Salary Range: 135000 to 175000 (Currency: USD) (Pay period: per-year-salary)

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