Lead Data Engineer

Skip to main contentSign InLead Data Engineer page is loadedLead Data EngineerApplylocationsOffice - US, Las Vegas, NV 6770 Edmond StHome Office - US, NJHome Office - US, MIHome Office - US, TXHome Office - US, FLView All 9 Locationstime typeFull timeposted onPosted 30+ Days Agojob requisition id276251Las Vegas, NevadaThe SHOW comes alive at MGM Resorts InternationalHave you ever wondered what it would be like to work in a place full of excitement, diversity, and entertainment? Are you enthusiastic about being a team player in one of the most fascinating industries in the world? At MGM Resorts, we seek individuals like YOU to create unique and show-stopping experiences for our guests.THE JOB:The Senior Data Engineer provides technical leadership in the architecture, development, and operational management of enterprise data platforms and integration services that enable data-driven decision-making across the organization. This role is accountable for designing and delivering scalable, secure, and high-performance data solutions, overseeing the full lifecycle of data engineering initiatives from strategy and architecture through implementation, deployment, and production support. The Senior Data Engineer partners with business and technology stakeholders to advance enterprise data capabilities while ensuring compliance with departmental standards and MGM Resorts' policies, practices, and procedures.THE DAY-TO-DAY:Lead the end-to-end design, development, deployment, and support of scalable, production-grade data integration and engineering solutions.Create and maintain technical designs and documentation aligned with business requirements, data architecture, and enterprise standards.Collaborate with technology leadership to evaluate and implement new tools, technologies, and best practices that improve platform performance and user experience.Partner with Product Management and business stakeholders to deliver data solutions that meet business objectives and design requirements.Build strong cross-functional relationships, effectively communicating technical solutions and driving stakeholder alignment.Mentor junior engineers, guide architectural decisions, and balance technical tradeoffs to deliver reliable and intuitive data products.Drive operational excellence through monitoring, optimization, troubleshooting, and ongoing support of data platforms and services.THE IDEAL CANDIDATE:8+ years of experience delivering enterprise data integration, data engineering services, and data platform solutions that support analytics, reporting, operational, and AI-driven business initiatives.Design, develop, and support scalable data pipelines, Lakehouse architectures, and data products that enable analytics, reporting, AI, and machine learning initiatives.Build and optimize enterprise data platforms using Databricks, Spark, Delta Lake, and Azure cloud services, ensuring performance, scalability, reliability, and cost efficiency.Develop and maintain ELT/ETL frameworks, data models, and governance capabilities, including data quality, lineage, observability, security, and compliance.Support AI, machine learning, Generative AI, and RAG solutions through scalable data engineering, feature engineering, and MLOps/DataOps practices.Implement modern engineering standards, including CI/CD, Infrastructure as Code (IaC), testing, monitoring, and automation.Collaborate with business and technology stakeholders to deliver data solutions aligned with enterprise objectives and strategic roadmaps.Provide technical leadership through architecture reviews, mentoring, and the promotion of engineering best practices across the organization.THE PERKS & BENEFITS:Wellness incentive programs to help you stay healthy physically and mentallyAccess to company hotel, food and beverage, retail, and entertainment discounts as well as discounts with company partners on things like travel, electronics, online shopping, and moreFree meals in our employee dining roomFree...