Senior Data Engineer

🕒 il y a 14 jours

🏄 California – Distant

🏄 California – Remote

💵 $152 000 - $190 000 / an

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

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Live Nation Entertainment

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1996

📱 Médias

💰 Post-IPO Debt en 2023-01

Media • Entertainment

Live Nation Entertainment est le leader mondial du divertissement en direct, offrant des expériences inoubliables à travers le monde. Axé sur les artistes et guidé par les fans, Live Nation collabore avec les musiciens pour donner vie à leur créativité sur des scènes internationales. En tant que principal producteur de concerts, vendeur de billets et connecteur de marques à la musique, la plateforme de Live Nation domine le marché dans ces trois industries clés. Leur mission s'étend au-delà du divertissement, visant à élever, inspirer et créer des souvenirs grâce à la puissance de la musique live.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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