Principal Commercial Data Engineer

MGM Resorts International

Principal Commercial Data Engineer at MGM designing scalable data ecosystems for Marketing and Revenue Management. Collaborating with leadership to enhance data quality and observability standards across commercial domains.

Posted 4/29/2026full-timeFlorida, Missouri, Nevada, New Jersey, Texas • 🇺🇸 United StatesLead💰 $126,200 - $168,300 per yearWebsite

Tech Stack

Tools & technologies

Distributed SystemsPySparkPythonSparkSQLUnity

About the role

Key responsibilities & impact

Define the multi-year architectural vision for MGM’s Lakehouse platform, including compute, storage, orchestration, semantic layers, governance, and reliability.
Architect scalable solutions for high-volume Gaming, Hospitality, Loyalty, and Marketing datasets across real-time, batch, and federated environments.
Establish Marketing and Revenue Management data modeling standards across fact/event layers, dimensional schemas, KPIs, and unified semantic definitions.
Lead adoption of modern data engineering patterns such as streaming pipelines, Delta Live Tables, feature stores, and ML observability.
Own Marketing and Revenue Management semantic models and certified curated datasets to ensure metric consistency and governance alignment.
Define organizational standards for data quality, observability, SLAs/SLOs, and incident lifecycle management.
Implement automated frameworks for schema drift detection, anomaly monitoring, and pipeline self-healing.
Optimize Databricks workloads for performance and cost efficiency (ZORDER, OPTIMIZE, workload isolation).
Mentor Senior and Staff Data Engineers and lead engineering councils.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Technology, or related field
10+ years of prior relevant experience in data engineering, data platforms, distributed systems, or related fields
5+ years of prior relevant experience in architecting large-scale workloads in Databricks or equivalent Spark platforms
Expert-level Databricks and Lakehouse architecture experience
Advanced Python, PySpark, and SQL skills
Deep expertise in Unity Catalog governance and lineage
Proven experience designing enterprise semantic layers and KPI standards
Experience implementing enterprise data quality and observability frameworks
Domain experience in Gaming, Hospitality, Loyalty, or Commercial Analytics (preferred)

Benefits

Comp & perks

Health insurance
Dental insurance
Vision insurance
Life insurance
401(k) plans
Time off plans
Discounts on hotel stays, dining, and entertainment
Free meals in employee dining room
Free parking

ATS Keywords

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Hard Skills & Tools

data engineeringdata platformsdistributed systemsDatabricksSparkPythonPySparkSQLdata quality frameworksobservability frameworks

Soft Skills

mentoringleadershiporganizational standardsincident lifecycle management