Senior ML/Data Engineer — Real-Time Sports Analytics Infra

Catapult; New York (NY); On-site; USD 158,000 - 259,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401(k) with company match

Paid leave

Job summary

Catapult is seeking a Senior ML/Data Engineer to build the data infrastructure powering next-generation performance intelligence. You will own architecture for ingestion, storage, transformation, serving, and evaluation of athlete data across a global multi-tenant platform.

You will collaborate with data scientists, ML engineers, software engineers, and sports scientists to create reliable, scalable production systems and to translate complex requirements into durable systems.

Qualifications

• 5+ years of full-time professional software or data engineering experience.
• Proven experience designing, building, and operating production data infrastructure at scale.
• Strong Python and SQL skills; Go is a plus.

Responsibilities

• Design and build production data infrastructure for high-volume athlete performance and sensor data.
• Build and operate real-time and near-real-time ingestion systems for streaming data.
• Design storage and data architectures for high-volume time-series data and longitudinal athlete records.
• Build infrastructure that makes production features and derived metrics available to ML systems with low latency.
• Design and implement graph data models and schemas representing relationships between athletes, training loads, injuries, performance, and outcomes.

Skills

Python

SQL

Go

Production systems

Tools

Kafka

Kinesis

Flink

Spark Streaming

TimescaleDB

InfluxDB

Prometheus

Graph databases

Job description

Catapult is seeking a Senior ML/Data Engineer to build the data infrastructure powering next-generation performance intelligence. You will own architecture for ingestion, storage, transformation, serving, and evaluation of athlete data across a global multi-tenant platform.

You will collaborate with data scientists, ML engineers, software engineers, and sports scientists to create reliable, scalable production systems and to translate complex requirements into durable systems.