Senior Python Engineer

Data PlatformRemote (worldwide)Full time

Take the models from research to production and keep them there. You'll build the pipelines that assemble training data, the services that serve predictions during a live slate, and the grading jobs that score every pick against the final box score — then make all of it reliable enough that nobody has to babysit it on a Sunday.

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What you'll do

Build production data pipelines that land raw feeds in S3 and modeled tables in Postgres on a schedule.
Ship model-serving containers to Cloud Run and ECS Fargate with predictable latency under slate-day load.
Serve precomputed features and predictions from DynamoDB where the app needs single-digit-millisecond reads.
Own the grading jobs that settle every logged bet against the official result, and the writes that surface the result in the app.
Set the engineering standard for the data codebase: typing, tests, and reproducible runs.

What we're looking for

Senior-level Python with real production ownership, not notebook-only experience.
Experience with orchestration (Airflow, Prefect, or similar) and with idempotent, retryable jobs.
Strong SQL and comfort designing analytical schemas in Postgres.
Practical AWS and GCP experience — S3, DynamoDB, and Fargate on one side, Cloud Run, Cloud SQL, and Pub/Sub on the other.
A track record of taking someone else's model and making it run every day without drama.

Nice to have

You have been on call for a pipeline that had to be right by kickoff.
Experience with a feature store, or with the reasons you chose not to use one.
Comfort pairing with a data scientist and turning a notebook into a service without rewriting it twice.

What you'll work with

PythonAirflowPostgresDynamoDBS3Cloud RunECS Fargate

How hiring works

1. ApplyEmail careers@statsniper.com with the role in the subject line, your resume or GitHub, and a short note on what you'd want to own.

2. Intro callA 30-minute conversation about your background, what you're looking for, and what the role actually involves day to day.

3. Working conversationA working session on a real problem from our domain. No algorithm trivia and no unpaid take-home project.

4. OfferA final conversation with the founding team, then a decision. We aim to go from first email to offer in under two weeks.

Interested?

Email us with Senior Python Engineer in the subject line, your resume or GitHub, and a short note on what you'd want to own. We reply to everyone.

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