Software Data Engineering Intern

iA is a pharmacy fulfillment company that provides software-enabled fulfillment solutions and enterprise data platforms. The Software Data Engineering Intern will support the software development lifecycle by building cloud-based data solutions, ETL processes, data pipelines, data models, metadata, and AI-enabled analytics capabilities under the guidance of senior engineers.

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 Databricks Genie One and other approved third-party tools
• Participate in developing proof-of-concept AI and data solutions that help teams identify trends and derive insights from customer and operational data
• Evaluate and validate AI-generated data queries and insights for accuracy and alignment with the underlying data and business definitions
• Participate and contribute to team’s daily meetings
• Follow senior engineer(s) directions to learn and apply best industry practices in design and implementation
• Under supervision implement, troubleshoot, and deploy on cloud software components
• Liaising with colleagues to implement technical designs
• Maintain the security of the company data and applications using security best practices

What they're looking for:

• * Pursuing degree in Computer Science, Information Technology, Data Science, or related fields
• * Hands-on knowledge on any flavor of database querying language, SQL, TSQL
• * Familiarity with Excel, tableau/Power BI
• * Some programming experience with at least one modern language e.g. JavaScript/Typescript, Python
• * Some classes on object-oriented design
• * Knowledge of data structures and algorithm
• * Interest in data engineering, artificial intelligence, machine learning, or using data to solve real-world business problems
• * Interest in learning how data quality, metadata, and business context influence the quality of analytics and AI solutions
• * Exposure to Databricks, Spark, data lakes, data warehouses, or modern data platforms
• * Experience using Python for data processing or analytics
• * Familiarity with generative AI, large language models, AI agents, or natural-language data analysis
• * Exposure to data governance, data cataloging, metadata management, or semantic data models

Benefits:

• Gain hands-on experience
• Work on real projects with industry professionals
• Receive mentorship and build your professional network
• Get career-building and resume support
• Explore potential full-time opportunities