Job description

At Zimmer Biomet, we believe in pushing the boundaries of innovation and driving our mission forward. As a global medical technology leader for nearly 100 years, a patient’s mobility is enhanced by a Zimmer Biomet product or technology every 8 seconds. As a Zimmer Biomet team member, you will share in our commitment to providing mobility and renewed life to people around the world. To support our talent team, we focus on development opportunities, robust employee resource groups (ERGs), a flexible working environment, location specific competitive total rewards, wellness incentives and a culture of recognition and performance awards. We are committed to creating an environment where every team member feels included, respected, empowered and recognised. What You Can Expect Join the Data Mesh team at Zimmer Biomet and get hands on experience building a real enterprise data platform in a regulated life sciences environment. This internship offers direct exposure to modern data platform engineering, data product development, and AI enablement on Snowflake. You will work alongside senior engineers and report directly to the Director of Data Mesh, contributing to production systems that serve business domains across Zimmer Biomet. The centerpiece of this internship is leading the build of our internal Data Product Portal, a Streamlit application that serves as the catalog and discovery layer for the company's data mesh. This is not a side project. It is a real product used by real teams. How You'll Create Impact • Lead the development of the Data Product Portal (Streamlit), building the catalog, discovery, and detail pages that help business teams find and understand available data products across the organization. • Contribute to data product onboarding workflows, including database provisioning, schema setup, and role configuration using infrastructure as code (Pulumi). • Assist with platform observability, including building dashboards and reports for cost attribution, usage monitoring, and RBAC compliance. • Support Cortex AI enablement work, including semantic view development, Cortex Agent configuration, and testing AI capabilities against real data products. • Write and maintain platform documentation, knowledge base articles, and operational runbooks that enable domain teams to work with the platform independently. • Participate in architecture discussions and team planning, gaining exposure to how platform decisions are made in a regulated enterprise environment. • Learn and apply data mesh principles including domain ownership, federated governance, and data product lifecycle management. What Makes You Stand Out • Pursuing a degree in Computer Science, Data Science, Information Systems, or a related field • Familiarity with Python and SQL (coursework or projects) • Interest in cloud data platforms, data engineering, or data product development • Experience with Streamlit, Flask, or similar Python web frameworks is a plus but not required • Exposure to Snowflake, dbt, Pulumi, Terraform, or similar tools through coursework or personal projects • Curiosity about AI and machine learning applied to data platforms • Strong written communication skills and comfort with documentation • Self starter who can take ownership of a project and drive it forward with guidance Your Background • Must be actively enrolled in an academic program for the entire duration of the assignment. • Bachelor's or Master's program in databases, cloud computing, or software engineering • Junior or Senior standing in a technical degree program • Must be available to work full-time (40 hours/week) throughout the co-op session • Must be authorized to work in the U.S. without requiring employer sponsorship Travel Expectations • None EOE/M/F/Vet/Disability

Requirements

Must-haves

What You Can Expect
How You'll Create Impact
Lead the development of the Data Product Portal (Streamlit), building the catalog, discovery, and detail pages that help business teams find and understand available data products across the organization.
Contribute to data product onboarding workflows, including database provisioning, schema setup, and role configuration using infrastructure as code (Pulumi).
Assist with platform observability, including building dashboards and reports for cost attribution, usage monitoring, and RBAC compliance.
Support Cortex AI enablement work, including semantic view development, Cortex Agent configuration, and testing AI capabilities against real data products.
Write and maintain platform documentation, knowledge base articles, and operational runbooks that enable domain teams to work with the platform independently.
Participate in architecture discussions and team planning, gaining exposure to how platform decisions are made in a regulated enterprise environment.
Learn and apply data mesh principles including domain ownership, federated governance, and data product lifecycle management.
What Makes You Stand Out
Pursuing a degree in Computer Science, Data Science, Information Systems, or a related field
Familiarity with Python and SQL (coursework or projects)
Interest in cloud data platforms, data engineering, or data product development
Exposure to Snowflake, dbt, Pulumi, Terraform, or similar tools through coursework or personal projects
Curiosity about AI and machine learning applied to data platforms
Strong written communication skills and comfort with documentation
Self starter who can take ownership of a project and drive it forward with guidance
Must be actively enrolled in an academic program for the entire duration of the assignment. • Bachelor's or Master's program in databases, cloud computing, or software engineering
Junior or Senior standing in a technical degree program
Must be available to work full-time (40 hours/week) throughout the co-op session
Must be authorized to work in the U.S. without requiring employer sponsorship
Travel Expectations
EOE/M/F/Vet/Disability

Nice-to-haves

Experience with Streamlit, Flask, or similar Python web frameworks is a plus but not required

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonsqlmachine learning

Platform: phenom
Effort: medium

Benefits

Benefits detected in the listing.

Vision

Wellness