Senior Data Engineer

Hyatt

Senior Data Engineer at Hyatt developing robust data pipelines and supporting data-driven decisions. Collaborating with cross-functional teams in a dynamic and fast-paced environment.

Posted 4/29/2026full-timeRemote • Illinois • 🇺🇸 United StatesSenior💰 $135,000 - $170,000 per yearWebsite

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloudCognosEC2ETLInformaticaKafkaNoSQLOraclePythonRDBMSSDLCSparkSQLTableauUnix

About the role

Key responsibilities & impact

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.
Work with high volumes of data, fine tuning database queries and able to 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.

Requirements

What you’ll need

8+ years of experience within the field of data engineering or related technical work including business intelligence, analytics.
Experience and comfortable solving problems in an ambiguous environment where there is constant change. Have the tenacity to thrive in a dynamic and fast-paced environment, inspire change, and collaborate with a variety of individuals and organizational partners.
Experience designing and building scalable and robust data pipelines to enable data-driven decisions for the business.
Very good understanding of the full software development life cycle.
Very good understanding of Data warehousing concepts and approaches.
Experience in building Data pipelines and ETL approaches.
Experience in building high-volume data workflows in a cloud environment.
Experience in building Data warehouse and Business intelligence projects.
Experience in data cleansing, data validation and data wrangling.
Hands-on experience in AWS cloud and AWS native technologies such as Glue, Lambda, Kinesis, Lake Formation, S3, Redshift.
Experience using Spark EMR, RDS, EC2, Athena, API capabilities, CloudWatch, CloudTrail is a plus.
Experience with Business Intelligence tools like Tableau, Cognos, ThoughtSpot.
Experience with relational databases like DB2, Oracle, Redshift, Snowflake.
Proficient in SQL, PL/SQL, NoSQL, relational databases (RDBMS), database concepts and dimensional modeling.
Hands-on experience building complex business logics and data ingestion and transformation (ETL/ELT) workflows using Informatica IICS or similar tools, AWS pipelines, Snowpipe, Streaming solutions, Kafka and other industry standard tools and processes is preferred.
Hands-on experience in scripting languages: Python and/or Unix Scripting.
Strong verbal and written communication skills.
Demonstrate integrity and maturity, and a constructive approach to challenges.
Demonstrate analytical and problem-solving skills, particularly those that apply to Data Warehouse and Big Data environments.
Open minded, solution oriented and a very good team player.
Passionate about programming and learning new technologies; focused on helping yourself and the team to improve skills.
Effective problem solving and analytical skills.
Ability to manage multiple projects and report simultaneously across different stakeholders.
Rigorous attention to detail and accuracy.

Benefits

Comp & perks

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, 401K with company match

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringbusiness intelligencedata pipelinesETLdata warehousingdata cleansingdata validationdata wranglingSQLPython

Soft Skills

problem-solvingcommunicationcollaborationanalytical skillsattention to detailadaptabilityteam playerindependent judgmenttenacityintegrity