Lead Data Engineer

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🔥 0 minutes ago

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $170k - $185k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Hilton

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1919

🏨 Hospitality

✈️ Travel

Hospitality • Travel

Hilton is a global hospitality company that operates and franchises a large portfolio of hotels and resorts across the Americas, Europe, the Middle East, Africa, and Asia Pacific. The provided information focuses on careers and team member resources — highlighting hotel, corporate, and student/early-career paths, benefits, locations, and multilingual support — reflecting Hilton’s role as an international employer in the lodging and guest-services industry. Hilton’s core business centers on providing accommodations, guest experiences, and hospitality services worldwide.

📋 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

🎯 Requirements

• 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

🏖️ Benefits

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