Remote, Remote, USA


The data engineering team is a small, nimble group of data engineers that drive the company toward clean and informative data. As a member of the data engineering team, you’ll contribute toward a clear, concise data model to help power data science, ETLs and tools to make us efficient, as well as self-service data and tools to facilitate scalable decision-making.  As a team, we are driven by the thrill of helping our colleagues use data with less friction, which ultimately increases the velocity at which the business can progress!


  • Individual contributor position on the data engineering team, within our Algorithms organization, working with a team that focuses on our Marketing data infrastructure
  • You will build and own large additions to our data engineering framework, contributing to a code framework that centralizes ETL logic and definitions
  • You will help to define, build and maintain a clear, concise data model, especially focused on scalable analytics infrastructure
  • You will build scalable data engineering solutions & frameworks to solve business and data problems
  • You will be involved in the day-to-day operations of the team, including maintaining and improving our current tools & scripts and supporting data that powers our business
  • You will have autonomy to help shape the future of data engineering at Stitch Fix by bringing your ideas on improving and automating what we do and how we do it


  • You will work with a variety of cross functional partners from marketing analysts and data scientists as well as our third party vendors to deliver up-to-date metrics on our Marketing organization
  • You will focus on our marketing data infrastructure, optimization, and scalability
  • Be part of a fast-growing team which has high visibility across the organization
  • Contribute ideas and direct the team’s investment to impactful directions
  • Contribute to a culture of technical collaboration and scalable development
  • 3+ years of independent and significant project experience
  • Experience in building out data models and data engineering capabilities
  • Experience coding and designing extensible and reusable Python and SQL
  • Experience in working autonomously and taking ownership of projects.
  • Ability to think globally, devising and building solutions to meet many needs rather than completing individual projects or tasks
  • Strong prioritization skills with business impact in mind
  • Familiarity with using Spark to access an S3 data warehouse
  • Strong cross functional communication skills that help simplify and move complex problems forward with business partners

Source: Python.org Jobs Feed