Data Engineer

remotemid

via Ashby

About this role

What We're Looking For Diffractive Labs is building the infrastructure to accelerate the discovery of novel magnetic materials through closed-loop AI and physical experimentation. As our Data Engineer, you will own the data architecture that powers this research. This role requires a builder who understands both large-scale machine learning pipelines and the messy reality of physical lab data. You will serve as the critical link between experimental results generated at the bench and the models evaluating them, ensuring our research team always has the exact, high-quality datasets required to push the frontier of materials science.…

Read the full description on Diffractivelabs'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.

1

Skills match

For this role: python, kubernetes, docker, airflow, prefect…

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 remote-eligible — we factor in your stated location and time-zone overlap.

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.

pythonkubernetesdockerairflowprefectdagster

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