You’ve been waiting for a role like this—a chance to get in on the ground floor of something big. Maybe you’ve tinkered with graph databases in school or worked on data projects where every piece had to fit just so.
You’re the kind of person who loves figuring out how things connect, whether it’s nodes in a knowledge graph or ideas in a brainstorming session.
As a Recurrent Knowledge Graph Builder, you’ll help create systems that organize, connect, and evolve information at scale. Working alongside more senior team members, you’ll build pipelines to ingest and structure data using tools like Neo4j. You’ll learn to apply semantic modeling principles, using frameworks like RDF and OWL, to ensure the data you’re working with isn’t just stored—it’s understood.
This isn’t a role for someone who just wants to follow instructions. It’s for someone eager to learn, experiment, and eventually own pieces of a system that’s pushing the boundaries of what data can do.
The Ideal Candidate Has:
- 0-2 years of experience working with graph databases or data systems (internships and projects count).
- Familiarity with technologies like Neo4j or RDF and a willingness to master them.
- Basic proficiency in Python or Java for data manipulation and pipeline design.
- A hunger to learn and contribute to something truly innovative.
Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.
If you have a question regarding your application, please contact HR@chewy.com.
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