Senior Data Engineer — Flexible Data Pipelines & AI

Hyatt Hotels Corporation; Chicago (IL); Remote; USD 133,000 - 173,000; Full time

Job summary

Hyatt Hotels Corporation seeks a Senior Data Engineer to lead data pipelines, models, and analytics across teams. You will collaborate with engineering, product management, and data science to meet diverse data needs for Hyatt's initiatives and hospitality platforms.

The role involves building scalable data solutions, integrating multiple sources, and driving on-time delivery in an Agile setting. Experience with AWS, Snowflake, ETL, and BI tools is preferred.

Qualifications

• 5 to 8+ years of data engineering or analytics experience.
• Experience solving problems in dynamic environments with collaboration.
• Design and build scalable data pipelines for data-driven decisions.
• Strong SDLC understanding and data warehousing concepts.
• Experience with AWS, Snowflake, ETL, and BI tools.

Responsibilities

• Design, develop, and support scalable data products and pipelines.
• Partner with product, data science, and engineering teams to translate requirements.
• Operate in Agile/Scrum environments with planning and delivery cycles.
• Ensure data quality, reliability, security, and observability.
• Mentor engineers and contribute to standards and architecture.

Skills

AWS

Snowflake

SQL

Python

ETL

Tableau

Power BI

Informatica IICS Alteryx

Spark/EMR

Data Modeling

Education

Bachelor's degree in engineering, Computer Science, Statistics, Economics, Mathematics, Finance, or a related quantitative field

Tools

AWS

Snowflake

Tableau

Power BI

ThoughtSpot

Informatica IICS

Alteryx

Spark EMR

Snowflake Cortex AI

Job description

Hyatt Hotels Corporation seeks a Senior Data Engineer to lead data pipelines, models, and analytics across teams. You will collaborate with engineering, product management, and data science to meet diverse data needs for Hyatt's initiatives and hospitality platforms.

The role involves building scalable data solutions, integrating multiple sources, and driving on-time delivery in an Agile setting. Experience with AWS, Snowflake, ETL, and BI tools is preferred.