Senior Data Commercial Engineer

This is a fully remote position, open to applicants in Nevada.

📋 Description

• Lead collaborative efforts across various functions to establish and uphold certified business definitions, KPIs, metrics, and logic within designated data domains.

• Design, document, and sustain enterprise-ready curated tables and high-performance data models in Databricks that are aligned with business and analytical requirements.

• Enhance data pipelines, including partitioning, file compaction, compute utilization, and query costs, to boost performance, scalability, and production stability.

• Implement Unity Catalog governance standards, covering data ownership, permissions, certification, and workflows for access management.

• Set and oversee data reliability standards, including freshness SLAs, completeness thresholds, schema drift detection, and automated anomaly monitoring.

• Manage incident response, pipeline triage, and root-cause analysis for data failures, performance challenges, and metric inconsistencies.

• Act as the primary owner of data reliability, promoting continuous improvement while educating teams on certified datasets, governance practices, and reliable data usage.

⛳️ Requirements

• A Bachelor’s degree in Computer Science, Information Technology, or a related discipline is required.

• Over 5 years of experience in data engineering, analytics engineering, or data platform positions.

• At least 3 years of experience in building production workloads in Databricks or comparable Spark environments.

• Strong proficiency in Databricks, Delta Lake, Lakehouse architecture, and Unity Catalog, encompassing governance, permissions, and data certification standards.

• Advanced programming capabilities in Python, PySpark, and SQL.

• Familiarity with analytical SQL, distributed data processing, production-grade pipelines, and automation.

• Demonstrated experience with data quality, observability, monitoring, anomaly detection, SLAs, validation, lineage, and self-healing pipeline frameworks.

• Extensive knowledge of data modeling, partitioning, file compaction, query/performance tuning, compute optimization, and workload isolation in large-scale production settings.

• Capability to convert technical requirements into business-oriented data solutions, standardize best practices, and mentor teams.

• Experience with Terraform and orchestration tools such as Airflow or Databricks Workflows is preferred.

• Domain knowledge in gaming/hospitality, loyalty/customer engagement, or marketing/commercial analytics is a plus.

🏝️ Benefits

• Wellness incentive programs designed to support your physical and mental health.

• Access to discounts at company hotels, food and beverage outlets, retail, and entertainment, along with savings from company partners on travel, electronics, online shopping, and more.

• Complimentary meals in our employee dining room.

• Free parking available.

• Health & Income Protection benefits for eligible employees.

• Opportunities for professional and personal development through various programs, networking opportunities, and community volunteer initiatives.