~The all-in-one platform for branded resale~
We power trade-in and resale of beloved brands, delivering sustainable and profitable growth at scale.

~Streamlining Resale-As-A-Channel~
Brands have millions of items owned by customers. Trove’s technology and logistics engine reduces the complexities of getting them back into in-store and digital sales channels and resold to new customers.

~Partnering with the world’s most beloved brands~
Our white label option delivers authentic brand experiences that engage the existing customer while attracting new ones.

~Leveraging products as valuable assets~
Trove provides a true-to-brand resale experience, valuable insights, and the operations for retailers to stand up a scale and profitable resale program.

~Growing into the future~
Our brand partners are forging deeper relationships with their customer that has far-reaching benefits for their business and our collective future.

Eileen Fisher: 107% increase in customer lifetime value
REI: 1M+ pre-loved items sold in 2021
Lululemon: 400+ stores offering point-of-sale trade-in
Patagonia: +80% Online inventory sells within one week
Arc’teryx: 2x growth in trade-ins year over year

Trove

Data Engineer

• Extend and optimize the current ELT pipeline to help assemble complex data sets to address a diverse set of business and data analytics requests. Monitor the performance of data pipelines, troubleshoot and resolve data issues. • Design and develop data marts based on business requirements and data architecture principles. Optimize data mart schema and queries for performance and scalability. • Perform data validation and quality assurance activities to ensure accuracy and integrity of data • Create and maintain documentation for data mart designs, ETL processes, and data mappings • Evolve tools, best practices and processes to enable the Catalog Integration team to ensure catalog quality and freshness • Stay up-to-date with the latest data engineering technologies and best practices

Trove Jobs in New York City

Trove

Senior Data Engineer

Trove