Senior ML/Data Engineer
Catapult Sports · New York, NY
$157,945–$259,480from the description
Jul 24, 2026
New York, NY
Jul 25, 2026
What this job asks for AI summary
This is a senior data engineering role focused on building the AI data foundation for a sports performance intelligence platform. The work centers on designing and owning core infrastructure — including a feature store, sport knowledge graph, time-series data architecture, and model evaluation frameworks — that AI agents will reason over. It suits engineers with production-scale experience in real-time data systems, graph databases, and probabilistic model trustworthiness.
Senior level · 5+ years · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $142,568 (middle half $111,775–$173,013). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
This posting contains a significant internal inconsistency: the 'WHAT YOU'LL DO' section describes a senior People & Culture (HR) Business Partner role for the EMEA region (workforce planning, employee experience, DEI, talent acquisition), while the title framing, 'WHAT YOU'LL NEED', 'STRONGLY PREFERRED', and 'THE STACK' sections describe a highly technical data/AI infrastructure engineering role. These appear to be two entirely different job descriptions merged into one posting. The extraction here is based on the technical engineering role, as that is the role the requirements and compensation context most clearly describe.
No explicit job title is given in the posting. The role is framed as a senior data infrastructure/AI platform engineer ('the data foundation of that platform', 'own the infrastructure every AI agent reasons over').
No work location is specified beyond the compensation range suggesting a US-based role. The EMEA framing in the People & Culture section is attributed to the conflated HR role and is not applied here.
The compensation range of $157,945–$259,480/year is stated as inclusive of base salary plus a target incentive plan (equity, commission, or other bonus).
AWS appears only in the 'STRONGLY PREFERRED' section alongside GraphQL, REST, gRPC, Postgres, and Mongo — all treated as preferred.
The role is classified as 15-1243 (Database Architects) given the primary emphasis on designing data architecture, feature stores, graph schemas, and evaluation frameworks at scale. 15-1252 (Software Developers) is a close runner-up given the strong software engineering requirements (Python, Golang, streaming systems).
Read the full posting
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