We’re building the future of how this generation experiences fashion and luxury—and we’re looking for a seasoned Senior Data Engineer to help us scale during an exciting period of growth. This role will focus on developing and optimizing the data systems that power our e-commerce platform, internal operations, and financial analytics.
You’ll be responsible for building robust pipelines, integrating complex data sources, and driving initiatives that support decision-making across the business. This includes automating financial reconciliation, improving catalog accuracy, and helping us better understand our customers across a subscription-based rental model.
Required Skills & Experience
4 + years of data engineering experience, ideally in high-growth or startup environments
Strong Python skills, with hands-on experience automating data workflows
Proficiency with AWS services including Lambda, S3, Glue, RDS, and Redshift
Deep experience with SQL and relational databases
Experience with cloud data warehouses like Snowflake
Strong grasp of subscription business models and tools like Stripe Subscriptions
Experience reconciling and validating data across multiple systems
What You'll Be Doing
Design and maintain reliable ETL/ELT pipelines ingesting data from systems like Stripe, Google Sheets, and backend databases
Automate workflows and data transformations using Python and AWS services (Lambda, Glue, S3, RDS, Redshift)
Ensure data integrity and reconciliation across customer, financial, and catalog datasets
Collaborate with Finance and Ops teams to track key metrics such as revenue, churn, and subscription activity
Support both B2B and B2C e-commerce analytics pipelines, including product catalog syncing across platforms
Build internal tools, dashboards, and reports using BI tools like Sigma, Looker, or Tableau
Support cross-functional teams with strategic insights, enabling data-driven decisions across departments
Bring together disparate datasets to produce coherent analysis that supports executive-level decisions
The Offer
Competitive salary and benefits
Remote-friendly role
Significant opportunities for career growth, learning, and working closely with a world-class research and engineering team
Posted By: Fedro De Tomassi
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