Data Engineer Intern

**About the Role** We’re looking for a **Data Engineer Intern who actually likes data**, but someone who’s curious — someone who wants to understand *how data works, why it behaves the way it does, and how to make it useful.* You don’t need years of experience. We care more about: * your mindset * your curiosity * your willingness to learn You’ll work on real data problems connected to **drug development and healthcare**, helping build and maintain data pipelines that support cutting-edge analytics and AI. You’ll join a team that genuinely cares about **AI and Generative AI** — we experiment, we learn, and we teach others. Expect a **hands-on, supportive, no-BS environment**. **What You’ll Do** * Help design and maintain **data pipelines (ETL/ELT)** moving data from different sources into data platforms * Work with structured and unstructured data, learning how to clean, transform, and model it * Support development of datasets used for **analytics, reporting, and machine learning** * Collaborate with Data Engineers, Data Scientists, and Analysts to understand real business use cases * Learn how to monitor data pipelines, debug issues, and improve data quality * Contribute to documentation and data-related processes * Get exposure to **cloud platforms (AWS)** and modern data tools like **Databricks** * Explore how **Generative AI** can be used in data workflows **What We’re Looking For** We’re not expecting you to tick every box — but you should have some foundation and strong motivation to grow. **Must-have basics** * Student (or recent graduate) in IT, Data, Engineering, or similar field * Basic knowledge of **Python and/or SQL** * Understanding of how data works (tables, databases, APIs, etc.) * Interest in **data engineering, analytics, or AI/GenAI** * Ability to think critically and solve problems * Good communication skills and willingness to learn **Nice to have (but not required)** * Exposure to: AWS (S3, Lambda, etc.), Databricks / Spark, ETL tools or pipelines * Experience with Git (even basic) * Curiosity around **Generative AI tools** (e.g., GitHub Copilot or similar) * Any personal projects, coursework, or internships in data **What You’ll Gain** * Hands-on experience with **real-world data systems** used in healthcare \& pharma * Mentorship from experienced Data Engineers and AI specialists * Practical knowledge of: Data pipelines and ETL/ELT, Cloud data platforms (AWS), Modern tooling (Databricks, Git, CI/CD basics) * Exposure to **AI \& Generative AI in production environments** * Opportunity to grow into a **full-time Data Engineer role**