Data Engineer Intern - Pipelines & Cloud (Summer 2027)

BioSpace; Washington (District of Columbia); On-site; USD 48,000 - 56,000; Full time

Job summary

Amgen is offering a Grad Intern Data Engineer - Technology, AI & Data (Summer 2027) in Washington, DC. The role focuses on designing and developing data pipelines to ingest data into the Enterprise Data Lake, collaborating with product owners, architects, and data scientists to meet data needs.

You will build infrastructure and analytics tools using Python, SQL, and AWS, while exploring opportunities to automate tasks and develop reusable frameworks and rapid PoC solutions.

Qualifications

• Graduated with a bachelor’s degree from an accredited college or university.
• Currently enrolled in an MBA program for an MBA internship OR a Masters program for a Masters 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 Masters OR PharmD OR Ph.D. program before the internship starts.

Responsibilities

• Design and develop end-to-end data pipelines to extract, transform, and load data from multiple sources into the Enterprise Data Lake.
• Collaborate with lead Architects, SMEs and Data Scientists to build analytics infrastructure and tools.
• Develop new infrastructure and analytics capabilities using Python, SQL, and AWS.
• Identify opportunities to automate tasks and create reusable frameworks; contribute to rapid PoC solutions.

Skills

Python

SQL

AWS

Data pipelines

Collaboration

Education

Bachelor's degree in a relevant field

Job description

Amgen is offering a Grad Intern Data Engineer - Technology, AI & Data (Summer 2027) in Washington, DC. The role focuses on designing and developing data pipelines to ingest data into the Enterprise Data Lake, collaborating with product owners, architects, and data scientists to meet data needs.

You will build infrastructure and analytics tools using Python, SQL, and AWS, while exploring opportunities to automate tasks and develop reusable frameworks and rapid PoC solutions.