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Sr Data Commercial Engineer

• Posted 1 day ago • Updated 7 hours ago

Full Time

Fitment

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Job Details

Skills

Reporting
Decision-making
KPI
Design Documentation
Scalability
Identity Management
Incident Management
Root Cause Analysis
Continuous Improvement
Training
Computer Science
Information Technology
Data Engineering
Apache Spark
Unity
Python
PySpark
Analytical Skill
SQL
Data Processing
Data Quality
Data Modeling
Performance Tuning
Optimization
Mentorship
Terraform
Orchestration
Databricks
Workflow
Hospitality
Customer Engagement
Marketing
Analytics
Retail
Electronics
Personal Development
Computer Networking

Reporting
Decision-making
KPI
Design Documentation
Scalability
Identity Management
Incident Management
Root Cause Analysis
Continuous Improvement
Training
Computer Science
Information Technology
Data Engineering
Apache Spark
Unity
Python
PySpark
Analytical Skill
SQL
Data Processing
Data Quality
Data Modeling
Performance Tuning
Optimization
Mentorship
Terraform
Orchestration
Databricks
Workflow
Hospitality
Customer Engagement
Marketing
Analytics
Retail
Electronics
Personal Development
Computer Networking

Summary

US, 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:

The Senior Commercial Data Engineer is a technical leader responsible for designing, building, and maintaining high-quality, scalable, and reliable data products that power analytics, reporting, and advanced decision-making across the enterprise. This role owns curated data enablement, data observability, metric governance, and performance optimization within Databricks, ensuring the business has consistent, trusted, and high-performing datasets.

THE DAY-TO-DAY:

Lead cross-functional efforts to define and maintain certified business definitions, KPIs, metrics, and logic across assigned data domains.
Design, document, and maintain enterprise-ready curated tables and high-performance data models in Databricks aligned to business and analytical needs.
Optimize data pipelines, partitioning, file compaction, compute utilization, and query costs to improve performance, scalability, and production stability.
Enforce Unity Catalog governance standards, including data ownership, permissions, certification, and access management workflows.
Establish and monitor data reliability standards, including freshness SLAs, completeness thresholds, schema drift detection, and automated anomaly monitoring.
Own incident response, pipeline triage, and root-cause analysis for data failures, performance issues, and metric discrepancies.
Serve as the primary data reliability owner, driving continuous improvement while training teams on certified datasets, governance practices, and trusted data usage.

THE IDEAL CANDIDATE:

Bachelor's degree in Computer Science, Information Technology, or a related field required; Master's degree preferred.
5+ years of experience in data engineering, analytics engineering, or data platform roles, including 3+ years building production workloads in Databricks or similar Spark environments.
Strong expertise in Databricks, Delta Lake, Lakehouse architecture, and Unity Catalog, including governance, permissions, and data certification standards.
Advanced programming skills in Python, PySpark, and SQL, with experience in analytical SQL, distributed data processing, production-grade pipelines, and automation.
Proven experience with data quality, observability, monitoring, anomaly detection, SLAs, validation, lineage, and self-healing pipeline frameworks.
Strong knowledge of data modeling, partitioning, file compaction, query/performance tuning, compute optimization, and workload isolation for large-scale production environments.
Ability to translate technical requirements into business-aligned data solutions, standardize best practices, mentor teams, and preferably work with Terraform and orchestration tools such as Airflow or Databricks Workflows; domain experience in gaming/hospitality, loyalty/customer engagement, or marketing/commercial analytics is preferred.

THE PERKS & BENEFITS:

Wellness incentive programs to help you stay healthy physically and mentally
Access to company hotel, food and beverage, retail, and entertainment discounts as well as discounts with company partners on things like travel, electronics, online shopping, and more
Free meals in our employee dining room
Free parking
Health & Income Protection benefits (for eligible employees)
Professional and personal development through programs and networking opportunities as well as volunteer opportunities in the community

VIEW JOB DESCRIPTION:

;jobcode=12779

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: 18df8cd2e8dd863b7b31bde395daa67a
Posted 1 day ago

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