Sr. DevOps Engineer -- heavy Data background need ENTERPRISE experience with Fabric and Python

Remote • Posted 11 hours ago • Updated 10 hours ago
Contract W2
12 Months
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • DevOps Engineer
  • Data
  • ENTERPRISE
  • Fabric
  • python

Summary

Sr. DevOps Engineer with heavy Data background need ENTERPRISE experience with Fabric and Python.

12 months

100% remote

One and done interview manager moves fast

Top Skills' Details

  • Please only send candidates with elite, 10/10 communication -- this is a shadow IT team within a finance/commercial group so they are very close to the business, who have very high expectations for business analysis skills.
  • 7 10+ years experience in DevOps, Data Engineering, or Cloud Engineering

Strong expertise with:

  • CI/CD pipeline architecture
  • Microsoft Fabric CI/CD API and REST-based automation

Advanced proficiency in:

  • Python development (building automation frameworks, deployment tooling)

Hands-on experience with:

  • Git-based workflows (branching, pull requests, releases)
  • Azure DevOps or GitHub Actions

Strong understanding of:

  • Cloud-native architectures (Azure preferred)
  • Data platforms and analytics lifecycle management

Job Description

We are seeking a Senior Microsoft CI/CD DevOps Engineer. This role focuses on building robust CI/CD pipelines leveraging the Microsoft Fabric CI/CD API and Python-based frameworks to enable scalable, governed, and production-ready analytics and web solutions.

You will play a key role in modernizing deployment practices and integrating Fabric with enterprise platforms and web applications.

Additional Skills & Qualifications

Experience with:

  • Microsoft Fabric (huge plus)
  • Kubernetes (K8s) in production environments
  • Rancher for cluster management

Familiarity with:

  • REST APIs, microservices, and event-driven architectures
  • Data governance, lineage, and security frameworks
  • Experience with API-driven deployment strategies for analytics platforms
  • Exposure to enterprise web-based data applications
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90973529
  • Position Id: 9003659
  • Posted 11 hours ago
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Vijay Maragoni

Vijay Maragoni

Recruiter! @ Tech Rakers
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