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Our data engineering team is the foundation of this system, ensuring data is accurate, fast, and always available for our models and AI applications.
As a Data Engineer , you’ll design, build, and maintain the data pipelines that power our deep learning, video and LLM systems. You’ll work across ingestion, transformation, and orchestration layers — from real-time feeds to analytics-ready datasets. Your mission is to make data reliable, discoverable, and scalable for use by model training, analytics, and AI-driven products across multiple sports. You’ll collaborate closely with our MLOps , and Sports Data teams to ensure seamless integration between data and AI.
Our data engineering team is the foundation of this system, ensuring data is accurate, fast, and always available for our models and AI applications.
As a Data Engineer , you’ll design, build, and maintain the data pipelines that power our deep learning, video and LLM systems. You’ll work across ingestion, transformation, and orchestration layers — from real-time feeds to analytics-ready datasets. Your mission is to make data reliable, discoverable, and scalable for use by model training, analytics, and AI-driven products across multiple sports. You’ll collaborate closely with our MLOps , and Sports Data teams to ensure seamless integration between data and AI.
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Previous experience with sports, telemetry, or sensor data pipelines.
Familiarity with streaming frameworks and event driven data processing (Kafka, Spark Structured Streaming, Flink).
General knowledge of American football, the NFL, and college football.
Background in data governance, lineage, and observability tools (Monte Carlo, Great Expectations, Unity Catalog, OpenLineage).
Experience designing semantic layers or metric definitions consumed by AI and BI tools.
Exposure to best practices in machine-learning model management and MLOps.
AI-powered football intelligence company serving professional and collegiate teams with scouting, roster, and performance analytics.
Visit company websiteJobs and hiring trendsUSD 160000-190000 yearly / year
Full-time
Mid · 3+ years experience
Remote
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