Lead Data Engineer

MGM Resorts International; Las Vegas (NM); On-site; USD 122,000 - 162,000; Full time

Benefits offered by this job

Wellness programs

Hotel/entertainment discounts

Free meals in employee dining room

Free parking

Health & Income Protection

Professional development and volunteer

Job summary

MGM Resorts International in Las Vegas, NV seeks a Senior Data Engineer to lead architecture, development, and operational management of enterprise data platforms. You will design scalable, secure data solutions and drive production readiness from strategy through deployment.

Collaborate with stakeholders, mentor engineers, ensure governance and compliance, implement CI/CD and IaC, and advance AI/ML data capabilities with modern engineering practices.

Qualifications

• 8+ years of enterprise data integration and engineering experience.
• Experience building scalable data pipelines and data platforms.
• Knowledge of data governance, quality, lineage, and security.
• Experience with AI/ML, Generative AI, and RAG concepts is a plus.
• Proven ability to lead architecture reviews and mentor engineers.

Responsibilities

• Lead end-to-end design, development, deployment, and support of scalable data solutions.
• Create and maintain technical designs aligned with business requirements and standards.
• Evaluate new tools and practices to improve performance and user experience.
• Partner with PM and stakeholders to deliver data solutions meeting business goals.
• Build cross-functional relationships and communicate solutions effectively.
• Mentor junior engineers and guide architectural decisions.
• Drive operational excellence through monitoring, optimization, and support.

Skills

Data engineering

Data integration

Data pipelines

Data governance

MLOps

CI/CD

Infrastructure as Code

Observability

Security

Leadership

Tools

Databricks

Spark

Delta Lake

Azure

Job description

Las Vegas, Nevada

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

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.