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Live Nation Entertainment

Senior Data Engineer

Live Nation Entertainment

Senior Data Engineer developing scalable data pipelines and optimizing performance at Live Nation Entertainment. Collaborating with cross-functional teams and leveraging AI technologies for improved productivity.

Posted 5/23/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $152,000 - $190,000 per yearWebsite

Tech Stack

Tools & technologies
CloudETLPySparkPythonSparkSQL

About the role

Key responsibilities & impact
  • 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
  • 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
  • Collaborate 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.

Requirements

What you’ll need
  • 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

Comp & perks
  • Medical, Vision and Dental benefits for you and your family, including Flexible Spending Accounts (FSA) and Health Savings Accounts (HSAs)
  • Generous paid time off policy including paid holidays, sick time and paid days off for your birthday
  • Free concert tickets
  • 401(k) program with company match
  • Stock Program
  • New parent programs & support including caregiver leave and childcare cash
  • Infertility support
  • Tuition reimbursement
  • Student loan repayment internal growth and development programs & trainings
  • Volunteer time off
  • Crowdfunding network

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
ETLELTDatabricksPySparkPythonSQLdata modelingdata governanceCI/CDdata engineering
Soft Skills
communicationcross-functional collaborationmentoringbest practices promotioncontinuous improvement