Hiring: Senior Data Engineer Company: Catapult Location: New York City Metropolitan Area Job Posted Time: 2026-09-10 11:21:27 Employment Type: Full-time Target Skills & Keywords : AWS, ClickHouse, Data Lake, Design System, EC2, ECS, Flink, GraphQL, InfluxDB, Kafka, Kinesis, LLM, Lambda, Machine Learning, MongoDB, Neo4j, PostgreSQL, Prometheus, Pulsar, Python, REST, SNS, SQL, SQS, Spark, TimescaleDB, gRPC About the job Experience: •5+ years of full-time professional software or data engineering experience, excluding internships, university placements, coursework, and academic projects. Required Skills: •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 machine learning systems and AI agents with low latency. •Design and implement graph data models and schemas representing relationships between athletes, training loads, injuries, performance, and outcomes. •Build data and ML evaluation infrastructure that helps measure model reliability, calibration, and performance across real-world cases. •Design systems that maintain strong tenant-level data isolation across clubs and customers. •Establish appropriate data provenance, lineage, auditability, and observability across the platform. Compensation: •$157,945 - $259,480 / year •Competitive benefits and rewards package •This range is inclusive of base salary and a target incentive plan, which may include equity, commission, or other bonus structures Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!