Staff Commercial Data Engineer

MGM Resorts International

Staff Commercial Data Engineer responsible for architecting marketing and revenue management data platforms at MGM Resorts. Collaborating with cross-functional teams to ensure data reliability and governance.

Posted 7/29/2026full-timeFlorida, Missouri, Nevada, New Jersey, Texas • 🇺🇸 United StatesLead💰 $106,000 - $141,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Data Engineering and Lakehouse Architecture, with a strong focus on performance tuning, data quality frameworks, and observability standards. Proficient in building production-grade data pipelines and translating complex technical concepts into business-aligned narratives.

Highest-signal resume keywords

Data EngineeringDatabricks ExpertisePerformance TuningPython ProficiencyData Quality Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringLakehouse ArchitecturePerformance TuningPythonPySparkSQLDelta LakeAutomated TestingData Quality FrameworksWorkload Isolation

Soft Skills

MentoringCross-Functional CollaborationTechnical Communication

Tools & Technologies

DatabricksUnity CatalogTerraformAirflowDatabricks Workflows

Industry Keywords

Gaming OperationsHospitality OperationsLoyalty EngagementCustomer EngagementMarketing Analytics

Tech Stack

Tools & technologies

AirflowPySparkPythonSparkSQLTerraformUnity

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

Health insurance
Dental coverage
Vision coverage
Life insurance
401(k) plans
Paid time off
Unbeatable discounts on hotel stays, dining, retail, entertainment, and exclusive partner perks for travel, tech, and beyond
Free meals in employee dining room
Free parking for employees