About the Role
Hyatt seeks an experienced Senior Data Engineer who will work closely with engineering, product managers, and data science teams to meet the data requirements of various initiatives.
Responsibilities
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, and other stakeholders to support day‑to‑day operational needs.
Support operational reporting, self‑service data engineering efforts, production data pipelines, and business intelligence suite.
Interface with multiple diverse stakeholders, gather and 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 and 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 and use state‑of‑the‑art technologies to acquire, ingest and transform big datasets.
Commit to Hyatt's core values: respect, integrity, humility, empathy, creativity, and fun.
Qualifications
8+ years of experience in data engineering or related technical work including business intelligence, analytics.
Comfortable solving problems in ambiguous and constantly changing environments; proven ability to thrive in dynamic, fast‑paced settings.
Design and build scalable, robust data pipelines to enable data‑driven decisions.
Strong understanding of the full software development life cycle.
Deep knowledge of data warehousing concepts and approaches.
Experience building data pipelines and ETL approaches.
Experience building high‑volume data workflows in a cloud environment.
Experience building data warehouses and business intelligence projects.
Experience in data cleansing, data validation, and data wrangling.
Hands‑on experience with AWS cloud and native technologies such as Glue, Lambda, Kinesis, Lake Formation, S3, DynamoDB, Step Functions, Athena.
Experience with BI tools like Tableau, Cognos, ThoughtSpot.
Experience with relational databases such as Oracle, Snowflake, including advanced SQL, tasks/streams, stored procedures, and performance tuning.
Hands‑on experience with Snowflake Cortex AI, AI SQL functions or equivalent production LLM platform.
Proficiency in SQL, PL/SQL, NoSQL, relational database concepts, and dimensional modeling.
Hands‑on experience building complex business logic and data ingestion and transformation workflows using Informatica IICS or similar tools, AWS pipelines, Snowpipe, streaming solutions, Kafka.
Hands‑on experience with Python/shell scripting and SQL for building scalable data pipelines.
Experience with CI/CD tools such as GitHub Actions, Jenkins, and infrastructure as code with Terraform or CloudFormation.
Experience implementing LLM observability with Arize or comparable platform is a plus.
Strong verbal and written communication skills; demonstrate integrity, maturity, and a constructive approach to challenges, analytical, problem‑solving skills, and team player.
Passionate about programming and learning new technologies; focus on self and team skill improvement.
Effective problem‑solving and analytical skills, ability to manage multiple projects and report across stakeholders, rigorous attention to detail and accuracy.
Preferred Experience
Bachelor’s degree in engineering, Computer Science, Statistics, Economics, Mathematics, Finance, or related quantitative field.
Benefits
Annual allotment of free hotel stays at Hyatt hotels globally.
Work‑life benefits including wellbeing initiatives such as a complimentary Headspace subscription and discount at on‑site fitness center.
Global family assistance policy with paid time off following birth or adoption, plus financial assistance for adoption.
Paid Time Off; Medical, Dental, Vision; 401(k) with company match.
Salary
The salary range for this position is $135,000 - $170,000 and is also eligible to earn an annual bonus. Final pay rate will depend on experience, skill level, and other qualifications and the location of performance of work. Pay will meet local minimum wage requirements.
Locations
Miraval Arizona Resort and Spa – Tucson, AZ, US
Grand Hyatt Indian Wells Resort and Villas – Indian Wells, CA, US
#J-18808-Ljbffr