Data Engineer

Motion Recruitment Partners LLC; New York (NY); Remote; USD 90,000 - 150,000; Full time

Job summary

An innovative company is seeking a Senior Data Engineer to enhance their e-commerce platform during a period of rapid growth. This role involves developing and optimizing data systems, building robust pipelines, and automating workflows using Python and AWS services. You will play a crucial role in integrating complex data sources and driving initiatives that support decision-making across the business. With a focus on data integrity and reconciliation, you will help improve catalog accuracy and understand customer behaviors in a subscription-based model. Join a dynamic team and contribute to impactful projects that shape the future of fashion and luxury.

Benefits

Competitive salary

Remote-friendly role

Career growth opportunities

Learning opportunities

Collaboration with a world-class team

Qualifications

• 4+ years of data engineering experience in high-growth environments.
• Strong Python skills and AWS services experience.

Responsibilities

• Design and maintain reliable ETL/ELT pipelines for data ingestion.
• Collaborate with Finance and Ops to track key metrics.

Skills

Data Engineering

Python

AWS (Lambda, S3, Glue, RDS, Redshift)

SQL

Cloud Data Warehouses (Snowflake)

Subscription Business Models

Tools

Stripe

Google Sheets

BI Tools (Sigma, Looker, Tableau)

Job description

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