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# Senior AWS Data Engineer

- **Company:** GlobalLogic
- **Location:** Mounds View, MN, United States
- **Experience:** Expert
- **Salary:** $115,000.0 - $125,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Continuous Integration, Information Engineering, Data Systems, Github, Interoperability, JSON, Python (Programming Language), Windows PowerShell, Markdown, Prometheus, Extensible Markup Language (XML), Data Logging, Scripting, Delivery Pipeline, Gitlab, Git, Gitlab-ci, AWS Data Analytics, Intersystems, Cloudwatch, Software Version Control, Dynatrace, Jenkins
- **Published:** September 2, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=67fdb72f9e9bc07c

## About the Role

Experience in Data Engineering with advanced Python skills.

AWS Platform: Working experience with AWS data technologies, including S3

Data Formats: Experience with JSON, XML and other relevant data formats

Nice to have - HealthCare Interoperability Tools: Previous experience with integration engines such as Intersystems, Lyniate, Redox, Mirth Connect, etc…

CI/CD Tools: experience setting up and managing CI/CD pipelines using GitLab CI, Jenkins, or similar tools

Scripting and automation: experience in scripting language such as Python, PowerShell, etc…

Monitoring and Logging: Familiarity with monitoring & logging tools like CloudWatch, ELK, Dynatrace, Prometheus, etc…

Source Code Management: Expertise with git commands and associated VCS (Gitlab, Github, Gitea or similar)

Documentation: Experience with markdown and in particular Antora for creating technical documentation, * Data Engineering: 8 years (Required)

 * Python: 6 years (Required)
 * AWS: 5 years (Required)