Senior Data Engineer (Chicago- Hybrid)

The Opportunity At Hyatt, we’re working to Advance Care through data‑driven decisions and automation. This mission serves as the foundation for every decision as we create the future of travel. We can’t do that without the best talent – the talent that is innovative, curious, and driven to create exceptional experiences for our guests, customers, owners, and colleagues. Organization – Hyatt Corporate Office Summary: Hyatt seeks an experienced Senior Data Engineer to 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 the data requirements of various initiatives in Hyatt. Responsibilities Take on big data challenges in an agile way. Build data pipelines that enable engineers, analysts, and other stakeholders across the organization. Build data models to deliver insightful analytics while ensuring the highest standard of data integrity. 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. Lead multiple data projects with planned and coordinated execution and on‑time delivery of quality products. Work on all aspects of design, development, and implementation of scalable and reliable data products and pipelines. Apply the latest techniques and approaches across the domains of data engineering and machine learning engineering. Build fantastic relationships across all levels of the organization and act as a problem solver. Collaborate with product managers, data scientists, engineering, and program management teams to define product features, business deliverables, and strategies for data products. Collaborate with business partners, operations, senior management, and other stakeholders for day‑to‑day operational support. Support operational reporting, self‑service data engineering efforts, production data pipelines, and business intelligence suite. Gather and understand business requirements, assess feasibility and impact, and deliver on time with high quality. Design appropriate solutions and recommend alternative approaches when necessary. Research, prototype, and recommend emerging tools and technologies across cloud data engineering and Generative AI. Enable current Generative AI initiatives through the development of pipelines that process unstructured data, transform text, integrate models, and validate generated outputs. Work with high volumes of data, fine‑tune database queries, and solve complex technical problems. Contribute to multiple projects/demands simultaneously. Work in a fast‑paced, collaborative, and iterative environment. Exercise independent judgment in methods and techniques for obtaining results. Work in an agile scrum environment. Use state‑of‑the‑art technologies to acquire, ingest and transform big datasets. Qualifications 8+ years of experience within data engineering or related technical work including business intelligence and analytics. Experience solving problems in an ambiguous environment that is constantly changing. Experience designing and building scalable and robust data pipelines to enable data‑driven decisions for the business. Strong understanding of the full software development life cycle. Strong understanding of data warehousing concepts and approaches. Experience building ETL approaches and high‑volume data workflows in a cloud environment. Experience building data warehouses and business intelligence projects. Experience in data cleansing, data validation, and data wrangling. Hands‑on experience with AWS cloud and AWS native technologies such as Glue, Lambda, Kinesis, Lake Formation, S3, DynamoDB, Step Functions, Athena. Hands‑on experience with API development using AWS API Gateway, CloudWatch, Cognito, ECS, EKS, Fargate. Experience with business intelligence tools like Tableau, Cognos, ThoughtSpot. Experience with relational databases such as Oracle and Snowflake, advanced SQL, streams, stored procedures, and performance tuning. Hands‑on experience with Snowflake Cortex AI, AI SQL functions or equivalent production LLM platform. Proficiency in SQL, PL/SQL, NoSQL, relational databases, database concepts, and dimensional modeling. Experience building complex business logic and data ingestion and transformation workflows using Informatica IICS, AWS pipelines, Snowpipe, streaming solutions, Kafka, and other industry standard tools. Hands‑on experience with Python, shell scripting, and SQL for building scalable data pipelines. Experience with CI/CD tools such as GitHub Actions and/or Jenkins, and infrastructure as code with Terraform and/or CloudFormation. Experience implementing LLM observability with Arize or comparable platform is a plus. 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 warehouses and big data environments. Open‑minded, solution‑oriented, and a very good team player. Passionate about programming and learning new technologies; focused on improving personal and team skills. Efficient problem‑solving and analytical abilities. Ability to manage multiple projects and report simultaneously across different stakeholders. Rigorous attention to detail and accuracy. Preferred Experience Bachelor’s degree in engineering, Computer Science, Statistics, Economics, Mathematics, Finance, or a related quantitative field. Benefits Annual allotment of free hotel stays at Hyatt hotels globally. Flexible work schedule. Work‑life benefits, including wellbeing initiatives such as a complimentary Headspace subscription and a discount at the on‑site fitness center. A global family assistance policy with paid time off following the birth or adoption of a child and financial assistance for adoption. Paid Time Off, Medical, Dental, Vision, 401k with company match. Who You Are As an ideal candidate, you understand the power and purpose of our culture of care, embody our core values of empathy, inclusion, integrity, experimentation, respect, and wellbeing. You enjoy working with others, are results driven, and look for opportunities to develop personally and professionally. 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. Salary and Compensation The salary range for this position is $135,000 – 170,000. This position is also eligible to earn an annual bonus. The final pay rate and salary offered to the successful candidate will depend on experience, skill level, other qualifications for the role, and the location of performance of work. Pay for the successful candidate will meet local requirements, including the local minimum wage rate. #J-18808-Ljbffr Hyatt