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Remote Azure Data Engineer Jobs in Vermont (NOW HIRING)

Trioptus

DataOps Engineer

Montpelier, VT · Remote

... 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 ...

Trioptus

DataOps Engineer

Montpelier, VT · Remote

... 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 ...

Galen

Software Engineer III

Burlington, VT · Remote

$56.75 - $76.25/hr

We're searching for a remote Software Engineer III to join our Data Solutions Group (Tooling) team ... maintain Azure-based infrastructure and services to ensure reliable, high-performing systems · ...

Crowe LLP

Senior Software Architect

Burlington, VT · Remote

$130K - $176K/yr

Hands-on experience with Azure DevOps or similar tools for work item management, along with Git for ... Financial or Accounting data experience. * Experience with Power BI and data analytics at scale.

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Remote Azure Data Engineer information

What are some common challenges a Remote Azure Data Engineer might face, and how are they typically addressed?

A common challenge for Remote Azure Data Engineers is ensuring secure, reliable data transfer and integration across distributed systems while collaborating with teams that may be in different time zones. This is typically addressed by implementing best practices for cloud security, employing automated monitoring, and leveraging project management tools to stay aligned with cross-functional teams. Clear, proactive communication is essential in a remote environment, as is documentation to keep everyone updated on project progress. Many organizations also offer regular virtual check-ins and access to knowledge-sharing platforms to foster collaboration. By staying organized and proactive, remote Azure Data Engineers can successfully deliver scalable data solutions in a distributed work setup.

What is a Remote Azure Data Engineer job?

A Remote Azure Data Engineer is responsible for designing, implementing, and managing data solutions using Microsoft Azure cloud services while working from a remote location. They work with tools like Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics to process, store, and analyze data. Their role includes data pipeline development, performance optimization, and ensuring data security. Collaboration with data scientists, analysts, and business teams is common to support data-driven decision-making.

What are the key skills and qualifications needed to thrive in the Remote Azure Data Engineer position, and why are they important?

To thrive as a Remote Azure Data Engineer, you need expertise in designing, implementing, and managing data solutions using Microsoft Azure, along with proficiency in SQL, data warehousing, and ETL processes. Familiarity with tools like Azure Data Factory, Azure SQL Database, Databricks, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving skills, effective communication, and the ability to work autonomously make candidates stand out in this remote role. These skills ensure that data pipelines are robust, secure, and scalable, enabling organizations to make data-driven decisions efficiently.

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What job categories do people searching Remote Azure Data Engineer jobs in Vermont look for? The top searched job categories for Remote Azure Data Engineer jobs in Vermont are:
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Remote Azure Data Engineer jobs near you
DataOps Engineer

DataOps Engineer

Trioptus

Montpelier, VT • Remote

Full-time

Posted 6 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 and 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 and 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 and 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 and 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 and 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 #DataOps #DataEngineering #CloudData #AzureDevOps #PowerBI #DataGovernance #AnalyticsJobs

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