About the role
US, NevadaThe 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:
Are you ready to JOIN THE SHOW? Apply today!
Originally posted on Himalayas