Senior ML/Data Engineer at Catapult Sports | NY, US | Rezi

Senior ML/Data Engineer at Catapult Sports

Senior ML/Data Engineer

Catapult Sports · NY, US

3 days ago

Senior ML/Data Engineer

Catapult Sports · NY, US

4 days ago
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About the Role

Catapult is building the AI layer that compounds everything the company has ever measured, aiming to become the indispensable intelligence partner for every coach and athlete. This role is the data foundation of that platform, owning the infrastructure every AI agent reasons over, including data architecture, feature store, sport knowledge graph, and evaluation framework. This is a high-leverage engineering position in Phase 1 of a platform that will define performance intelligence in professional sport.

Responsibilities

  • Develop and execute strategic workforce plans.
  • Coach senior leaders on organizational design, change management, communication, and talent development.
  • Shape culture and values by identifying organizational needs and implementing impactful, scalable people solutions.
  • Drive a consistent, high-quality employee experience across the EMEA region.
  • Provide hands-on support and strategic partnership to leaders, teams, and employees.
  • Partner with the Talent team to deliver strategic initiatives.
  • Mentor and lead regional P&C team members.
  • Leverage data and insights to identify trends, inform decision-making, and influence strategic outcomes.

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.
  • Strong Python, Golang and SQL.
  • Experience with streaming ingestion for live sensor or IoT data.
  • Graph database experience: designed schemas for complex relationship networks.
  • Production experience with tenant-level data isolation at the infrastructure level.
  • Comfort working directly with domain scientists and AI engineers.
  • Experience with causal inference or counterfactual modeling over graph structures (strongly preferred).
  • Background in sports technology, wearable sensor data, or biomechanics data (strongly preferred).
  • Experience building knowledge graphs with custom ontologies for a specific domain (strongly preferred).
  • Familiarity with LLM evaluation frameworks and their limitations (strongly preferred).
  • Experience working with AWS (ECS, EC2, Lambda, SNS, SQS, etc), GraphQL, REST, gRPC, Postgres, Mongo (strongly preferred).

Skills

  • Python
  • Golang
  • SQL
  • Graph database design
  • Streaming ingestion
  • Causal inference
  • Counterfactual modeling
  • Knowledge graphs
  • LLM evaluation frameworks
  • AWS
  • GraphQL
  • REST
  • gRPC
  • Postgres
  • Mongo

Experience Level

  • 5+ years of production data engineering

Salary/Compensations

  • $157,945 - $259,480 per year

Benefits

  • Generous paid leave
  • Recognized company holidays
  • Comprehensive benefits package
  • Health insurance
  • Dental insurance
  • Vision insurance
  • 401(k) retirement plan with company match

About the Company

  • Catapult is building the future of sports performance technology with a mission to Unleash the Potential of every athlete and team.
  • Since 2006, our solutions have been leading the way in sports performance software, science, and data.
  • We work with over 5,000+ teams around the world, empowering coaches, managers and trainers in premier teams.
  • Catapult is a sports technology company that empowers professional teams to make data-driven decisions.
  • We deliver health, performance, video, and AI insights from the locker room to competitive environments.
  • 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.
  • Catapult has spent twenty years collecting ground-truth athlete data from hardware on the body and on the field, across 40+ sports and 100+ countries.

Equal Opportunity

  • 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.