Offer summary

Qualifications:

Engineering background in relevant fields, Proficiency with large datasets and data languages, Experience with PostgreSQL or similar databases, Professional experience with data management systems.

Key responsabilities:

Build data pipelines integrating brand catalog data

Develop and deliver reporting practices for decision making

Job 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.

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