DatabricksEngineering - Pipeline

Systems PhD - Software Engineer

Mountain Viewonsitemid

via Greenhouse

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About this role

P-1299 Databricks is radically simplifying the entire data lifecycle, from ingestion to generative AI and everything in-between. We’re doing it cross-cloud with a unified platform, currently serving over 10k customers, processing exabytes of data/day on 15+ million VMs, and growing exponentially. To make it happen we’re building multi-cloud systems at every corner of the data ecosystem, from query engines, vector databases, training pipelines, and storage systems, down to the infrastructure that allows them to scale like auto-sharders, caches, and load balancers, just to name a few. We also build and support the tooling, languages, and stacks that bring it together. Basically, we do it all.…

Read the full description on Databricks's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

Skills match

For this role: databricks, spark

Level fit

This role is mid-level. We check your trajectory against it.

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

Location fit

This role is based in Mountain View. We weight your proximity and willingness to relocate.

Score yourself on this role.

Free · no card · written explanation included

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

databricksspark

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