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Senior Data Engineer (Chicago- Hybrid

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Hispanic Alliance for Career Enhancement
Full Time position
Listed on 2026-07-30
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 135000 - 170000 USD Yearly USD 135000.00 170000.00 YEAR
Job Description & How to Apply Below
Position: Senior Data Engineer (Chicago- Hybrid)

Summary

At Hyatt, we're working to advance care through data-driven decisions and automation. This mission serves as the foundation for every decision as we create the future of travel. We can't do that without the best talent – the talent that is innovative, curious, and driven to create exceptional experiences for our guests, customers, owners, and colleagues.

Hyatt seeks an experienced Senior Data Engineer who will be an exceptional addition to our growing engineering team. The Senior Data Engineer will work closely with engineering, product managers, and data science teams to meet the data requirements of various initiatives in Hyatt. As a Senior Data Engineer, you will take on big data challenges in an agile way, building data pipelines that enable engineers, analysts and other stakeholders across the organization, building data models to deliver insightful analytics, integrating different data sources, improving the efficiency, reliability, and latency of our data system, and leading multiple data projects with planned and coordinated execution and on-time delivery of quality products.

Who

We Are

At Hyatt, we believe in the power of belonging and creating a culture of care, where our colleagues become family. Since 1957 our colleagues and guests have been at the heart of our business and helped Hyatt become one of the best, and fastest growing hospitality brands in the world. Our transformative growth and the addition of new hotels, brands and business lines can open the door for exciting career and growth opportunities to our colleagues.

We turn trips into journeys, encounters into experiences and jobs into careers.

How We Care for Our People

What sets us apart is our purpose‑to‑care for people so they can be their best. Every business decision is made through the lens of our purpose, and it informs how we have and will continue to support each other as members of the Hyatt family.

  • Annual allotment of free hotel stays at Hyatt hotels globally
  • Flexible work schedule
  • Work‑life benefits including wellbeing initiatives such as a complimentary Headspace subscription and a discount at the on‑site fitness center
  • A global family assistance policy with paid time off following the birth or adoption of a child as well as financial assistance for adoption
  • Paid Time Off, Medical, Dental, Vision, 401(k) with company match
Who You Are

As our ideal candidate, you understand the power and purpose of our culture of care, and embody our core values of Empathy, Inclusion, Integrity, Experimentation, Respect and Wellbeing. You enjoy working with others, are results driven, and seek a variety of opportunities to develop personally and professionally.

The Role
  • Collaborate with product managers, data scientists, engineering and program management teams to define product features, business deliverables, and strategies for data products.
  • Collaborate with business partners, operations, senior management, etc. on day‑to‑day operational support.
  • Support operational reporting, self‑service data engineering efforts, production data pipelines, and business intelligence suite.
  • Interface with multiple diverse stakeholders and gather/understand business requirements, assess feasibility and impact, and deliver on time with high quality.
  • Design appropriate solutions and recommend alternative approaches when necessary.
  • Research, prototype, and recommend emerging tools and technologies across cloud data engineering and Generative AI.
  • Enable current Generative AI initiatives through the development of pipelines that process unstructured data, transform text, integrate models, and validate generated outputs.
  • Work with high volumes of data, fine‑tune database queries and solve complex technical problems.
  • Contribute to multiple projects/demands simultaneously.
  • Work in a fast‑paced, collaborative, and iterative environment.
  • Exercise independent judgment in methods and techniques for obtaining results.
  • Work in an agile/scrum environment.
  • Use state‑of‑the‑art technologies to acquire, ingest and transform big datasets.
  • Demonstrate a commitment to Hyatt's core values: respect, integrity, humility, empathy, creativity, and fun.
Qualifications
  • 8+ years of…
Position Requirements
10+ Years work experience
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