Stitch Fix
Retail
DataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer at Stitch Fix. Skills: Data engineering, Scalable solutions, Generative AI. Build data engineering framework additions. Centralize ETL logic”
Industry & Context.
Problem-solving
What They're Looking For.
Must Have
Degree in engineering or computer science, 2+ years of work experience in data engineering, Experience in data modeling, Experience in data job development, Experience coding at a production level in Python, Experience coding at a production level in SQL
Nice to Have
Familiarity with Spark, Familiarity with dbt, Familiarity with Fivetran, Familiarity with Airflow, Experience partnering cross-functionally, Experience gathering input from stakeholders
What You'll Do.
Build data engineering framework additions
Centralize metric definitions
Design scalable data engineering solutions
Build scalable data engineering solutions
Solve business problems
Contribute to technical collaboration
Contribute to scalable development
Contribute ideas to team investment
Direct team's investment
Document effective prompts
How You'll Work.
Team & Collaboration
Technical collaboration; Cross-functional partnering; Gathering input from stakeholders
Communication Scope
Proactive communicator; Simplify complex problems; Move complex problems forward
Full Job Description
About Stitch Fix, Inc. Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we’re equally committed to building yours. We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what’s possible for our clients, while we help you reach your full potential. About the Role In this role you will have the chance to build large additions to our data engineering framework, contributing to an infrastructure that centralizes ETL logic and metric definitions. You will have autonomy to design and build scalable data engineering solutions to solve business and data problems. Responsibilities: Contribute to a culture of technical collaboration and scalable development Contribute ideas and direct the team’s investment to impactful, data-driven directions Be part of a team which has high visibility across the organization About You This is what you’ll need to succeed in this role from day 1. Requirements: You have a degree in an engineering or computer science field You have 2+ years of work experience in data engineering or closely related field, with strong experience in data modeling and data job development You have some familiarity with using technologies like Spark, dbt, Fivetran, & Airflow to access an S3 data warehouse You have experience with AI coding agents such as Claude Code, Codex, etc. and enjoy using them to streamline day-to-day tasks like testing and problem-solving, actively documenting effective prompts and sharing learnings to build scalable, repeatable workflows. You have experience partnering cross-functionally and enjoy gathering input from stakeholders You are a proactive communicator who helps simplify and move complex problems forward You have experience coding at a production level in Python and SQL You are innovative and inspired to take on new challenges a
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