Senior Data Engineer (Chicago- Hybrid)

The Role 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, etc. on day‑to‑day operational support Support operational reporting, self‑service data engineering efforts, production data pipelines, and business intelligence suite Interface with multiple diverse stakeholders and gather/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 The ideal candidate demonstrates a commitment to Hyatt's core values: respect, integrity, humility, empathy, creativity, and fun Qualifications 8+ years of experience within the field of data engineering or related technical work including business intelligence and analytics Experienced and comfortable solving problems in an ambiguous environment where there is constant change; ability 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 building data pipelines and ETL approaches Experience building 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 in AWS cloud and AWS native technologies such as Glue, Lambda, Kinesis, Lake Formation, S3, DynamoDB, Step Functions, Athena Experience with business intelligence tools like Tableau, Cognos, ThoughtSpot Experience with relational databases like Oracle, Snowflake, including advanced SQL, tasks/streams, stored procedures, and performance tuning Hands‑on experience with Snowflake Cortex AI, AI SQL functions or an equivalent production LLM platform Proficient in SQL, PL/SQL, NoSQL, relational databases (RDBMS), database concepts, and dimensional modeling Hands‑on experience building complex business logic and data ingestion and transformation (ETL/ELT) workflows using Informatica IICS or similar tools, AWS pipelines, Snowpipe, streaming solutions, Kafka and other industry standard tools and processes is preferred 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 a 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 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 to improve skills Effective problem‑solving and analytical skills Ability to manage multiple projects and report simultaneously across different stakeholders Rigorous attention to detail and accuracy Experience preferred: Bachelor’s degree in engineering, computer science, statistics, economics, mathematics, finance, or a related quantitative field 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. 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/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. Miraval Berkshires Resort and Spa – Lenox, MA, US #J-18808-Ljbffr Hyatt Hotels Corporation