Data Engineer
United Statesonsitemid
via Greenhouse
About this role
About the Role
The data engineer role is changing. The traditional pattern - build a pipeline, hand it off, wait for someone else to figure out if the data is right - doesn't work anymore. The engineers who create the most value now are the ones who go deep into the business domain, understand the problem firsthand, and use AI tools to move from question to working solution in hours instead of sprints.
The Analytics team is looking for a Senior Data Engineer who operates as a hybrid technical product owner: someone who builds and maintains the data platform on Azure Databricks, but who also sits with business stakeholders, interrogates the problem, and owns the outcome end-to-end.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, go, sql, snowflake, databricks…
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in United States. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythongosqlsnowflakedatabricksazuresparkpysparkpower biclaudejirasalesforce