Senior Data Commercial Engineer

🕒 September 11

🎰 Nevada – Remote

🎰 Nevada – Remote

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 32%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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MGM Resorts International

WebsiteLinkedInAll Job Openings

10,000+ employees

✈️ Travel

📣 Marketing

🏨 Hospitality

Travel • Marketing • Hospitality

MGM Resorts International is a global hospitality and entertainment company renowned for its luxurious resorts and casinos. With 28 destinations, primarily in Las Vegas, the company offers a blend of exceptional customer service, fine dining, entertainment options, and event facilities. MGM is dedicated to global expansion and emphasizes diversity, sustainability, and philanthropy while providing memorable experiences to its guests. The company boasts a large workforce of 81,000 global employees and is recognized as one of FORTUNE® Magazine’s World’s Most Admired Companies®.

📋 Description

• 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 • Optimize data pipelines, partitioning, file compaction, compute utilization, and query costs • 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 • Train teams on certified datasets, governance practices, and trusted data usage

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Technology, or a related field required • 5+ years of experience in data engineering, analytics engineering, or data platform roles • 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 • Experience in analytical SQL, distributed data processing, production-grade pipelines, and automation • 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 • 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

🏖️ Benefits

• Wellness incentive programs to help you stay healthy physically and mentally • Access to company hotel, food and beverage, retail, and entertainment discounts • Discounts with company partners on 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 • Volunteer opportunities in the community