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Senior Data Engineer
Live Nation EntertainmentSenior 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 & technologiesCloudETLPySparkPythonSparkSQL
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
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
ETLELTDatabricksPySparkPythonSQLdata modelingdata governanceCI/CDdata engineering
Soft Skills
communicationcross-functional collaborationmentoringbest practices promotioncontinuous improvement