Summary
AbbVie is a pharmaceutical company focused on discovering and delivering innovative medicines and solutions for serious health issues. The 2027 Business Technology Solutions Intern will work in either Data Engineering or Software/Application Engineering, supporting enterprise applications, data infrastructure, software solutions, and data pipelines during an 11-week onsite internship.
Responsibilities
- Front End: develop, test, and maintain highly interactive, responsive user interfaces
- Back End: build backend services, APIs, and microservices in Java (Spring Boot); implement server-side logic, workflows, and data pipelines; optimize performance, scalability, and reliability
- Full Stack: own both front-end and back-end components end to end
- Support the design and development of data, software, or technology solutions to answer scientific or business questions
- Leverage a range of technologies related to programming languages, data integration, data warehousing, and data visualization and analysis
- Help build, maintain, and optimize data infrastructure
- Ensure data is collected, processed, and stored efficiently and securely
- Integrate different data sources and create the foundations on which analytics and data science can operate
Skills
- Pursuing a Bachelor's degree in Computer Science, Computer Engineering, AI or related majors with a minor or concentration in one of the above fields
- Graduation date between December 2027 – June 2028
- Must be enrolled in university the semester following your internship and graduate within 1-year post internship
- Software/Application Engineering Track: school or work experience with the following: Front End — NodeJS, Vue.js, HTML; Back End — Java, JavaScript; Full Stack — Java, SQL, TypeScript; APEX or Python; ability to apply generative AI to custom software solutions
- Public code portfolio (GitHub, GitLab, Bitbucket) highly preferred
- Data Engineering Track: strong programming experience in Java, Python, R, and SQL
- Experience using APIs to extract data and applying large language models or machine learning algorithms
- Previous internship or related experience
- Technical and business insight, strong analytical skills, and creative problem-solving abilities
- Proven track record of teamwork, adaptability, innovation, initiative, and integrity
- Excellent communication, leadership, and project management skills
- Cumulative GPA of 3.00 or higher
Qualifications
Must Haves
- Pursuing a Bachelor's degree in Computer Science, Computer Engineering, AI or related majors with a minor or concentration in one of the above fields
- Graduation date between December 2027 – June 2028
- Must be enrolled in university the semester following your internship and graduate within 1-year post internship
Nice to Haves
- Software/Application Engineering Track: school or work experience with the following: Front End — NodeJS, Vue.js, HTML; Back End — Java, JavaScript; Full Stack — Java, SQL, TypeScript; APEX or Python; ability to apply generative AI to custom software solutions
- Public code portfolio (GitHub, GitLab, Bitbucket) highly preferred
- Data Engineering Track: strong programming experience in Java, Python, R, and SQL
- Experience using APIs to extract data and applying large language models or machine learning algorithms
- Previous internship or related experience
- Technical and business insight, strong analytical skills, and creative problem-solving abilities
- Proven track record of teamwork, adaptability, innovation, initiative, and integrity
- Excellent communication, leadership, and project management skills
- Cumulative GPA of 3.00 or higher
Benefits
- Relocation support for eligible students
- Select wellness benefits
- Paid holiday / sick time