> Markdown version of [/jobs/ext/1152433-staff-data-commercial-engineer](https://www.wearedevelopers.com/jobs/ext/1152433-staff-data-commercial-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Data Commercial Engineer - **Company:** MGM Resorts International - **Location:** North Las Vegas, NV, United States (Remote available) - **Experience:** Expert - **Salary:** $106,000.0 - $141,400.0 - **Contract:** Permanent contract - **Skills:** Airflow, Data Analysis, Business Logic, Automation of Tests, Computer Programming, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Systems, Distributed Computing Environment, Python (Programming Language), Performance Tuning, Standard Sql, Apache Spark, Data Lakes, Pyspark, Kubernetes, Operational Systems, Terraform, Software Version Control, Databricks - **Published:** July 1, 2026 - **Apply:** https://mgmresorts.wd5.myworkdayjobs.com/MGMCareers/job/Home-Office---US-NV/Staff-Data-Commercial-Engineer_276807 ## About the Role * 7+ years of prior relevant experience in data engineering, data platform, or analytics engineering roles * 5+ years of prior relevant hands-on experience in Databricks or equivalent Spark environments * Expertise in Databricks and Lakehouse architecture * Strong coding proficiency in Python, PySpark, and SQL * Experience with Unity Catalog governance and permissions * Proven implementation of data quality frameworks and observability standards * Deep knowledge of Delta Lake internals and distributed data processing * Experience defining SLAs, anomaly detection, and automated monitoring frameworks * Expertise in performance tuning, workload isolation, partitioning strategies, and compute optimization * Strong understanding of modeling patterns for analytics and operational systems * Experience building production-grade pipelines, reusable libraries, modular code standards, version control, and automated testing * Familiarity with Terraform, Airflow, and Databricks Workflows * Domain experience in Gaming & Hospitality Operations, Loyalty & Customer Engagement, or Marketing & Commercial Analytics preferred * Ability to translate complex technical architecture into clear, business-aligned narratives ## Description This is a senior technical role responsible for defining the architectural direction of our Lakehouse ecosystem, ensuring reliability and governance standards, and mentoring engineering teams to build world-class data products. As the architectural owner of domain-wide data models and certified datasets, you will drive metric consistency, platform scalability, and business-aligned data solutions in close partnership with Data Science, Analytics, IT, and commercial leadership. THE DAY-TO-DAY: * Serve as the architectural owner for Marketing and Revenue Management data models, metric definitions, and semantic consistency across commercial domains * Design and maintain certified, curated datasets aligned to business logic and executive reporting standards * Architect and optimize high-scale Lakehouse solutions for performance, governance, cost, and lineage * Define conventions for partitioning, Z-ordering, file compaction, cluster sizing, and workload orchestration * Build reusable ingestion, validation, and orchestration frameworks * Establish observability standards including freshness SLAs, anomaly detection, and schema drift monitoring * Implement automated quality gates, impact analysis, and self-healing workflows * Own performance tuning strategies across batch, streaming, and high-volume analytics workloads * Lead high-severity incident response and drive long-term remediation strategies * Mentor engineers and influence cross-functional platform modernization initiatives ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 129 - Now that's what I call private data!](https://www.wearedevelopers.com/magazine/468-dev-digest-129-now-that-s-what-i-call-private-data) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london)