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:

- Serve as the architectural owner for Marketing and Revenue Management 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 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!