Sr Data Commercial Engineer

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:

Are you ready to JOIN THE SHOW ? Apply today!

Originally posted on Himalayas