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Azure Developer Operations Engineer Jobs in Vermont

Trioptus

DataOps Engineer

Montpelier, VT · On-site

Work within platforms such as Azure DevOps, cloud‑based data lakes, and BI tools * Maintain operational dashboards, KPIs, and performance metrics * Support agile workflows, documentation ...

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Azure Developer Operations Engineer information

What is an Azure Developer Operations Engineer?

Azure Developer Operations Engineers, often referred to as Azure DevOps Engineers, are IT professionals who specialize in automating, deploying, and managing applications and infrastructure on Microsoft Azure cloud services. They work at the intersection of development and operations, implementing continuous integration and continuous delivery (CI/CD) pipelines, monitoring systems, managing cloud resources, and ensuring application reliability and scalability. Their role often involves collaborating with developers, system administrators, and other stakeholders to streamline software delivery and improve operational efficiency using Azure tools and services.

What are the key skills and qualifications needed to thrive as an Azure Developer Operations Engineer?

To thrive as an Azure Developer Operations Engineer, you need expertise in cloud computing, infrastructure as code, automation, and strong knowledge of Microsoft Azure services, often supported by a relevant degree and Azure certifications such as AZ-400. Familiarity with DevOps tools like Azure DevOps, PowerShell, ARM templates, and CI/CD pipelines is typically required. Strong problem-solving, communication, and collaboration skills set top performers apart in this role. These skills are crucial for ensuring reliable, scalable deployments and seamless collaboration between development and operations teams in cloud environments.

What are some common challenges faced by Azure Developer Operations Engineers when implementing CI/CD pipelines?

Azure Developer Operations Engineers often encounter challenges such as integrating diverse tools and technologies, managing permissions and security across multiple environments, and ensuring smooth automation of deployments. Troubleshooting pipeline failures and optimizing build and release times are also frequent tasks, requiring strong problem-solving skills and attention to detail. Collaboration with development, QA, and IT teams is crucial to address environment inconsistencies and to align deployment processes with business needs.

What is the difference between Azure Developer Operations Engineer vs Azure Cloud Engineer?

AspectAzure Developer Operations EngineerAzure Cloud Engineer
CertificationsAzure DevOps, Azure Solutions ArchitectAzure Administrator, Azure Solutions Architect
Primary FocusDevOps practices, CI/CD pipelines, automationCloud infrastructure, deployment, and management
Work EnvironmentDevelopment teams, DevOps pipelines, automation toolsCloud infrastructure, network setup, resource provisioning
Industry UsageSoftware development, DevOps teams, SaaS companiesIT infrastructure, cloud services, enterprise solutions

The Azure Developer Operations Engineer primarily focuses on integrating development and operations through automation, CI/CD pipelines, and DevOps practices. In contrast, the Azure Cloud Engineer concentrates on managing and deploying cloud infrastructure and resources. Both roles require Azure certifications and are vital in cloud-based organizations, but their core responsibilities differ in scope and focus.

What cities in Vermont are hiring for Azure Developer Operations Engineer jobs?

Cities in Vermont with the most Azure Developer Operations Engineer job openings:

Azure Developer Operations Engineer jobs near you

DataOps Engineer

Montpelier, VT • On-site

Trioptus
IT Services • 51 - 200 employees
Learn more about Trioptusexternal

Contractor

Re-posted 11 days ago

Job description

Job Title: DataOps Engineer

Job Type: Contract

Duration: 12–15 months (with potential for extension)

Work Location: Remote (U.S.-based)

Work Hours: Standard business hours

Job Overview

We are seeking an experienced DataOps Engineer to support a large‑scale healthcare data modernization initiative. This role focuses on building and operationalizing modern data quality, governance, analytics, and performance monitoring capabilities within an enterprise data environment.

The ideal candidate will combine strong technical expertise with the ability to collaborate closely with internal teams through hands‑on delivery, documentation, and knowledge transfer. The engagement emphasizes long‑term sustainability, staff enablement, and repeatable best practices rather than one‑time development.

Key Responsibilities

DataOps & Data Quality

  • Develop and maintain data quality rules, validation frameworks, and monitoring processes
  • Implement statistical process control (SPC) and anomaly detection to ensure data reliability
  • Support incident logging, triage, root‑cause analysis, and continuous improvement efforts

Data Governance & Metadata

  • Define and maintain metadata standards, data glossary entries, and end‑to‑end data lineage
  • Establish governance procedures, SOPs, and disclosure/suppression rules
  • Translate downstream analytics and governance requirements into clear upstream data specifications

Analytics & Business Intelligence

  • Design and support governed semantic data models
  • Assist with the development and validation of standardized dashboards and reports
  • Ensure data accuracy, refresh reliability, and compliance with governance standards

Platforms & Tools

  • Work within platforms such as Azure DevOps, cloud‑based data lakes, and BI tools
  • Maintain operational dashboards, KPIs, and performance metrics
  • Support agile workflows, documentation repositories, and collaboration tools

Enablement & Collaboration

  • Partner with internal teams through hands‑on co‑development sessions
  • Create and maintain Wikis, runbooks, and playbooks for long‑term ownership
  • Deliver role‑based training and support organizational readiness initiatives

Required Qualifications

  • Proven experience as a DataOps Engineer, Data Engineer, Analytics Engineer, or similar role
  • Strong background in data quality engineering, governance, and analytics enablement
  • Experience with:
    • Azure DevOps or similar workflow tools
    • Business intelligence platforms (e.g., Power BI or equivalent)
    • Cloud data platforms (Azure, AWS, or similar)
  • Experience working in Agile or iterative delivery environments
  • Strong documentation, communication, and stakeholder collaboration skills
  • Ability to work independently in a remote environment

Preferred Qualifications

  • Certifications such as:
    • Azure Data Engineer
    • Power BI Data Analyst
    • Databricks Data Engineer
    • Data Governance or Data Management certifications
  • Experience in healthcare, public sector, or highly regulated data environments
  • Familiarity with change management and operational enablement practices
     

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