Senior Data Engineer — Build Scalable Data Pipelines & AI

Hyatt Hotels Corporation; Chicago (IL); Remote; USD 120,000 - 180,000; Full time

Job summary

Hyatt Hotels Corporation seeks an experienced Senior Data Engineer to join our growing engineering team in Chicago. You will design, build, and maintain scalable data pipelines and models that enable operational reporting, BI, self-service analytics, and AI capabilities.

You will collaborate with product managers, data scientists, and engineers to deliver reliable data solutions while ensuring data integrity and security.

Qualifications

• 5+ years of data engineering or related analytics experience.
• Strong knowledge of data warehousing concepts and ETL design.
• Hands-on experience with AWS cloud services (Glue, Lambda, Kinesis, S3, Redshift).
• Experience with BI tools (Tableau, Power BI) and data visualization.

Responsibilities

• Design, develop, and maintain scalable data pipelines and data products.
• Collaborate with product managers, data scientists, and engineers to translate business needs into technical solutions.
• Ensure data quality, reliability, and security across platforms and projects.
• Mentor junior engineers and contribute to engineering standards and best practices.

Skills

Data engineering

ETL design

SQL / Data warehousing

Cloud AWS

Big data processing

Tools

AWS

Glue

Lambda

Kinesis

Redshift

Tableau

Power BI

ThoughtSpot

Informatica IICS

Alteryx

Spark EMR

Job description

Hyatt Hotels Corporation seeks an experienced Senior Data Engineer to join our growing engineering team in Chicago. You will design, build, and maintain scalable data pipelines and models that enable operational reporting, BI, self-service analytics, and AI capabilities.

You will collaborate with product managers, data scientists, and engineers to deliver reliable data solutions while ensuring data integrity and security.