Staff Commercial Data Engineer

MGM Resorts; United States; On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Wellness programs

Hotel stay discounts

Free employee dining

Free parking

Healthcare & generous time-off

Professional development & volunteer

Job summary

Staff Commercial Data Engineer at MGM Resorts will architect and elevate Marketing and Revenue Management data platforms to power commercial decision-making across Gaming, Hospitality, Loyalty, and Marketing.

You will define data models, curate datasets, and optimize lakehouse architectures while mentoring engineers and aligning with analytics leadership.

Qualifications

• 7+ years in data engineering, data platform, or analytics roles.
• 5+ years with Databricks or Spark environments.
• Strong Python, PySpark and SQL skills.

Responsibilities

• Own data models, metrics, and semantic consistency across domains.
• Design certified datasets aligned to business reporting needs.
• Architect lakehouse solutions with governance, cost, and performance in mind.
• Build scalable ingestion, validation, and orchestration frameworks.
• Establish observability and quality gates; monitor schema drift and SLAs.

Skills

Databricks

Lakehouse

Python

PySpark

SQL

Governance

Observability

Data quality

Performance tuning

Tools

Terraform

Airflow

Databricks Workflows

Job description

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.