Principal Commercial Data Engineer

🕒 Setembro 25

🐊 Florida, Nevada, +6 estados a mais – Remoto

🐊 Florida – Remote 🎰 Nevada – Remote 🏖️ New Jersey – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote 🎸 Mississippi – Remote 🤠 Texas – Remote

💵 $126.200 - $168.300 / ano

⏰ Tempo Integral

🔴 Especialista

🚰 Engenheiro de Dados

👻 Score fantasma 10%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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MGM Resorts International

SiteLinkedInTodas as Vagas

10.000+ funcionários

✈️ Turismo

📣 Marketing

🏨 Hospitalidade

Travel • Marketing • Hospitality

Os resorts e cassinos do MGM Resorts International™ estão entre os mais famosos do mundo. Nossos 28 destinos são renomados por sua combinação vencedora de entretenimento de qualidade, instalações luxuosas e atendimento ao cliente excepcional.

Descrição

• Define the multi-year architectural vision for MGM’s Lakehouse platform, including compute, storage, orchestration, semantic layers, governance, and reliability • Architect scalable solutions for high-volume Gaming, Hospitality, Loyalty, and Marketing datasets across real-time, batch, and federated environments • Establish Marketing and Revenue Management data modeling standards across fact/event layers, dimensional schemas, KPIs, and unified semantic definitions • Lead adoption of streaming pipelines, Delta Live Tables, feature stores, and ML observability • Own Marketing and Revenue Management semantic models and certified curated datasets • Define organizational standards for data quality, observability, SLAs/SLOs, and incident lifecycle management • Implement automated frameworks for schema drift detection, anomaly monitoring, and pipeline self-healing • Optimize Databricks workloads for performance and cost efficiency using ZORDER, OPTIMIZE, and workload isolation • Mentor Senior and Staff Data Engineers and lead engineering councils • Partner with senior leadership, architects, data science, analytics, IT, and business stakeholders to design resilient, scalable, and trusted data systems supporting real-time decisioning, advanced analytics, and AI/ML applications

🎯 Requisitos

• Bachelor’s degree in Computer Science, Information Technology, or related field • 10+ years of prior relevant experience in data engineering, data platforms, distributed systems, or related fields • 5+ years of prior relevant experience architecting large-scale workloads in Databricks or equivalent Spark platforms • Expert-level Databricks and Lakehouse architecture experience • Advanced Python, PySpark, and SQL skills • Deep expertise in Unity Catalog governance and lineage • Proven experience designing enterprise semantic layers and KPI standards • Experience implementing enterprise data quality and observability frameworks • Domain experience in Gaming, Hospitality, Loyalty, or Commercial Analytics preferred

🏖️ Benefícios

• Wellness programs supporting mental and physical health • Discounts on hotel stays, dining, retail, entertainment, and partner perks for travel and technology • Free employee dining room meals • Free parking on and off shift • Medical insurance • Dental insurance • Vision insurance • Life insurance • 401(k) plans • Time off plans • Career development programs • Networking events • Community volunteer opportunities • Incentive plan eligibility