Senior Engineer, Data

What you’ll get up to:

• Build our Data Platform: Design and own a cloud-native big data platform handling audience data for millions of attendees and billions of interactions a year.
• Build our ML Platform: Design and own the infrastructure that takes models from experiment to production — feature stores, training pipelines, model serving, and monitoring.
• Own the Full Pipeline — and Its Business Impact: From Change Data Capture through validation, transformation, and denormalization — you drive the stack end to end.

What you bring:

• 8+ years of hands-on data engineering experience with large-scale distributed data and ML systems in production.
• Core ML foundations and feature engineering with Python ML tooling (pandas, scikit-learn).
• Production ML pipelines and MLOps practices: experiment tracking, model versioning, deployment, and monitoring.

Who you are:

• Comfortable operating independently and making progress in ambiguous, fast-changing environments.
• Biased toward action. You’re willing to make decisions with imperfect information and iterate quickly.
• Skilled at troubleshooting complex ML systems and building durable solutions when things break.