Senior Data Engineer - Scale Data Pipelines & AI

Hyatt; Chicago (IL); On-site; USD 133,000 - 173,000; Full time

Benefits offered by this job

Free hotel stays

Flexible work schedule

Headspace subscription

Wellbeing programs

Job summary

Hyatt Hotels Corporation seeks a Senior Data Engineer to join our growing engineering team. You will build data pipelines, models, and integrations across the organization to enable analytics, AI capabilities, and reliable data delivery.

You will mentor engineers, collaborate with product managers and data scientists, and drive scalable data platforms while maintaining data integrity and security across high-volume datasets.

Qualifications

• Bachelor-level technical degree or higher from a recognized institution.
• Experience designing and building scalable data pipelines for data-driven decisions.
• Strong SQL, data warehousing concepts, and BI tooling experience.

Responsibilities

• Design, develop, and support scalable data products, platforms, and pipelines.
• Collaborate with product managers, data scientists, and engineers to deliver data solutions.
• Lead multiple data projects with on-time delivery and quality.
• Promote data quality, observability, and security across data products.

Skills

SQL

Python

AWS Cloud

ETL

Snowflake

Power BI

Education

Bachelor's degree in engineering, CS, stats, economics, mathematics, finance or related quantitative field

Tools

AWS Glue

AWS Lambda

AWS Kinesis

S3

Redshift

Athena

Job description

Hyatt Hotels Corporation seeks a Senior Data Engineer to join our growing engineering team. You will build data pipelines, models, and integrations across the organization to enable analytics, AI capabilities, and reliable data delivery.

You will mentor engineers, collaborate with product managers and data scientists, and drive scalable data platforms while maintaining data integrity and security across high-volume datasets.