Engineering Intern - Business Technology Operations (Foundational PIM)
Location: Beverly Hills, California, United States
Department: Internships
WHY JOIN ALO?
Mindful movement. It’s at the core of why we do what we do at ALO—it’s our calling. Because mindful movement in the studio leads to better living. It changes who yogis are off the mat, making their lives and their communities better. That’s the real meaning of studio-to-street: taking the consciousness from practice on the mat and putting it into practice in life.
OVERVIEW
We are seeking a motivated and technically strong Computer Science Intern – Product Information Management (PIM) to join our Biz Tech Operations team. This internship offers a unique opportunity to design and build a foundational Product Information Management (PIM) capability that will serve as a single, trusted source of product data across ALO’s technology ecosystem.
Today, product information is distributed across multiple systems—including NGC PLM, FDM4 ERP, FDM4 WMS, Shopify, and spreadsheets—resulting in duplicated integrations, inconsistent data, and manual workarounds. As an intern, you will help design and implement a centralized PIM solution built on ALO’s data lake (Amazon Redshift) and supporting data pipelines, enabling all downstream systems, services, and teams to reliably source product data from a single platform.
This work will create a scalable foundation that can be expanded over time with additional product attributes, governance, and automation to support ALO’s continued growth and tech environment expansion.
The ALO internship programs starts June 8th and ends July 31st. Interns will be working 40 hours a week at our Beverly Hills HQ.
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
QUALIFICATIONS
- 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
NICE TO HAVE
- 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
The base pay range for this position is $45/hr-$50/hr which represents the current range for the non-exempt position. Please note that actual pay will vary based on factors including but not limited to location, experience, and performance.
There are more than 50,000 engineering jobs:
Subscribe to membership and unlock all jobs
Engineering Jobs
60,000+ jobs from 4,500+ well-funded companies
Updated Daily
New jobs are added every day as companies post them
Refined Search
Use filters like skill, location, etc to narrow results
Become a member
🥳🥳🥳 452 happy customers and counting...
Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.
To try it out
For active job seekers
For those who are passive looking
Cancel anytime
Frequently Asked Questions
- We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
- We've got over 200,000 jobs from 15,000+ vetted companies. No fake or sleazy jobs here!
- We aggregate jobs from 15,000+ companies' career pages, so you can be sure that you're getting the most up-to-date and relevant jobs.
- We're the only job board *for* software engineers, *by* software engineers… in case you needed a reminder! We add thousands of new jobs daily and offer powerful search filters just for you. 🛠️
- Every single hour! We add 2,000-3,000 new jobs daily, so you'll always have fresh opportunities. 🚀
- Typically, job searches take 3-6 months. EchoJobs helps you spend more time applying and less time hunting. 🎯
- Check daily! We're always updating with new jobs. Set up job alerts for even quicker access. 📅
What Fellow Engineers Say