Senior Data Engineer: AI-Optimized Pipelines on Databricks

Live Nation Entertainment; United States; On-site; USD 152,000 - 190,000; Full time

Benefits offered by this job

Medical/Vision/Dental coverage

Generous PTO including holidays/sick/b

Free concert tickets

401(k) with company match

Stock program

Parental leave & caregiver support

Tuition reimbursement

Job summary

Live Nation Entertainment is seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines using Databricks, PySpark, Python, and SQL. The role focuses on optimizing workloads, building a modern Data Lake, and enabling AI-driven improvements across data platforms.

You will collaborate with product teams and data consumers, mentor junior engineers, and promote best practices in AI-assisted data engineering within an Agile environment.

Qualifications

• 5–7+ years hands-on data engineering experience.
• Advanced proficiency in Python, SQL, PySpark, and ETL/ELT frameworks.
• Strong experience with Databricks and distributed data processing.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using Databricks, PySpark, Python, and SQL.
• Optimize data workflows and SQL/Spark queries for performance and cost.
• Contribute to design of enterprise Data Lake and curated data assets.

Skills

Python

SQL

PySpark

Databricks

AI tools

GitHub Copilot

SQL Server

Tools

Databricks

SQL Server

Job description

Live Nation Entertainment is seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines using Databricks, PySpark, Python, and SQL. The role focuses on optimizing workloads, building a modern Data Lake, and enabling AI-driven improvements across data platforms.

You will collaborate with product teams and data consumers, mentor junior engineers, and promote best practices in AI-assisted data engineering within an Agile environment.