Data Engineer, League Analytics & Infrastructure

New Yorkonsitemid$115K$140K

via Greenhouse

About this role

Major League Baseball is scaling the data platform that powers America's pastime — and we need a builder to help us do it. The League Analytics & Infrastructure (LAI) team operates the cloud foundation behind every analytics decision at MLB from Statcast player-tracking pipelines processing millions of pitch-level events to the baseball operations data that informs decisions for 30 Clubs and the Commissioner's Office. We are continuing a multi-year evolution of our GCP-native lakehouse — building out our dbt transformation layer, hardening our Airflow orchestration, and pushing more of our infrastructure into code. You will be a core contributor to that build.…

Read the full description on Majorleaguebaseball'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, sql, bigquery, azure, gcp…

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 based in New York. 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.

pythonsqlbigqueryazuregcpgoogle cloudterraformairflowdbtgeminivertex aiteamslever

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