Archive

Data Engineer

Remote US
USD 135k - 185k
Next.js TypeScript Node.js Terraform Firebase Python AWS SQL Pandas React GraphQL PostgreSQL Spark
Description
Join Archive in our mission to reduce waste by extending the lifecycle of goods. We’ve started with fashion and are expanding from there. Over 50 brands - including The North Face, Diane von Furstenberg, and New Balance - work with Archive to keep their products out of landfills and in the hands of customers.

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

Skills / Experience

  • Engineering background, preferred in fields such as Computer Science, Mathematics, Software Engineering, and Data Science
  • Proficiency working with large datasets using modern data languages and libraries (e.g. SQL, Python, Pandas, iPython Notebook, Spark)
  • Experience with PostgreSQL or other relational databases
  • Professional experience with data management systems and data warehouses
  • Bonus: Experience with data visualization platforms and business intelligence tooling

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
We encourage all to apply: Research shows that individuals often hesitate to apply for a role unless they meet every qualification. If you’re excited about this role but your experience doesn’t perfectly align with every qualification in the job description, we encourage you to apply anyway. You may be the right candidate for this role or others within our organization. We value diverse perspectives and backgrounds and are committed to building an inclusive environment.

Please note, you must be authorized to work in the U.S. as we are unable to sponsor visas at this time. In addition, you must live within the continental US.
Archive
Archive
E-Commerce Fashion Marketplace

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