Summary:The Opportunity Hyatt Hotels Corporation seeks an experienced Senior Data Engineer who will be an exceptional addition to our growing engineering team. The Senior Data Engineer will work closely with engineering, product managers and data science teams to meet data requirements of various initiatives in Hyatt.
As a Senior Data Engineer, you will take on big data challenges in an agile way. In this role, you will build data pipelines that enable engineers, analysts and other stakeholders across the organization. You will build data models to deliver insightful analytics while ensuring the highest standard in data integrity. You will integrate different data sources, improve the efficiency, reliability, and latency of our data system, help automate data pipelines, and improve our data model and overall architecture. You will be leading multiple data projects with planned and coordinated execution and on-time delivery of quality products.
You will be part of a highly visible, collaborative and passionate data engineering team and will be working on all the aspects of design, development and implementation of scalable and reliable data products and pipelines.
Applying the latest techniques and approaches across the domains of data engineering, and machine learning engineering isn't just a nice to have, it's a must.
This candidate builds fantastic relationships across all levels of the organization and is recognized as a problem solver who looks to elevate the work of everyone around them. You will be part of a team that is passionate about our purpose, committed to nurturing curiosity and new skills, and building connections across the organization with colleagues, customers, and guests.
The Role Overview The Senior Data Engineer designs, develops, and supports scalable data products, platforms, and pipelines that enable operational reporting, business intelligence, self-service analytics, and advanced AI capabilities. This role partners with cross-functional teams to translate business needs into reliable, high-quality technical solutions while providing operational leadership and solving complex data-engineering challenges.
Key Responsibilities- Partner with product managers, data scientists, machine-learning teams, business stewards, engineering teams, and program management to define product features, business deliverables, and data-product strategies.
- Collaborate with business partners, operations teams, and senior management to provide day-to-day operational support and resolve data-related issues.
- Support operational reporting, self-service data-engineering initiatives, production data pipelines, business-intelligence platforms, and the advancement of AI capabilities.
- Engage with diverse stakeholders to gather and understand business requirements, assess feasibility and impact, and deliver high-quality solutions on schedule.
- Design scalable, secure, and sustainable data solutions, recommending alternative approaches when appropriate.
- Work with high-volume datasets, optimize database queries, and resolve complex technical problems across data platforms and pipelines.
- Acquire, ingest, transform, and integrate large and complex datasets using modern data-engineering technologies.
- Contribute to multiple projects, priorities, and business demands simultaneously while maintaining quality and delivery commitments.
- Operate effectively in a fast-paced, collaborative, and iterative environment.
- Exercise independent judgment in selecting methods, technologies, and approaches to achieve business and technical objectives.
- Participate actively in an Agile/Scrum environment, including planning, estimation, refinement, delivery, and continuous improvement.
- Promote data quality, reliability, scalability, observability, security, and operational excellence across data products and platforms.
- Mentor engineers, share technical knowledge, and contribute to engineering standards, best practices, and architectural decisions.
Core Competencies The ideal candidate demonstrates strong technical expertise, sound judgment, ownership, curiosity, collaboration, and a commitment to delivering practical business outcomes. The candidate also reflects Hyatt's core values of
respect, integrity, humility, empathy, creativity, and fun in every aspect of their work.
Qualifications: Experience Required • 5 to 8+ years of experience within the field of data engineering or related technical work including business intelligence, analytics
• Experience and comfort solving problems in an ambiguous environment where there is constant change. Have the tenacity to thrive in a dynamic and fast-paced environment, inspire change, and collaborate with a variety of individuals and organizational partners
• Experience designing and building scalable and robust data pipelines to enable data-driven decisions for the business
• Very good understanding of the full software development life cycle
• Very good understanding of Data warehousing concepts and approaches
• Experience in building Data pipelines and ETL approaches
• Experience in building Data warehouse and Business intelligence projects
• Hands-on experience in AWS cloud and AWS native technologies such as Glue, Lambda, Kinesis, Lake Formation, S3, Redshift
• Experience using Spark EMR, RDS, EC2, Athena, API capabilities, CloudWatch, CloudTrail is a plus
• Experience with Business Intelligence tools like Tableau, Power BI, and ThoughtSpot.
• Hands-on experience building complex business logics and ETL workflows using Informatica IICS Alteryx.
• Experience in one of the scripting languages: Python or Unix Scripting
• Proficient in SQL, PL/SQL, Cloud warehouse (Snowflake), relational databases (RDBMS), database concepts and dimensional modeling.
• Strong experience using Snowflake native pipelines, Snowflake native app including Streamlet, Python based Container services.
• Experience using AI, including Snowflake Cortex AI capabilities.
• Good knowledge in application and backend API development using Python or Java or Go, TypeScript/JavaScript).
• Strong verbal and written communication skills
• Demonstrate integrity and maturity, and a constructive approach to challenges
• Demonstrate analytical and problem-solving skills, particularly those that apply to Data Warehouse and Big Data environments
• Open minded, solution oriented and a very good team player
• Passionate about programming and learning new technologies; focused on helping yourself and the team improve skills
• Ability to manage multiple projects and report simultaneously across different stakeholders
• Rigorous attention to detail and accuracy of the data, process, requirements.
Experience Preferred: • Bachelor's degree in engineering, Computer Science, Statistics, Economics, Mathematics, Finance, or a related quantitative field
• Professional certifications in AWS, Snowflake
• Experience with Hospitality is also preferred
The position responsibilities outlined above are in no way to be construed as all-encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.
We welcome you: Research shows that individuals tend to apply to jobs only if they meet all the listed job qualifications. Unsure if you check every box, but feeling inspired to enhance your career? Apply. We'd love to consider your unique experiences and how you could make Hyatt even better.
The salary range for this position is $133,200 - $173,000
The final pay rate/salary offered to the successful candidate will depend on experience, skill level and other qualifications for the role, as well as the location of the performance of work. Pay for the successful candidate will meet local requirements, including the local minimum wage rate.
We value our relationships with recruitment partners and require that agencies contact us first before submitting any candidates. Hyatt will not be responsible for any fees and obligations associated with unsolicited submissions unless a formal agreement is in place.
