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Data Engineer Jobs in Vermont (NOW HIRING)

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Data Engineer information

See Vermont salary details

$47.3K

$137.9K

$188.7K

How much do data engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for data engineer in Vermont is $137,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,700.00 and $146,200.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Vermont?

The most popular types of Data Engineer jobs in Vermont are:

What are popular job titles related to Data Engineer jobs in Vermont?

For Data Engineer jobs in Vermont, the most frequently searched job titles are:

What job categories do people searching Data Engineer jobs in Vermont look for?

The top searched job categories for Data Engineer jobs in Vermont are:

What are popular job titles related to Data Engineer jobs in VT?

For Data Engineer jobs in VT, the most frequently searched job titles are:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Vermont as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 16% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $137,921 per year, or $66.3 per hour.

Senior Microsoft Purview Data Security Engineer

West Topsham, VT • On-site

2T Consulting
IT Services • 51 - 200 employees
Learn more about 2T Consultingexternal

$111K - $153K/yr

Full-time

Posted 7 days ago

Job description

Roles and Responsibilities
  • Design, implement, administer, and optimize enterprise Microsoft Purview architecture, governance models, policies, and operational processes.
  • Serve as a technical SME for Purview DLP, Information Protection, Sensitivity Labels, Insider Risk Management, Records Management, DSPM, eDiscovery, Audit, and Compliance Manager.
  • Configure and manage Sensitive Information Types (SITs), Exact Data Match (EDM), Trainable Classifiers, and data protection controls.
  • Develop and enforce data protection policies across Exchange, SharePoint, Teams, endpoints, and other Microsoft 365 workloads.
  • Design and implement data security and governance controls for Microsoft 365 Copilot and AI-enabled workloads.
  • Extend data protection and governance capabilities across Azure and multi-cloud environments.
  • Partner with Security Operations, Legal, Privacy, Compliance, and Cloud Engineering teams to translate regulatory requirements into technical controls.
  • Integrate Microsoft Purview with Microsoft Defender XDR and Microsoft Sentinel to improve security monitoring and incident response.
  • Develop PowerShell automation for Purview administration, policy management, reporting, and operational tasks.
  • Create security posture reports and dashboards using Power BI.
  • Conduct platform health checks, troubleshoot security and compliance issues, and continuously improve the data security posture.
  • Establish deployment, change management, documentation, and operational governance standards for data security solutions.
Required Qualifications
  • Bachelor’s degree in Cybersecurity, Computer Science, Information Technology, or equivalent practical experience.
  • 5+ years of information security engineering experience.
  • 3+ years of hands-on Microsoft Purview implementation and administration experience.
  • Strong experience implementing:
    • Microsoft Purview DLP
    • Information Protection and Sensitivity Labels
    • Sensitive Information Types (SITs)
    • Exact Data Match (EDM)
    • Trainable Classifiers
    • Insider Risk Management
    • Records Management
    • eDiscovery, Audit, and Compliance Manager
  • Hands-on experience with Microsoft Defender for Endpoint, Microsoft Intune, and Microsoft 365 security.
  • Strong PowerShell scripting and automation experience.
  • Experience integrating Microsoft security and compliance technologies with Microsoft Sentinel and Defender XDR.
  • Strong understanding of data protection, information governance, compliance, and security operations.
  • Knowledge of security and compliance frameworks such as NIST, ISO 27001, and GDPR.
  • Strong analytical, troubleshooting, communication, and stakeholder management skills.
Preferred Qualifications
  • Experience with Microsoft Purview Data Map, Data Security Posture Management (DSPM), and enterprise data discovery/scanning.
  • Experience securing and governing Microsoft 365 Copilot and AI-enabled technologies.
  • Experience developing Power BI security and compliance dashboards.
  • Strong knowledge of Zero Trust security principles.
  • Familiarity with HIPAA, PCI-DSS, SOX, and CCPA requirements.
  • Experience working in highly regulated or compliance-driven enterprise environments.

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