Senior Data Engineer: AI-Driven Data Pipelines & Analytics

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

Benefits offered by this job

Annual hotel stays at Hyatt

Complimentary Headspace subscription

401K with company match

Job summary

Hyatt Group is looking for a Senior Data Engineer in Chicago, IL, to join their engineering team. This role involves developing robust data pipelines, ensuring data integrity, and collaborating with various teams to meet data requirements. Candidates should have at least 8 years of experience in data engineering, with proficiency in AWS, SQL, and experience with data warehousing concepts. The position offers a salary range of $135,000 - $170,000, plus an annual bonus.

Qualifications

• 8+ years of experience within the field of data engineering or related technical work.
• Hands-on experience with AWS cloud and AWS native technologies.
• Experience in building high-volume data workflows.

Responsibilities

• Collaborate with product managers, data scientists, and engineering teams.
• Design scalable data solutions and recommend alternative approaches.
• Build data pipelines and enhance data integrity.

Skills

Data Engineering

AWS

SQL

Data Warehousing

Python

Business Intelligence

Education

Bachelor’s degree in a related field

Tools

Tableau

Informatica IICS

GitHub Actions

Job description

Hyatt Group is looking for a Senior Data Engineer in Chicago, IL, to join their engineering team. This role involves developing robust data pipelines, ensuring data integrity, and collaborating with various teams to meet data requirements. Candidates should have at least 8 years of experience in data engineering, with proficiency in AWS, SQL, and experience with data warehousing concepts. The position offers a salary range of $135,000 - $170,000, plus an annual bonus.