Senior Data Engineer: Build Scalable Data Pipelines & AI

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

Benefits offered by this job

Annual hotel stays

Flexible work schedule

Headspace subscription

Fitness center discount

Family assistance policy & paid time‑o

Medical/Dental/Vision + 401K with 회사

Job summary

Hyatt Hotels Corporation is seeking a Senior Data Engineer in Chicago to join a fast-paced data engineering team. You will design and implement scalable data pipelines, deliver high-quality analytics-ready data, and collaborate with product managers, data scientists, and engineers to meet business needs.

The role emphasizes cloud-focused data engineering, data quality, and incorporation of Generative AI techniques to enhance data workflows and insights.

Qualifications

• Eight plus years of experience in data engineering, BI analytics, or related technical work.
• Ability to design and build scalable data pipelines in a cloud environment.
• Strong SQL, Python, and data modeling skills with emphasis on data quality.

Responsibilities

• Collaborate with product managers, data scientists, and engineers to define data features and delivery strategies.
• Build, operate, and scale production data pipelines for analytics and stakeholders.
• Interface with diverse partners to gather requirements and deliver high-quality data products on schedule.
• Prototype and evaluate new data tools and AI methods to enable advanced analytics.
• Work in an agile environment and contribute to multiple projects simultaneously.

Skills

Data modeling

SQL

Python

Data pipelines

Generative AI

Education

Bachelor's degree in Engineering or Computer Science

Tools

AWS

Snowflake

Tableau

Kafka

Informatica IICS

Terraform

CloudFormation

GitHub Actions

Jenkins

Arize

Job description

Hyatt Hotels Corporation is seeking a Senior Data Engineer in Chicago to join a fast-paced data engineering team. You will design and implement scalable data pipelines, deliver high-quality analytics-ready data, and collaborate with product managers, data scientists, and engineers to meet business needs.

The role emphasizes cloud-focused data engineering, data quality, and incorporation of Generative AI techniques to enhance data workflows and insights.