Senior Data Engineer — Generative AI Data Pipelines

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

Job summary

Hyatt Corporate Office in Chicago seeks a Senior Data Engineer to lead data pipeline design, modeling, and analytics support. You will collaborate with engineers, product managers, and data scientists to deliver scalable data products and reliable data services.

The role emphasizes data integrity, cloud-based pipelines, and enabling AI initiatives, with a strong expectation for leadership across concurrent projects within a fast-paced environment.

Qualifications

• 8+ years of experience in data engineering or related analytics fields.
• Experience designing scalable data pipelines and data warehouses.
• Proficient in Python, SQL, and cloud-based data tooling.

Responsibilities

• Collaborate with product managers, data scientists, and engineers to define data product features.
• Design and build data pipelines that enable reliable analytics and BI.
• Improve data models, pipelines, and data quality across the organization.
• Lead multiple data projects with timely, quality deliverables.
• Interface with stakeholders to gather requirements and translate them into solutions.
• Enable Generative AI initiatives by processing unstructured data and models.

Skills

Big data engineering

Python

SQL

AWS

ETL pipelines

Data modeling

Collaboration

Education

Bachelor's degree in Engineering/CS/Statistics/Math

Tools

AWS

Snowflake

Tableau

Informatica IICS

Kafka

Terraform

CloudFormation

Snowpipe

Job description

Hyatt Corporate Office in Chicago seeks a Senior Data Engineer to lead data pipeline design, modeling, and analytics support. You will collaborate with engineers, product managers, and data scientists to deliver scalable data products and reliable data services.

The role emphasizes data integrity, cloud-based pipelines, and enabling AI initiatives, with a strong expectation for leadership across concurrent projects within a fast-paced environment.