Senior Data Engineer (Remote)

Hyatt Hotels Corporation is seeking an experienced Senior Data Engineer to join its growing engineering team. The role designs, develops, and supports scalable data products, platforms, and pipelines for reporting, business intelligence, self-service analytics, and AI capabilities while partnering with cross-functional stakeholders and providing operational leadership.

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

Requirements:

• 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 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 using Spark EMR, RDS, EC2, Athena, API capabilities, CloudWatch, CloudTrail is a plus
• 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