Overview
On Site
160k - 190k
Full Time
Skills
FOCUS
Decision-making
Data Engineering
Startups
SQL
Relational Databases
Cloud Computing
Data Warehouse
Snow Flake Schema
Extract
Transform
Load
ELT
Database
Workflow
Python
Amazon Web Services
Amazon S3
Amazon RDS
Remote Desktop Services
Amazon Redshift
Data Integrity
Collaboration
Finance
Business-to-business
Retail
Electronic Commerce
Analytics
Dashboard
Business Intelligence
Tableau
Research
Job Details
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
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
- 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
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