Lead Data Engineer

Emploi pas sur LinkedIn

🕒 il y a 1 jour

⚔️ Virginia – Distant

⚔️ Virginia – Remote

💵 $170 000 - $185 000 / an

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

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Hilton

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1919

🏨 Hôtellerie

✈️ Tourisme

Hospitality • Travel

Hilton est une entreprise hôtelière mondiale qui exploite et franchise un vaste portefeuille d'hôtels et de complexes dans les Amériques, en Europe, au Moyen-Orient, en Afrique et dans la région Asie-Pacifique. Les informations fournies se concentrent sur les carrières et les ressources pour les membres de l'équipe - mettant en lumière les parcours hôteliers, corporatifs, et pour étudiants/début de carrière, les avantages, les emplacements et le support multilingue - reflétant le rôle de Hilton en tant qu'employeur international dans le secteur de l'hôtellerie et des services aux clients. L'activité principale de Hilton est centrée sur la fourniture d'hébergements, d'expériences client et de services d'hospitalité dans le monde entier.

Description

• Design, develop, and implement batch and real-time machine learning pipelines supporting forecasting, marketing, revenue management, and customer behavior analytics • Develop data solutions enabling revenue optimization, personalization, and data-driven decision-making across business functions • Apply software engineering principles across requirements gathering, design, development, testing, deployment, and monitoring • Build and optimize scalable data ingestion, transformation, and processing workflows using distributed computing frameworks • Leverage AWS Data Pipeline, AWS Glue, and AWS EMR to design reliable, high-performance data infrastructure • Implement data modeling, feature engineering, and data quality validation for production-grade machine learning and AI solutions • Collaborate with data scientists, analysts, and business stakeholders to translate analytical needs into deployable systems • Troubleshoot production defects and implement long-term fixes • Lead and mentor junior engineers in big data engineering, AI-driven applications, version control, CI/CD, and DevOps automation • Ensure compliance with enterprise data governance, security, and privacy standards • Conduct performance tuning of large-scale pipelines • Research and recommend emerging AI, cloud, and data engineering technologies

🎯 Exigences

• Master's degree or foreign equivalent in Business Analytics, Computer Science and Engineering, or related field and three years of experience in Data Engineering, Analytics, or related occupation • Alternatively, Bachelor's degree or foreign equivalent in Business Analytics, Computer Science and Engineering, or related field and five years of experience in Data Engineering, Analytics, or related occupation • Progressive experience in application development and object-oriented programming using Scala and Python • Experience working with large data sets, Hadoop, data lakes, and cloud technologies • Experience utilizing SQL and NoSQL databases, including Hive, AWS Redshift, Microsoft SQL Server, and MySQL • Experience with REST API integration • Experience leveraging AWS Glue, EMR, or Athena for scalable data engineering • Experience implementing distributed computing frameworks such as Apache Spark and Hadoop MapReduce • Experience applying DevOps tools and CI/CD practices

🏖️ Avantages

• Health insurance • Dental insurance • Vision insurance • 401(k) • Paid time off (PTO) • Life insurance • Disability insurance • Equal Opportunity Employer, including disability/veterans