catapultsports
Senior ML/Data Engineer
At a Glance
- Location
- New York, United States
- Experience
- 5+ years
- Compensation
- on range for this position is $157,945 - $259,480 per year. This range is inclu
- Posted
- 2026-07-25T10:00:58-04:00
Key Requirements
Required Skills
Domain Knowledge
- Engineering
- IoT
Benefits & Perks
Health, Dental, and Vision insurance, and 401(k) retirement plan with compan
Requirements
5+ years of production data engineering at scale, time-series databases, data lakes, feature stores in a real-time or near-real-time environment
Experience building probabilistic evaluation frameworks or model calibration infrastructure, you understand the difference between a model that works and a model that is trustworthy
Strong Python, Golang and SQL; experience with streaming ingestion (not batch-only) for live sensor or IoT data
Production experience with tenant-level data isolation at the infrastructure level, not just access control
Comfort working directly with domain scientists and AI engineers; you translate data requirements into durable infrastructure, not just pipelines
Background in sports technology, wearable sensor data, or biomechanics data, you understand what makes athlete time-series data structurally different from standard telemetry
Compensation & Benefits
The target Total Compensation range for this position is $157,945 - $259,480 per year. This range is inclusive of base salary and a target incentive plan (which may include equity, commission, or other bonus structures).
Your specific compensation within this range will be determined by factors such as your geographic location, relevant experience, and job-related skills.
In addition to this compensation, Catapult also offers generous paid leave and recognized company holidays, and the opportunity to participate in our comprehensive benefits package, including Health, Dental, and Vision insurance, and 401(k) retirement plan with company match.
Whether you’re interested in sports or not, you’ll have the satisfaction of knowing your work is supporting some of the most successful teams and athletes on the planet!
Research shows that while men apply for jobs when they meet an average of 60% of the criteria, women and other marginalized groups tend only to apply when they check every box. So if you have what it takes, but don't meet every single point in our job ad, please still get in touch! We would love to have a chat and see if you could be a great addition to our team. We are building the future of sports performance. Our priority is to find the brightest talent who can add to our team culture, actively contribute, and be excited about what they do.
All offers of employment are subject to Catapult's positive prehire check. To find out more, please contact the Talent Partner for this role.
Responsibilities
Provide hands-on support and strategic partnership to leaders, teams, and employees, ensuring people strategies are aligned with business goals.
Leverage data and insights to identify trends, inform decision-making, and influence strategic outcomes.
About the Company
Catapult Sports is the global leader in athlete performance technology, trusted by elite clubs and national programs across every major sport on every continent. Our hardware and software platforms are on the training ground and in the arena with the best teams in the world — and we have been there, continuously, for over two decades.
We are now building the AI layer that compounds everything Catapult has ever measured. The goal is ambitious: to become the indispensable intelligence partner for every coach and athlete in every sport — a system that connects the full depth of performance data and surfaces the right insight at the right moment, with the confidence to act on it.
This role is the data foundation of that platform. You will own the infrastructure every AI agent reasons over: the data architecture, the feature store, the sport knowledge graph, and the evaluation framework that makes every recommendation trustworthy before it reaches a practitioner. This is not a support role or a pipeline maintenance job. It is the highest-leverage engineering position in Phase 1 of a platform that will define what performance intelligence means in professional sport.
If you have built data infrastructure at scale — time-series, feature serving, graph — and you care deeply about whether the systems you build are actually trustworthy, not just functional, this is the role that will define your next chapter.