H
HausStaff Backend Engineer - Data Platform- San Francisco
remotestaff$180K – $220K
via Ashby
About this role
About Haus
Haus is the causal marketing platform top businesses trust to optimize billions in ad spend worldwide. With support from PhD economists, data scientists, and growth experts, Haus’ AI-driven technology translates complex marketing measurement into clear action and outcomes, enabling brands like Dyson, Wayfair, Sonos, Fanduel, SharkNinja, and Intuit to optimize spend, accelerate growth, and make smarter marketing decisions at scale.
THE ROLE
This backend role is centered on developing workflows to help customers connect their data and to configure the ingestion of that data with little to no human intervention. You will be a key part of the onboarding experience for customers as well as Haus’s efforts to scale and efficiently service an ever-expanding customer base.…
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, react, databricks, bigquery, aws…
2
Level fit
This role is staff-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 remote-eligible — we factor in your stated location and time-zone overlap.
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.
pythonreactdatabricksbigqueryawsgoogle cloudterraformairflowdagsterdbtteams