Senior ML/Data Engineer — Real-Time Sports AI Infrastructure

Catapult; New York (NY); On-site; USD 157,945 - 259,480; Full time

Benefits offered by this job

Health, Dental, and Vision insurance

401(k) retirement plan with company 1:

Generous paid leave and recognized all

Company holidays

Job summary

Catapult is building the future of sports performance technology. We’re developing an AI-driven platform that turns vast athlete data into actionable insights used by coaches and teams worldwide.

This data foundation role owns the infrastructure for AI agents: data architecture, feature store, sport knowledge graph, and evaluation framework to ensure trustworthy recommendations before they reach practitioners. Join a high-impact, growth-focused team.

Qualifications

• 5+ years of production data engineering at scale.
• Experience building probabilistic evaluation frameworks or model calibration infrastructure.
• Strong Python, Golang and SQL; streaming ingestion for live data.
• Graph database experience and tenant-level data isolation at scale.

Responsibilities

• Own the data infrastructure that AI agents reason over, ingest, store, and serve athlete performance data at scale with client isolation and trustworthiness.
• Build the feature store and sport knowledge graph; create evaluation framework to validate recommendations before output.
• Collaborate with domain scientists and AI engineers to translate sport science requirements into production-grade infrastructure.

Skills

Production data engineering

Time-series data

Python

Golang

SQL

Data lakes

Feature stores

Tenant-level isolation

Tools

Time-series databases

Data lakes

Feature stores

Graph database

Postgres

MongoDB

AWS

REST

gRPC

GraphQL

Job description

Catapult is building the future of sports performance technology. We’re developing an AI-driven platform that turns vast athlete data into actionable insights used by coaches and teams worldwide.

This data foundation role owns the infrastructure for AI agents: data architecture, feature store, sport knowledge graph, and evaluation framework to ensure trustworthy recommendations before they reach practitioners. Join a high-impact, growth-focused team.