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Staff Commercial Data Engineer

MGM Resorts International

Nevada • Today

Full-time

Job Details

Skills

Decision-making
Scalability
Collaboration
Partnership
Data Science
Leadership
Revenue Management
Semantics
Reporting
Orchestration
Impact Analysis
Streaming
Incident Management
Mentorship
Data Engineering
Apache Spark
Python
PySpark
SQL
Unity
Data Quality
Data Processing
Performance Tuning
Optimization
Modeling
Version Control
Automated Testing
Terraform
Databricks
Workflow
Hospitality
Customer Engagement
Marketing
Analytics
IT Architecture
Retail
Health Care
Finance
Value Engineering
Computer Networking

Decision-making
Scalability
Collaboration
Partnership
Data Science
Leadership
Revenue Management
Semantics
Reporting
Orchestration
Impact Analysis
Streaming
Incident Management
Mentorship
Data Engineering
Apache Spark
Python
PySpark
SQL
Unity
Data Quality
Data Processing
Performance Tuning
Optimization
Modeling
Version Control
Automated Testing
Terraform
Databricks
Workflow
Hospitality
Customer Engagement
Marketing
Analytics
IT Architecture
Retail
Health Care
Finance
Value Engineering
Computer Networking

Summary

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:

;jobcode=12776

Are you ready to JOIN THE SHOW? Apply today!

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90952110
Position Id: b72d5762306861cf8194e55e3839e880
Posted 8 hours ago

Fitment

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Job Details

Skills

Decision-making
Scalability
Collaboration
Partnership
Data Science
Leadership
Revenue Management
Semantics
Reporting
Orchestration
Impact Analysis
Streaming
Incident Management
Mentorship
Data Engineering
Apache Spark
Python
PySpark
SQL
Unity
Data Quality
Data Processing
Performance Tuning
Optimization
Modeling
Version Control
Automated Testing
Terraform
Databricks
Workflow
Hospitality
Customer Engagement
Marketing
Analytics
IT Architecture
Retail
Health Care
Finance
Value Engineering
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Decision-making
Scalability
Collaboration
Partnership
Data Science
Leadership
Revenue Management
Semantics
Reporting
Orchestration
Impact Analysis
Streaming
Incident Management
Mentorship
Data Engineering
Apache Spark
Python
PySpark
SQL
Unity
Data Quality
Data Processing
Performance Tuning
Optimization
Modeling
Version Control
Automated Testing
Terraform
Databricks
Workflow
Hospitality
Customer Engagement
Marketing
Analytics
IT Architecture
Retail
Health Care
Finance
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Computer Networking

Summary

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:

;jobcode=12776

Are you ready to JOIN THE SHOW? Apply today!

Dice Id: 90952110
Position Id: b72d5762306861cf8194e55e3839e880
Posted 8 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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