Software Data Engineering Intern

Innovation Associates, Inc.
City of Binghamton, New York, United StatesPosted Sep 4, 2026
Data Science / ML

About the role

The Role

We are looking for an enthusiastic, passionate for technology, self-motivated and creative Software Data Engineering Intern to join our team. The intern will work on our next-generation pharmacy fulfillment solutions and our enterprise data platform. The Software Data Engineering Intern will participate in the entire software development lifecycle - analyze the business requirements, design, test, and developing cloud-based data solutions. The intern will gain hands-on experience building solutions on Databricks that help transform the data we collect into analytics, operational insights, and AI-enabled capabilities for the business. Working closely with Senior Engineers and cross-functional teams, the intern will help develop and maintain data pipelines, data models, and metadata that make data easier to discover, understand, and use by AI, analytics, and third-party tools. As an engineering team member, the intern will learn and apply industry best practices in software development, data engineering, cloud technologies, data governance, security, AI enablement, and product delivery.

The iA Intern Program is a 10-week summer internship, running from, Tuesday June 1, 2027, through Friday, August 6, 2027.

What you’ll do

  • Based on design documents and under Sr. Software Engineers guidance, implement components of data warehousing systems, build extract, transform, load (ETL) processes, and deploy them to the cloud.
  • Develop and enhance data solutions on Databricks that enable analytics, AI, and machine-learning capabilities using customer and operational data.
  • Help create and maintain curated, trusted data models that can be consumed by analytics, AI applications, and business users.
  • Improve and maintain data metadata, descriptions, relationships, definitions, and business context to make data easier for people and AI-powered tools to understand and use.
  • Help prepare data for self-service AI and analytics experiences, including Databrick

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