Senior Data Engineer

Senior Data Engineer Live Nation Entertainment is the world's leading live entertainment and eCommerce company, comprised of four market leaders: Ticketmaster.com, Live Nation Concerts, Front Line Management Group and Live Nation Network. Ticketmaster.com is the global event ticketing leader and one of the world's top five eCommerce sites, with over 26 million monthly unique visitors. Live Nation Concerts produces over 20,000 shows annually for more than 2,000 artists globally. Front Line is the world's top artist management company, representing over 250 artists. These businesses power Live Nation Network, the leading provider of entertainment marketing solutions, enabling over 800 advertisers to tap into the 200 million consumers Live Nation delivers annually through its live event and digital platforms. Passionate and motivated. Driven, with an entrepreneurial spirit. Resourceful, innovative, forward thinking and committed. At Live Nation Entertainment, our people embrace these qualities, so if this sounds like you then please read on! Core Data Services team is at the center of Data and Analytics initiatives. We are building a modern data platform to support enterprise data needs. Our mission and yours too should you choose to join us, is to empower and enable our data community of data engineers, data scientists, analysts, product teams and decision makers to create value. We are building a highly functional, performant modern enterprise Data Lake while supporting our current data platforms. We focus on creating trusted, usable data assets in an environment that enables LNE teams to drive value for fans and our business. This is what defines us as a Core Data Services Team. We are looking for a Senior Data Engineer with strong hands-on experience building scalable data pipelines, optimizing performance, and enabling AI use cases. This role will design and implement large-scale data systems on Databricks and SQL Server, while also adopting AI tools and automation frameworks that accelerate development velocity and operational excellence. You will help modernize our data ecosystem, contribute to writing efficient pipelines, and leverage AI technologies to improve productivity, reduce manual work, and enhance pipeline reliability. Core Data Engineering Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines using Databricks, PySpark, Python, and SQL. Optimize data workflows and SQL/Spark queries for performance, cost efficiency, and reliability. Contribute to the design of our enterprise Data Lake and curated data assets. Build robust ingestion frameworks, transformation logic, and reusable data engineering components. Support data migrations and modernization efforts from legacy systems to cloud-based platforms. AI-Augmented Productivity & Automation Use AI coding copilots (Databricks Assistant, GitHub Copilot, SQL copilots) to accelerate development, code review, test creation, and documentation. Automate repetitive tasks (schema evolution, config generation, logging templates, test data creation) with generative AI tools. Leverage AI to auto-detect pipeline anomalies, data drift, quality issues, and performance bottlenecks. Incorporate AI-assisted query optimization tools to improve Spark & SQL performance. Ability to learn and utilize LLM-powered tools to generate, refactor, and explain complex SQL, PySpark logic, and pipeline configurations. Collaboration & Delivery Work cross-functionally with Product, data consumers to deliver high-quality data solutions. Participate in Agile ceremonies & contribute to sprint planning & technical design discussions. Mentor junior data engineers, promote best practices in AI-assisted data engineering. Ensure strong documentation, standards adoption, & continuous improvement across the team. What This Person Will Bring: 5–7+ years of hands-on data engineering experience. Advanced proficiency in Python, SQL, PySpark, and ETL/ELT frameworks. Strong experience with Databricks and distributed data processing. Demonstrated ability to optimize SQL/Spark workloads for performance and cost. Experience using AI development tools such as: GitHub Copilot, Databricks Assistant, SQL/IDE AI copilots, AI-based data quality or monitoring tools Solid understanding of data modeling, governance, and CI/CD for data pipelines. Excellent communication skills and ability to work in a cross-functional environment. Experience working in Agile environments with tools like Jira and Confluence. Benefits & Perks Health: Medical, Vision and Dental benefits for you and your family, including Flexible Spending Accounts (FSA) and Health Savings Accounts (HSAs) Yourself: Generous paid time off policy including paid holidays, sick time and paid days off for your birthday, Free concert tickets Wealth: 401(k) program with company match, Stock Program Family: New parent programs & support including caregiver leave and childcare cash, infertility support Career: Tuition reimbursement, student loan repayment internal growth and development programs & trainings Others: Volunteer time off, crowdfunding network Equal Employment Opportunity Live Nation strongly supports equal employment opportunity for all applicants regardless of age (40 and over), ancestry, color, religious creed (including religious dress and grooming practices), family and medical care leave or the denial of family and medical care leave, mental or physical disability (including HIV and AIDS), marital status, domestic partner status, medical condition (including cancer and genetic characteristics), genetic information, military and veteran status, political affiliation, national origin (including language use restrictions), citizenship, race, sex (including pregnancy, childbirth, breastfeeding and medical conditions related to pregnancy, childbirth or breastfeeding), gender, gender identity, and gender expression, sexual orientation, or any other basis protected by applicable federal, state or local law, rule, ordinance or regulation. The expected compensation for this position is:

$152,000.00 USD - $190,000.00 USD

** Pay is based on a number of factors including market location, qualifications, skills, and experience. Live Nation Entertainment