Data Engineer - Scaled Experimentation
Core
Own the data backbone of the internal Experimentation Platform, specifically the Metric Store and evaluation data pipelines.
Role type
Senior Data Engineer (Experimentation Platform)
Builds
Metric Store service, evaluation pipelines, monitoring systems, and CI/CD infrastructure for A/B testing and feature flags.
Domain
Sports/Gaming technology, Experimentation infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Python, FastAPI, SQL, Airflow, Snowflake, Kubernetes, GitOps, Docker, Prometheus, Grafana
Preferred skills
Data cataloging (DataHub/Acrol), TypeScript/React, Experimentation concepts (SRM, CUPED, holdouts), AI-assisted tooling
Technologies
Python, FastAPI, Airflow, Snowflake, Kubernetes, GitHub Actions, Prometheus, Grafana, DataHub, Docker
Responsibilities
Own and evolve the Metric Store definition repository and service layer; Build and maintain evaluation/monitoring pipelines in Airflow on Snowflake; Deploy services to production end-to-end; Investigate data quality and trust issues; Collaborate with backend engineers and data scientists on experiment setups.
Seniority
Senior, hands-on IC
