AI Data Engineering Intern (BS) — Summer, Python & SQL

100 Eli Lilly and Company; Indianapolis (IN); Vor Ort; USD 59.000 - 72.000; Vollzeit

Benefits dieser Stelle

401(k)

Pension

Vacation benefits

Medical, dental, vision benefits

Flexible benefits

Life insurance

Well-being benefits

Housing if relocation

Free parking

Lilly LIFE fitness center

Zusammenfassung

Eli Lilly and Company is offering a hands-on data engineering internship in the Clinical and Development area within Lilly’s Advanced Intelligence & Research organization. You will design pipelines, model data for analytics, and write production-quality Python and SQL while collaborating with data scientists, ML engineers, and clinical partners.

The 12-week summer internship emphasizes learning with real business impact, exposure to AI tools, and opportunities to present results to senior

Qualifikationen

• Currently enrolled in and pursuing a Bachelor’s degree in Computer Science, Computer Engineering, Data Science, Software Engineering, Information Systems, Statistics, Mathematics, or a closely related technical field, and will have completed your Junior year by June 2027.
• Hands-on experience programming in Python and writing SQL.
• Foundational understanding of data structures and relational databases.

Aufgaben

• Design and build data pipelines that ingest, transform, and validate large datasets.
• Model data for analytics and AI applications.
• Write production-quality Python and SQL code.
• Apply version control, testing, and documentation practices.
• Collaborate with data scientists, ML engineers, and clinical partners.

Kenntnisse

Python

SQL

Data pipelines

Databricks

AWS

Git

Docker

CI/CD

Spark

PySpark

Ausbildung

Bachelor’s degree in Computer Science / Data Science / related field

Tools

Databricks pipelines

SQL warehouses

Jobbeschreibung

Eli Lilly and Company is offering a hands-on data engineering internship in the Clinical and Development area within Lilly’s Advanced Intelligence & Research organization. You will design pipelines, model data for analytics, and write production-quality Python and SQL while collaborating with data scientists, ML engineers, and clinical partners.

The 12-week summer internship emphasizes learning with real business impact, exposure to AI tools, and opportunities to present results to senior