Data Engineer

Job description

As a Data Engineer, you will own key parts of the pipeline lifecycle—from ingesting source data through transformation, testing, and publishing trusted datasets for downstream consumers. You’ll partner closely with analysts and stakeholders to turn questions into durable data products, improve reliability and observability, and help standardize patterns that scale across teams. Success in this role looks like dependable pipelines, well-modeled data, and faster delivery of insights. Responsibilities: Qualifications: - Design, develop, and maintain robust, scalable data pipelines and ETL/ELT workflows to support analytics, reporting, and machine learning initiatives - Build and optimize data models (dimensional, relational) across structured and semi-structured data sources including ticketing, fan engagement, broadcasting, and sponsorship data - Develop and maintain production-grade Python applications and scripts for data transformation, API integrations, and automation - Engineer solutions on Databricks or Snowflake for large-scale data processing, lakehouse architecture, and advanced analytics - Build and deploy serverless data solutions using Azure Functions for event-driven pro...