Engineering Intern - Business Technology Operations (Foundational PIM)
Beverly Hills, California, United States
Internship
Onsite
$45/hr - $50/hr
Intern
ALO is a company focused on mindful movement and enhancing lives through yoga. They are seeking a motivated Engineering Intern in Business Technology Operations to design and implement a foundational Product Information Management (PIM) solution that consolidates product data across various systems.
Responsibilities
Partner with Tech, Business, and downstream application teams to help define the vision, scope, and requirements for a centralized Product Information Management (PIM) solution
Design and implement a foundational PIM data model that consolidates product data from multiple enterprise systems, including: PLM, ERP, WMS, Shopify, Existing datasets in Amazon Redshift
Build and enhance data pipelines into the data lake (Redshift) to ensure required product attributes are available, current, and reliable
Develop SQL-based transformations and views that create canonical product records suitable for consumption by multiple systems and microservices
Assist in defining data ownership, source-of-truth rules, and attribute-level lineage (e.g., which system owns which product attributes)
Collaborate with Business Analysts and stakeholders to document product data requirements and translate business needs into technical solutions
Create and maintain technical documentation, including: Product data models, Source-to-target mappings, Data flow diagrams, Attribute definitions and dependencies
Support downstream consumption of PIM data by helping define access patterns (e.g., database views, exports, APIs, or service interfaces)
Validate data quality and consistency across systems, identifying gaps, conflicts, and opportunities for standardization
Learn and apply best practices for data modeling, data engineering, and platform design in a real-world enterprise environment
Qualification
Required
Currently pursuing a degree in Computer Science, Data Science, Information Systems, or a related technical field
Strong working knowledge of SQL and relational databases
Understanding of data modeling concepts, including entities, attributes, relationships, and normalization
Experience with or exposure to ETL / ELT pipelines and data integration concepts
Familiarity with one or more programming or scripting languages such as Python, Java, or C# is a plus
Interest in enterprise systems, data platforms, and foundational architecture
Strong problem-solving skills and comfort working with ambiguous and evolving requirements
Ability to communicate technical concepts clearly to both technical and non-technical stakeholders
A strong desire to build systems that will be used and extended by others over time
Preferred
Exposure to Product Information Management (PIM), Master Data Management (MDM), or data governance concepts
Familiarity with cloud data platforms (AWS, Azure)
Experience integrating data from SaaS platforms (e.g., Shopify or PLM systems)
Coursework or projects involving data architecture or enterprise systems
