LEGENDS & ASM GLOBAL Two powerhouse companies have joined forces to redefine excellence in sports, entertainment, and live events. Together, we combine unmatched expertise with a global reach, offering end-to-end solutions – from venue development and event booking to revenue strategy and hospitality. Legends brings a 360-degree, data-driven approach across Global Partnerships, Hospitality, Merchandise, and Attractions, working with top-tier clients to deliver exceptional experiences. ASM Global, the world leader in venue management and live event production, oversees 350+ iconic venues stadiums, arenas, conventions centers and theaters. Our organization is committed to building an inclusive, innovative environment where differences drive solutions that benefit our team members, guests, and partners. Guided by our values of respect, integrity, and accountability, we create a workplace where everyone can succeed. Are you ready to be part of the team that is transforming live entertainment? Join us to make legends happen! THE ROLE We’re seeking a Data Engineer with at least two years of hands-on experience in Azure Databricks and at least four years in data engineering to help modernize and scale our analytics platform. You’ll work closely with BI Engineers, Data Scientists and Data Analysts to deliver cloud-native, scalable, and fault-tolerant data pipelines ensuring high-quality analytics-ready data for downstream consumption. ESSENTIAL FUNCTIONS + Integrate data from diverse sources including REST APIs, sFTP, Dropbox, and SharePoint. + Migrate legacy data pipelines (SSIS, Data Factory) to Databricks. + Design, develop, and maintain data pipelines using Databricks Lake flow and Delta Lake. + Profile source data, perform source-to-target mapping, and model data into dimensional models following the Databricks Medallion architecture. + Implement CI/CD workflows in Azure Dev Ops and Databricks Asset Bundles following dev-ops coding and deployment standards. + Implement data quality, reliability, and scalability best practices. + Partner with analytics teams to deliver data solutions that drive insights. QUALIFICATIONS + Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent experience + Minimum four years working experience in data engineering. + Minimum two years working experience in Databricks (Azure Databricks a plus). + Experience with DevOps practices, including CI/CD pipelines and infrastructure-as-code tools (Terraform/DABs). + Strong skills in Python (particularly PySpark), DBSQL, and cloud-based data architectures. + Experience with Azure resources or similar (Functions, Blob Storage, Key Vault, DevOps). + Proven ability to work with dimensional modeling and large-scale datasets. + Excellent collaboration skills with BI, analytics, and data science teams. BONUS + Experience with hospitality/retail POS transaction data + Experience with ETL tools like SSIS + Experience with popular iPaaS platform like Fivetran, SnaplogiC COMPENSATION Competitive salary, commensurate with experience, and a generous benefits package that includes medical, dental, vision, life and disability insurance, paid vacation, and 401k plan. WORKING CONDITIONS Location: Hybrid/ Remote (Chicago, IL or Dallas, TX) PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. NOTE: The essential responsibilities of this position are described under the headings above. They may be subject to change at any time due to reasonable accommodation or other reasons. Also, this document in no way states or implies that these are the only duties to be performed by the employee occupying this position. Legends & ASM Global is an Equal Opportunity/Affirmative Action employer, and encourages Women, Minorities, Individuals with Disabilities, and protected Veterans to apply. VEVRAA Federal Contractor.