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

The Data Management Intern supports the data management group which includes Data Engineering, Master Data Management, Data Pipelines, Data Visualization and Agentic Based solutions. The role will support Data Engineering in the design, development, and maintenance of reliable data pipelines, transformations, and models. These objects support analytics, reporting, and operational workflows. The role will also be involved in creating AI Agents for the department and its stakeholders.

The role works closely with architects, analysts, and business stakeholders to translate requirements into secure, scalable, and high-quality data solutions. The intern is expected to partner with team members while owning assigned deliverables. The desired candidate should communicate clearly, bring structure to day-to-day technical work, and contribute to timely team outcomes.

Key technologies will be SQL, Snowflake, Python and Cortex AI.

The intern will be hands-on in contributing to real world solutions and will build job skills and experience that cannot be achieved in academia alone.

How You'll Create Impact

• Design, build, test, and maintain SQL-based data pipelines, transformations, and data models in Snowflake and other approved cloud data environments.
• Develop Python-based data processing, automation, and integration workflows.
• Ingest and process structured and semi-structured data from databases, APIs, files, SaaS applications, and cloud storage.
• Implement ETL/ELT processes using SQL, Python, dbt or equivalent transformation frameworks, Snowflake capabilities, and orchestration tools (such as Dagster or similar).
• Participate actively in Agile ceremonies and deliver assigned sprint commitments with quality and urgency.
• Use version control and established CI/CD practices to develop, review, test, and deploy data solutions.
• Apply data-quality, data-governance, security, and privacy practices to the design and operation of data products.
• Troubleshoot data-pipeline issues, investigate root causes, and make performance and reliability improvements.
• Maintain clear technical documentation, monitoring, alerting, and operational procedures for supported pipelines.
• Collaborate with cross-functional partners to clarify requirements, communicate progress and risks, and deliver fit-for-purpose technical solutions.

This is not an exhaustive list of duties or functions and might not necessarily comprise all of the essential functions for purposes of the Americans with Disabilities Act.

What Makes You Stand Out

• SQL and data modeling; Snowflake or a comparable cloud data warehouse preferred.
• Some form of development experience is helpful, Python strongly preferred
• dbt or comparable SQL-based transformation frameworks is helpful
• Version control experience, preferably Git-supported
• Ability to work effectively with cross-functional teams
• Strong analytical, problem-solving, organizational, and critical-thinking skills.
• Clear written and verbal communication skills
• Ability to work independently and deal with ambiguity
• Ability to collaborate across teams and geographies
• Curious, proactive and ready to learn

Your Background

• Pursuing a degree in Computer Science, Computer Engineering, Information Systems, Mathematics or other highly technical degree
• Must be actively enrolled in an academic program for the entire duration of the assignment.
• 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