Senior ML/Data Engineer

Catapult is building the AI layer for elite sports performance. This senior production engineering role involves owning the architecture for ingesting, storing, transforming, serving, and evaluating athlete performance data. The systems built will support real-time and machine learning use cases across a global, multi-tenant platform. You'll design data infrastructure, streaming ingestion, time-series storage, graph data models, and ML evaluation frameworks. The role requires deep technical and

5+ years professional full-time software or data engineering experience (excluding internships, placements, coursework). Proven experience designing and operating production data infrastructure at scale. Strong time-series data (InfluxDB, TimescaleDB, Prometheus, ClickHouse) and real-time streaming (Kafka, Kinesis, Flink, Spark Streaming, Pulsar) experience. Experience with graph data models and multi-tenant data isolation. Strong Python and SQL; Go highly desirable. Experience working with data