Jobs Companies MGM Resorts Lead Data Engineer

Sobre esta vaga de Lead Data Engineer na MGM Resorts

MGM Resorts · Presencial · Office - US, Las Vegas, NV 6770 Edmond St
Las Vegas, Nevada

The SHOW comes alive at MGM Resorts International

Have 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 mentally

  • Access 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 more

  • Free meals in our employee dining room

  • Free parking 

  • Health & Income Protection benefits (for eligible employees)

  • Professional and personal development through programs and networking opportunities as well as volunteer opportunities in the community


VIEW JOB DESCRIPTION:

https://mgmresorts.marketpayjobs.com/ShowJob.aspx?EntityID=2&jobcode=11494

Pay Range:

The pay range for this role is:

$121,700.00 - $162,200.00

This range represents a good faith estimate of the salary range that MGM reasonably expects to pay for the position upon hire. The actual salary offer will take into account a wide range of factors, including location.

This position is eligible to participate in the Company’s incentive plan.

 

 

This position is eligible to participate in the Company’s equity plan.

Employees in this position are eligible to participate in medical, dental, vision, life insurance, 401(k) plans, and time off plans. Specific program offerings vary by eligibility factors such as geographic location, employment status, and union membership.


Are you ready to JOIN THE SHOW? Apply today!

Pronto para se candidatar à MGM Resorts?
Candidatar-se à MGM Resorts

Como este salário de Data Engineer se compara

Esta vaga paga $141,950/yrem linha com da faixa típica para vagas de Data Engineer.

$101,102 a mediana $160,950 $242,504

Faixa típica $127,488–$195,000/yr, com base em 1,711 vagas de Data Engineer comparáveis na JobsRadar (pagamento anualizado em USD). Ver insights salariais de Data Engineer →

Sobre a MGM Resorts

At MGM Resorts, we exist to entertain the human race and provide an unforgettable escape. From delivering excellence for our guests to building and sustaining our communities, you can join our diverse teams of world-class talent and thrive in our collaborative environment. Our iconic MGM Resorts brands offer everyone a wide variety of exciting career opportunities with access to unlimited growth. Be part of a unique world filled with anticipation, entertainment and unparalleled experiences — combined with competitive rewards and exclusive perks. Together, we will use our meaningful relationships to continue to build our authentic culture. We know the importance of respecting each other’s dif

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