Senior Data Engineer — Cloud & DataOps, Remote

GlobalLogic

Minneapolis (MN)

Hybrid

USD 105,000 - 115,000

Full time

4 days ago
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Benefits offered by this job

Flexible work schedules
Work from home opportunities
Competitive compensation

Job summary

GlobalLogic in Minneapolis seeks a Senior Data Engineer with 5+ years of data engineering experience and strong Python skills. The role focuses on AWS data tech (S3, JSON, XML) and CI/CD pipelines using GitLab CI/Jenkins, plus monitoring with CloudWatch, ELK, Dynatrace, and Prometheus.

Strong data governance and documentation are essential. Ideal candidates will have healthcare interoperability tool exposure and ability to design scalable microservices on AWS, with a focus on data integrity and

Qualifications

  • 5+ years of experience in Data Engineering with advanced Python skills.
  • Experience with AWS data technologies, including S3.
  • Experience with JSON and XML formats.
  • Nice to have – Healthcare Interoperability Tools experience (e.g., Intersystems, Lyniate, Redox, Mirth Connect).
  • CI/CD pipelines using GitLab CI, Jenkins, or similar tools.
  • Scripting and automation with Python, PowerShell, etc.
  • Monitoring & logging tools such as CloudWatch, ELK, Dynatrace, Prometheus.
  • Source control with GitLab/GitHub/Gitea or similar.
  • Documentation with Markdown and Antora for technical docs.

Responsibilities

  • Develops, documents, and configures systems specifications in cloud development & engineering.
  • Plan system and deployment development; ensure compliance and security standards.
  • API development using AWS services in a scalable microservices architecture.
  • Identify and fix performance and data handling issues; ensure data integrity and storage requirements.
  • Document testing and maintenance of system updates and configurations.
  • Liaise with technology vendors and other business functions as needed.
  • Design technology solutions meeting company and customer needs.
  • Assess platform functionality for business problems; determine customization needs.
  • Test product quality and its ability to perform tasks.
  • Perform basic maintenance and performance optimization across operating systems.
  • Document detailed technical system specifications based on business requirements.
  • Ensure compliance with global and local regulatory and security standards.

Skills

Data Engineering
Advanced Python

Tools

AWS
AWS CloudWatch
Dynatrace
ELK
GitLab CI
Jenkins
JSON
PowerShell
Prometheus
Python
S3
XML

Job description

GlobalLogic in Minneapolis seeks a Senior Data Engineer with 5+ years of data engineering experience and strong Python skills. The role focuses on AWS data tech (S3, JSON, XML) and CI/CD pipelines using GitLab CI/Jenkins, plus monitoring with CloudWatch, ELK, Dynatrace, and Prometheus.

Strong data governance and documentation are essential. Ideal candidates will have healthcare interoperability tool exposure and ability to design scalable microservices on AWS, with a focus on data integrity and

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