Data Platform Internship (Summer 2026)

As a Data Platform Intern, you will work closely with experienced engineers on real-world projects that contribute directly to our data platform's growth and maturity. You'll get hands-on experience with tools and technologies like AWS, Databricks, Terraform, Kafka, Reltio, and more—while sharpening your Python, Git, and infrastructure-as-code (IaC) skills. You'll also develop fluency in AI-assisted development practices that are becoming standard across modern engineering teams.

You will gain exposure to modern cloud data architectures, data governance practices, and DevOps workflows. This is a great opportunity to learn how to build data systems that scale and deliver impact in a real production environment—using AI tools to work smarter and move faster.

PRIMARY ACCOUNTABILITIES

• 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.

QUALIFICATIONS

• 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.

REQUIRED BEHAVIORAL ATTRIBUTES

• Self-starter with demonstrated ability to successfully assist with project deliverables in a driven and dynamic organization.
• Flexibility, adaptability, and the ability to work under tight deadlines or changing needs.
• Confidence and ability to work independently and in a team structure.
• Exceptional collaboration and team orientation skills.
• High level of self-motivation.
• Intellectual curiosity, including an openness to adopting AI tools and emerging best practices in data engineering.