Staff Commercial Data Engineer

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:

We are seeking a Staff Commercial Data Engineer to architect and elevate the enterprise data platforms that power commercial decision-making across Gaming, Hospitality, Loyalty, and Marketing.

This is a senior technical role responsible for defining the architectural direction of our Lakehouse ecosystem, ensuring enterprise reliability and governance standards, and mentoring engineering teams to build world-class data products. As the architectural owner of domain-wide data models and certified datasets, you will drive metric consistency, platform scalability, and business-aligned data solutions in close partnership with Data Science, Analytics, IT, and commercial leadership.

THE DAY-TO-DAY:

• Serve as the architectural owner for enterprise data models, metric definitions, and semantic consistency across commercial domains

• Design and maintain certified, curated datasets aligned to business logic and executive reporting standards

• Architect and optimize high-scale Lakehouse solutions for performance, governance, cost, and lineage

• Define enterprise conventions for partitioning, Z-ordering, file compaction, cluster sizing, and workload orchestration

• Build reusable ingestion, validation, and orchestration frameworks

• Establish observability standards including freshness SLAs, anomaly detection, and schema drift monitoring

• Implement automated quality gates, impact analysis, and self-healing workflows

• Own performance tuning strategies across batch, streaming, and high-volume analytics workloads

• Lead high-severity incident response and drive long-term remediation strategies

• Mentor engineers and influence cross-functional platform modernization initiatives

THE IDEAL CANDIDATE:

• 7+ years of prior relevant experience in  data engineering, data platform, or analytics engineering roles

• 5+ years of prior relevant hands-on experience in Databricks or equivalent Spark environments

• Expertise in Databricks and Lakehouse architecture

• Strong coding proficiency in Python, PySpark, and SQL

• Experience with Unity Catalog governance and permissions

• Proven implementation of data quality frameworks and observability standards

• Deep knowledge of Delta Lake internals and distributed data processing

• Experience defining SLAs, anomaly detection, and automated monitoring frameworks

• Expertise in performance tuning, workload isolation, partitioning strategies, and compute optimization

• Strong understanding of modeling patterns for analytics and operational systems

• Experience building production-grade pipelines, reusable libraries, modular code standards, version control, and automated testing

• Familiarity with Terraform, Airflow, and Databricks Workflows

• Domain experience in Gaming & Hospitality Operations, Loyalty & Customer Engagement, or Marketing & Commercial Analytics preferred

• Ability to translate complex technical architecture into clear, business-aligned narratives

THE PERKS & BENEFITS:

• Prioritize your wellness, access programs crafted to nurture your mental and physical health. 

• Enjoy unbeatable discounts on hotel stays, dining, retail, entertainment, and exclusive partner perks for travel, tech, and beyond! 

• Savor delicious meals for free in our employee dining room. 

• Park with ease—whether you're on or off shift, it's free! 

• From healthcare to financial support and generous time-off options, we’ve got you covered. 

• Elevate your career with development programs, connect through networking events, and make a difference with community volunteer opportunities.

VIEW JOB DESCRIPTION:

https://mgmresorts.marketpayjobs.com/ShowJob.aspx?EntityID=2&jobcode=12776

Are you ready to JOIN THE SHOW? Apply today!