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Data Engineer

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

United States

Offer summary

Qualifications:

Preferred background in Engineering fields, Proficient with SQL, Python, and Pandas, Experience with PostgreSQL or relational databases, Professional experience with data management systems, Bonus: Data visualization and BI tooling experience.

Key responsabilities:

Build extensible data pipelines for integrations
Develop AI use cases alongside product development
Architect internal data infrastructure for analytics
Contribute to reporting practices for stakeholders
Collaborate with technical and non-technical teams

Archive Startup https://www.archiveresale.com/

11 - 50 Employees

See more Archive offers

Job description

Join Archive in our mission to change consumer behavior for the better. If you think humans buy too much stuff and throw too much away, then this problem is for you. We’re starting with fashion and expanding from there.

Archive is the leading technology platform for branded resale. The company works with more than 50 global brands including The North Face, Diane von Furstenberg and New Balance, to develop innovative resale programs that keep products out of landfill.

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

Archive is a Series A startup backed by top-tier investors including Lightspeed and Bain Capital. We’re a fast growing team, working with over 50 brands including The North Face and New Balance. The founders, Emily and Ryan, bring a mix of business and technology experience including 2 startups and a successful exit.

We are honored to be named Fast Company's #2 Most Innovative Company in Retail in 2024.

The team is currently remote-first with a hub office in NY and optional in-person work for those located in the area. We have company offsites twice a year to bring the full team together in person, and occasional travel is expected as part of the job.

We consider applicants of all backgrounds. If you are excited about what we’re building but don't meet some of the criteria above, please don’t let that discourage you from applying. Please note, we are unable to accept applications from candidates outside of the US at this time.

#Remote #LI-Remote