Senior Data Engineer

About Company:

We are building a company that could be equivalent in scale and relevance to Amazon. Sounds like an exaggeration — but let us explain how we view the market.

Amazon and ecommerce in general have completely disrupted the "last mile"​ — from ordering products to getting those products delivered. But the "first mile"​ in the supply chain, where the product is actually produced, hasn’t changed in over a hundred years. In spite of that, its value is immense and only keeps growing. Fashion manufacturing alone is a $1.2Tn space.

We're building an on-demand manufacturing platform that meets the needs of the 21st century and a social media economy. We bootstrapped our way to a $15M run rate and just closed a $10M Series A with a top-tier Silicon Valley VC. We believe we can create enormous value and literally change the world by making manufacturing accessible to everyone.

Roles and Responsibilities:

Strong understanding of the AWS ecosystem, including RDS and Redshift

Strong understanding of data warehousing, able to independently architect and build data pipelines

Able to independently build and maintain data lakes

Strong understanding of ETL processes

Strong understanding of data querying and optimization

Strong programming background

Familiarity with data visualization tools such as Tableau, Looker, or Splunk and able to create dashboards to present high-level data

Communication skills, especially explaining technical concepts to non-technical business leaders

Competency with Python or another programming language

Nice to have:

Familiarity with with Click Up

Accustomed to mid-size teams with 2-week sprints, TDD