Assist in developing and maintaining data pipelines using Python, Databricks, and Delta Lake.
Support infrastructure provisioning and automation using Terraform, Git, and other IaC tools.
Contribute to the design and optimization of data ingestion, enrichment, and streaming processes on AWS and Kafka.
Learn and apply data modeling techniques in platforms such as Reltio (Master Data Management).
Leverage AI-assisted tools to accelerate development, improve code quality, and support documentation and troubleshooting workflows.
Collaborate with engineers across platform, governance, and analytics teams to deliver reliable, high-quality data assets.
Write clean, maintainable code and participate in code reviews and agile ceremonies.
Document processes, tooling, and learnings to support internal knowledge sharing.

Must be available Monday, June 1st through Friday, August 21st, 2026.
Must be pursuing an undergraduate or graduate degree in a technical discipline.
Other majors may be considered based on relevance and experience.
Preferred graduation date of June 2026 or before.
Minimum GPA of 3.0.
Strongly prefer Python coding skills, Git version control, and/or cloud technologies.
Comfort using AI tools as part of a development workflow is a plus.
Competent interpersonal, verbal, and writing skills are required.
Ability to prioritize and manage multiple projects.
Strong organizational skills and ability to manage and execute tasks in a high-pressure environment.
Strong attention to detail.

Data Platform Intern, Summer 2026

Key skills