
201 - 500 employees
Founded 1968
📣 Marketing
đź’Ľ Consulting
📦 Logistics
Marketing • Consulting • Logistics
Preferred Hotels & Resorts is a global brand that represents a collection of some of the finest independent luxury hotels and resorts worldwide. The company focuses on providing memorable luxury experiences through exceptional service, unique accommodations, and high-quality amenities that cater to personalized guest preferences. With properties located in prime destinations across the globe, Preferred Hotels & Resorts emphasizes individuality and local culture while ensuring a high standard of hospitality.
đź•’ August 13
🏢🏡 Newport Beach – Hybrid
đź’µ $120k - $150k / year
⏰ Full Time
🟡 Mid-level
đźź Senior
đźš° Data Engineer
đź‘» Ghost score 2%
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201 - 500 employees
Founded 1968
📣 Marketing
đź’Ľ Consulting
📦 Logistics
Marketing • Consulting • Logistics
Preferred Hotels & Resorts is a global brand that represents a collection of some of the finest independent luxury hotels and resorts worldwide. The company focuses on providing memorable luxury experiences through exceptional service, unique accommodations, and high-quality amenities that cater to personalized guest preferences. With properties located in prime destinations across the globe, Preferred Hotels & Resorts emphasizes individuality and local culture while ensuring a high standard of hospitality.
• Design, build, and maintain scalable data pipelines and ETL workflows • Develop and optimize advanced SQL, Python, and Spark solutions for data processing • Build and support integrations using Azure Data Factory, Microsoft Fabric, and REST/SOAP APIs • Monitor, troubleshoot, and improve the reliability and performance of production data processes • Collaborate with business stakeholders to gather requirements and deliver data solutions • Participate in code reviews and maintain technical documentation • Mentor junior engineers and contribute to engineering best practices • Independently deliver well-designed data solutions and identify opportunities to improve data platform reliability, performance, and value
• 5+ years of experience in data engineering or a related field • Bachelor's degree in Computer Science, Information Systems, or equivalent experience • Strong SQL development and query optimization experience • Experience with Python and modern ETL/orchestration tools • Experience with Microsoft Azure, Microsoft Fabric, or similar cloud data platforms • Experience using Git and collaborative software development practices • Strong understanding of data modeling and ETL concepts • Experience with Azure Data Factory and Microsoft Fabric • Experience with dbt is a plus • Technical leadership experience and ability to deliver complex initiatives • Strong analytical and problem-solving abilities • Ability to independently manage complex technical work while collaborating across teams • Strong written and verbal communication skills • Commitment to continuous improvement and knowledge sharing
• Flexible remote work • Professional development opportunities • Mentorship opportunities • Inclusive, collaborative workplace culture
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