Software Engineer, ML Data Reliability

Cupertinoonsitemid$180K – $270K

via Greenhouse

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About this role

The role We’re looking to hire our first data software engineer at Gridmatic! Looking for a startup-minded eng who works closely with our ML and optimization teams to ingest and transform the data critical to all the work we do. We use a lot of interesting real-world data - large-scale weather forecasts, timeseries data from the grid and energy markets, and telemetry from physical batteries. We’re looking for a hybrid software and data engineer who’d be able to take ownership of this area to both make sure the data is ingested and transformed reliably, and also be able to build the tooling/abstractions to make our pipelines better. What you might work on:…

Read the full description on Gridmaticinc'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: python, postgres, bigquery, gcp, kubernetes…

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 Cupertino. We weight your proximity and willingness to relocate.

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Skills in this role

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

pythonpostgresbigquerygcpkubernetesterraformsparkkafkaflinkbeamdbtteams

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