Data Engineer, Revenue and Energy Supply

Cupertinoonsitemid$180K – $235K

via Greenhouse

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About this role

The role Gridmatic’s business is complex, and we need to build a robust data layer to be able to answer core questions around profit and loss and how to best optimize our renewable supply. We’re looking for a startup-minded data engineer who can wear a lot of hats, work with multiple teams, and build the data platform needed to support answering these questions. What you might work on: Revenue analytics. Building a unified set of financial data across trading, battery storage, and energy sales, allowing us to have a clear real-time view of revenue and PnL - an essential part of being an energy supplier. Energy supply analytics. Building tooling and infra so we can grow our renewable supply, e.g. tooling to easily simulate additional hypothetical renewable resources.…

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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, sql, airflow, prefect, dagster…

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.

pythonsqlairflowprefectdagsterdbtteams

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