Archive Resale
Data Engineer
4 months ago
About the Job
The Role. You will…
- Build data pipelines integrating brand catalog data with Archive
- Architect data models to drive performance metrics and business analytics
- Develop and deliver reporting practices to aid decision making for Archive and its partners
- Receive mentorship in our collaborative, engineering environment
The Stack. We use…
- Frontend: Next.js + React + Redux + Apollo Client (Typescript), Firebase Auth
- Backend: NodeJS (Typescript), Hasura GraphQL Engine, Python
- Database: PostgreSQL
- Infrastructure: AWS, Terraform, Vercel
Your Experience. You have…
- Proficiency working with large datasets using modern data languages and libraries (e.g., SQL, Python, Pandas, iPython Notebook, Spark)
- Experience with PostgreSQL (or similar relational database)
- Experience with data management systems or data warehouses
- Balanced complexity with sustainability and speed of delivery
- Bonus: Experience with any of the technologies in our stackBonus: Experience with data visualization or business intelligence tools
- Bonus: Experience in a technical, customer-facing role
About the Company

Archive Resale
<p>Join Archive in our mission to change consumer shopping behavior for the better. If you think humans buy too much stuff and throw too much away, then this problem is for you. As the leading technology platform for branded resale, we now power circular businesses for 50+ brands globally including Lululemon, The North Face and New Balance.</p><p>We are growing our team of highly motivated, forward-thinking individuals to help build the most delightful user experience for shopping used items, and the software to help brands make this a significant part of their business. If this mission speaks to you, come join us as we grow our share of the booming second hand market—projected to grow 3X faster than the overall global apparel market and to hit $350 Billion globally by 2028.</p>
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