Senior Data Engineer: Build Scalable Data Pipelines & AI

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

Benefits offered by this job

Annual free hotel stays worldwide

Headspace wellbeing subscription

On-site fitness center discount

Family assistance policy & paid time‑$

Job summary

Hyatt Hotels Corporation is seeking an experienced Senior Data Engineer to join our growing data engineering team. You will build and optimize data pipelines, models, and analytics that empower engineers, analysts, and product teams across Hyatt.

You will collaborate with data science, engineering, and product management to deliver scalable, reliable data products while advancing data integrity and performance in a fast-paced, agile environment.

Qualifications

• 8+ years of experience in data engineering or related analytics roles.
• Experience designing scalable data pipelines and data warehouses.
• Strong SQL, Python, and data wrangling skills.
• Experience with cloud data platforms (AWS) and BI tools.
• Ability to work in a fast-paced, agile environment.

Responsibilities

• Collaborate with product managers, data scientists, and engineers to define data product features.
• Design, develop, and maintain scalable data pipelines and data models.
• Support operational reporting and self-service data analytics across the organization.
• Implement robust data quality, governance, and observability practices.

Skills

SQL

Python

ETL/ELT

Data modeling

CI/CD

Education

Bachelor’s degree in Engineering / Computer Science

Tools

AWS

Snowflake

Tableau

Glue

Lambda

Kinesis

S3

DynamoDB

Athena

Terraform

Job description

Hyatt Hotels Corporation is seeking an experienced Senior Data Engineer to join our growing data engineering team. You will build and optimize data pipelines, models, and analytics that empower engineers, analysts, and product teams across Hyatt.

You will collaborate with data science, engineering, and product management to deliver scalable, reliable data products while advancing data integrity and performance in a fast-paced, agile environment.