Grad Intern – Data Engineer – Amgen’s Technology & Medical Organizations (Summer 2027)
Amgen
- Location
- United States - Remote
- Employment
- Internship
- Work model
- Remote
- Level
- Intern
- H-1B history
- 137 approvals (FY2023)
- Posted
- Sep 11, 2026
Skills
About this role
Career Category College Job Job Description Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Grad Intern – Data Engineer – Amgen’s Technology & Medical Organizations (Summer 2027) What You Will Do Let’s do this. Let’s change the world. During this internship, you will acquire the valuable hands-on skills and foundational experience needed to become a professional in your chosen field. This role requires working closely with product owner/Product Architect and various functional teams to understand the data requirements and implementing data engineering solutions. This position is responsible for design and development of data pipelines to extract, transform, and load data from various data sources in various data formats to Enterprise Data Lake. Responsibilities may include: Collaborating with lead Architects, Business SMEs and Data Scientists to design and develop end-to-end data pipelines and support infrastructure Building new infrastructure and analytics tools using Python, SQL and AWS Proactively identifying & implementing opportunities to automate tasks and develop reusable frameworks; participating in efforts to design, build, and develop rapid Proof-of-Concept (POC) solutions and services Program Eligibility Requirements Must be available to work a full-time schedule. Expected continued enrollment in an accredited college or university following the internship program / co-op Student must be located in the United States for the duration of the internship program Must be available to accept and commit to future full-time employment by July 2028, if offered What We Expect of You We are all different, yet we all use our unique contributions to serve patients. The passionate and driven individual we seek is exemplifies the following qualifications:
Basic Qualifications
Amgen requires that all individuals applying for a grad internship or a co-op assignment at Amgen must meet the following criteria: 18 years or older Graduated with a bachelor’s degree from an accredited college or university Currently enrolled in an MBA program for an MBA internship OR a Master’s program for a Master’s internship OR a PharmD program for a PharmD internship OR Ph.D. for a PhD internship from an accredited college or university and completion of the first year of MBA OR Master’s OR Pharm D OR Ph.D. program before the internship starts Preferred Qualifications: In the process of completing the first year of a Master’s program with concentration in Information Technology, Computer Science (e.g., CS, CPE, SE), Engineering, Business, or related field 1 or more years relevant work experience Biotechnology, pharmaceutical or health care industry experience Intermediate knowledge of Microsoft Word, Excel and Power Point Strong interpersonal, project management, analytical and quantitative skills Proficient in one of the coding languages (Python, Java, Scala, SQL)