accounts for healthcare and dependent care expenses
• This is a hybrid position.
• Glassdoor
• 4.1
• Michigan Medicine is a health care system and academic medical center that provides medical education and more. It is a sub-organization of University of Michigan.
• Ann Arbor, Michigan, USA
• http://www.uofmhealth.org/
• Late Stage
• Leadership Team
• Heather Ascani
• Director, Business Strategy - Michigan Kidney Translational Research Core
• Jack Kufahl
• Chief Information Security Officer
• Recent News
• News-Medical.Net
• New drug candidate treats severe fatty liver disease by improving gut health
• 2026-07-10
• PR Newswire
• Blue Cross Blue Shield of Michigan and Michigan Medicine Reach Contract Agreement
• 2026-05-27
• DBusiness Magazine
• University of Michigan First to Adopt AI Platform for 3-D Prostate Cancer Mapping
• 2026-05-15
• Company data provided by

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent practical experience)
• 5+ years of experience developing ETL pipelines
• Proficiency in Python, SQL, and Linux/Unix systems
• 5+ years of experience with relational and NoSQL databases (e.g., PostgreSQL, MongoDB)
• Knowledge of security best practices and data privacy standards (HIPAA or similar regulatory frameworks)
• Familiarity with cloud platforms and deploying applications in cloud environments (e.g., Amazon Web Services)
• Visa sponsorship is not available for this position
• 5+ years of experience developing ETL pipelines.

Required skills

• Amazon Web Services, Cloud Platforms, Data Privacy Standards, ETL Pipelines, HIPAA, Linux/Unix, NoSQL Databases, Python, Relational Databases, SQL

Experience

• 5+ years