Staff Commercial Data Engineer

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:

We are seeking a Staff Commercial Data Engineer to architect and elevate the Marketing and Revenue Management 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 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

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Serve as the architectural owner for Marketing and Revenue Management data models, metric definitions, and semantic consistency across commercial domains

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

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

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

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Build reusable ingestion, validation, and orchestration frameworks

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

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

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

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

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Mentor engineers and influence cross-functional platform modernization initiatives

THE IDEAL CANDIDATE

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

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

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Expertise in Databricks and Lakehouse architecture

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Strong coding proficiency in Python, PySpark, and SQL

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Experience with Unity Catalog governance and permissions

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Proven implementation of data quality frameworks and observability standards

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Deep knowledge of Delta Lake internals and distributed data processing

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Experience defining SLAs, anomaly detection, and automated monitoring frameworks

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

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Strong understanding of modeling patterns for analytics and operational systems

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

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Familiarity with Terraform, Airflow, and Databricks Workflows

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

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

THE PERKS & BENEFITS

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

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

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Savor delicious meals for free in our employee dining room.

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

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

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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!