Lead Data Engineer

EXCEPTIONAL HOSPITALITY STARTS WITH YOU

Job title: Lead Data Engineer

Location: McLean, VA (position allows 100% full remote work anywhere in the U.S.)

What will I be doing?

Design, develop, and implement machine learning pipelines (batch and real-time) to support forecasting, marketing, revenue management, and customer behavior analytics. Develop innovative data solutions that enable revenue optimization, personalization, and data-driven decision-making across business functions with minimal oversight. Apply industry-standard software engineering principles throughout the lifecycle, including requirements gathering, design, development, testing, deployment, and monitoring. Build and optimize scalable data ingestion, transformation, and processing workflows using distributed computing frameworks. Leverage cloud-based services, including AWS Data Pipeline, AWS Glue, AWS EMR to design reliable, high-performance data infrastructure. Implement robust data modeling, feature engineering, and data quality validation to support production-grade machine learning and AI solutions. Collaborate with data scientists, analysts, and business stakeholders to translate analytical needs into deployable systems. Troubleshoot and resolve production defects while implementing long-term fixes. Lead and mentor junior engineers in best practices for big data engineering, AI-driven applications, version control, CI/CD, and DevOps automation. Ensure compliance with enterprise data governance, security, and privacy standards, while conducting performance tuning of large-scale pipelines. Research and recommend emerging technologies in AI, cloud, and data engineering to enhance enterprise capabilities.

Requirements:

Requires 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 required. Must have progressive experience in application development and object-oriented programming using Scala and Python; working with large data sets, Hadoop, data lakes, and cloud technologies; utilizing SQL and NoSQL databases such as Hive, AWS Redshift, Microsoft SQL Server, MySQL, and REST API integration; leveraging cloud-based services, such as AWS Glue, EMR, or Athena for scalable data engineering; implementing distributed computing frameworks, such as Apache Spark, Hadoop MapReduce, and Apache; and applying DevOps tools and CI/CD practices.

SALARY: $170,000 - $185,000 / year

BENEFITS: Health/Dental/Vistion ins., 401(K), PTO, Life/Disability Ins. & more

TO APPLY: Apply to Hilton Domestic Operating Company Inc. at using req. #217847 or submit your resume to View email address on click.appcast.io [View email address on click.appcast.io]. Please include the job title and requisition # in the subject line of the e-mail.

#LI-DNI

Join an Award-Winning Workplace Culture

At Hilton, we don’t just deliver exceptional experiences for our guests—we build an exceptional workplace for the Team Members who make it all possible. As a global leader in hospitality, we’ve welcomed more than 3 billion guests worldwide, all while staying true to our founding vision: to fill the earth with the light and warmth of hospitality. Our award-winning culture has earned us repeated recognition on the World’s Best Workplaces list by Great Place to Work and Fortune. With our suite of world-class brands [ [ and a company-wide commitment to providing the best stay for every guest, we’re setting new standards for the future of travel. Whether you’re starting your career or exploring something new, Hilton supports your journey every step of the way. Come for the job, stay for the career—and help us make every stay a little more magical. Curious about life at Hilton? Explore our Careers Blog [ to see why we’re more than a great place to stay—we’re a great place to work.