PIM Data Engineer
- Moves you to
- United States
- Support
- Visa sponsorship
- Posted
- Sep 25, 2026
We are actively seeking an experienced PIM Data Engineer to join our Data Management team and lead the delivery of complex, enterprise-scale PIM projects. In this role, you will architect and implement sophisticated product information management solutions for some of the industry's most recognizable brands. You'll collaborate with a talented team of developers, technical leads, and architects to solve challenging problems and drive digital transformation initiatives. Working in a distributed environment, you'll take ownership of projects while maintaining strong communication with internal teams and client stakeholders.
If you're energized by working alongside motivated technologists and want to make an impact on high-visibility projects, we'd love to hear from you.
Information Security Responsibilities
Minimum Qualifications:
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BA/BS in Computer Science or equivalent degree
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Minimum of 3-5 years of hands-on Akeneo PIM implementation and architecture experience
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Minimum of 3-5 years of real-world e-commerce experience (within the last 5 years)
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Demonstrated experience with AWS technologies (Lambda, AppSync, DynamoDB)
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Strong understanding of data architecture and PIM platform configuration best practices
Preferred Qualifications:
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Proven ability to design and architect scalable PIM solutions using Akeneo
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Hands-on experience with APIs (REST, GraphQL) and third-party integrations
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Ability to work independently with minimal supervision and mentor junior team members
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Strong written communication skills with ability to produce clear, comprehensive technical documentation
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Experience leading client calls, gathering requirements, and managing stakeholder expectations
Nice-to-Have:
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Active participation in large-scale e-commerce platform development and optimization
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PIM / MDM certifications (Akeneo, Enterworks, Salsify, other major enterprise PIM platform)
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Experience with enterprise eCommerce platforms (Magento, Shopify, Adobe Commerce)
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Exposure to Data Management platforms (PIM, MDM, DAM, ect.)