Senior Data Engineer: AI-Driven Data Pipelines

Stryker Corporation; Chicago (IL); On-site; Confidential; Full time

Benefits offered by this job

Annual hotel stays

Flexible work schedule

Headspace subscription

Wellbeing and fitness discounts

Family assistance policy

Job summary

Hyatt is seeking a Senior Data Engineer to design and build scalable data pipelines, models, and architectures across data sources. You will work with engineering, product, and data science teams to deliver data products, improve data integrity, and enable analytics at scale.

Typical responsibilities include collaborating across stakeholders, enabling Generative AI initiatives, and optimizing ETL/ELT workflows in a fast-paced agile environment.

Qualifications

• 8+ years of data engineering or related work experience.

Responsibilities

• Collaborate with product managers, data scientists, engineering, and program management to define data product features and roadmaps.

Skills

Verbal communication

Written communication

Team collaboration

Analytical thinking

Problem-solving

Integrity

Adaptability

Education

Bachelor's degree in engineering or related field

Tools

AWS (Glue, Lambda, Kinesis, Lake Formation, S3, DynamoDB, Step Functions, Athena)

AWS API Gateway, CloudWatch, Cognito, ECS, EKS, Fargate

Snowflake Cortex AI

Tableau / Cognos / ThoughtSpot

Python / Shell / SQL

CI/CD (GitHub Actions, Jenkins)

Terraform / CloudFormation

Informatica IICS / ETL tools

Kafka / Streaming solutions

Snowpipe / data pipelines

Job description

Hyatt is seeking a Senior Data Engineer to design and build scalable data pipelines, models, and architectures across data sources. You will work with engineering, product, and data science teams to deliver data products, improve data integrity, and enable analytics at scale.

Typical responsibilities include collaborating across stakeholders, enabling Generative AI initiatives, and optimizing ETL/ELT workflows in a fast-paced agile environment.