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Data Engineer Jobs in Vermont (NOW HIRING)

Element Materials Technology

Data Processor

Barre, VT · On-site

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of ... Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ...

Element Materials Technology

Data Processor

Barre, VT

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of ... Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ...

Element Materials Technology

Data Processor

Rutland, VT · On-site

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of ... Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ...

FHR

M-78-Data Architect 144227.

Montpelier, VT · On-site

$64.50 - $83/hr

Data Architect (Job ID: 144227) Location: Hybrid - Augusta, ME (Onsite once per month; candidates ... Mentor junior developers, providing technical guidance and expertise. Required Skills & Experience:

FHR

M-78-Data Architect 144227.

Burlington, VT · On-site

$64 - $82.25/hr

Data Architect (Job ID: 144227) Location: Hybrid - Augusta, ME (Onsite once per month; candidates ... Mentor junior developers, providing technical guidance and expertise. Required Skills & Experience:

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All JobsData Engineer JobsData Engineer Jobs in Vermont

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.

Data Processor

Colchester, VT • On-site

Element Materials Technology
Manufacturing • 10K+ employees
Learn more about Element Materials Technologyexternal

Full-time

Re-posted 20 days ago

Element Materials Technology rating

7.1

Company rating: 7.1 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

81st of 121 rated laboratories

Job description

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of the operations team in one of the various laboratories across Element, the Data Processer position primarily responsible for assisting in designing, planning, and coordinating geotechnical instrumentation projects, scheduling control, obtaining permits for on-site installation, and setting up and commissioning monitoring.

Responsibilities

  • Propose engineering documents for clients' approval, on-site installation and hands-on monitoring of sensors, instruments, and equipment 
  • Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis, submission of reports 
  • Attending project meetings, schedule control, submit for permits for on-site installation, set up, and commission monitoring 
  • Assist in designing, planning, and coordinating geotechnical instrumentation projects, scheduling control, obtaining permits for on-site installation, and setting up and commissioning monitoring, providing input into health, safety, environmental and quality policies ensuring uptodate documentation 
  • Liaise and coordinate with client for installation and monitoring issues while overseeing all instrumentation works including production of method statements, project quality plan, calibration, installation, data acquisition, data verification, data processing, web database, data presentation, update of instrumentation drawings and reporting 
  • Shall be responsible for preparing all necessary reports as specified in the contract’s documents and client submission 

Skills / Qualifications

  • Working experience in geotechnical instrumentation and site investigation works 
  • Physically fit and able to withstand the challenging working conditions 
  • Strong and determined quality focus with indefatigable determination to get the job done under the most challenging conditions 
  • Self-motivated team player with excellent organisational and communication skills

What Element Materials Technology employees say

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