About the Role
- Build extensible data pipelines for integrations between the Archive platform and brand systems
- Develop use cases for AI applications on top of data alongside product development
- Architect internal data infrastructure to power product metrics and analytics
- Contribute to and develop reporting practices for internal and external use
About You
- You love working with data and solving complex problems with elegant solutions using code
- You have the ability to continuously learn, work independently, and take initiative
- You’re highly analytical and have an eagerness to tackle problems across the business
- You have excellent communication skills, with the ability to collaborate effectively in teams of technical and non-technical individuals
- You are mission driven and love the fact that the better we do as a company, the less waste we’ll see in the world
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
Our Stack
- Frontend: Next.js + React + Redux + Apollo Client (TypeScript)
- Backend: Node.js (TypeScript), Hasura GraphQL Engine, Python
- Database: PostgreSQL
- Infrastructure: AWS, Vercel, Palantir Foundry, Snowflake, Hex
- Collaboration: GitHub, Linear, Notion, Slack
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