Senior Data Engineer - Flexible Schedule & AI Pipelines

Hyatt Hotels Corporation; Chicago (IL); On-site; USD 135,000 - 170,000; Full time

Benefits offered by this job

Free hotel stays

Flexible schedule

Headspace access

Fitness center discount

Family assistance policy

Job summary

Hyatt Hotels Corporation seeks a Senior Data Engineer in Chicago to build scalable data pipelines supporting analytics and product needs. You will collaborate with cross-functional teams to deliver reliable data products and drive data-driven decision making.

The role emphasizes AWS-based data engineering, data warehousing, and BI integration, with opportunities to implement Generative AI pipelines and modern data architectures.

Qualifications

• 8+ years in data engineering or related tech roles.

Responsibilities

• Collaborate with product managers, data scientists, and engineers to define data product features.
• Support operational reporting, self-service data engineering, and BI stacks.
• Design scalable data pipelines and architectures to enable data-driven decisions.

Skills

Data engineering

ETL pipelines

SQL

Python

AWS

Big data

Education

Bachelor's degree in engineering/CS/Statistics/Economics/Math/Finance

Tools

AWS (Glue, Lambda, Kinesis)

Snowflake

Tableau/Cognos/ThoughtSpot

Informatica IICS

Terraform/CloudFormation

Job description

Hyatt Hotels Corporation seeks a Senior Data Engineer in Chicago to build scalable data pipelines supporting analytics and product needs. You will collaborate with cross-functional teams to deliver reliable data products and drive data-driven decision making.

The role emphasizes AWS-based data engineering, data warehousing, and BI integration, with opportunities to implement Generative AI pipelines and modern data architectures.