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Data Engineering Jobs in Vermont (NOW HIRING)

Agri-Mark/Cabot Creamery

Data Engineer

Waitsfield, VT · On-site

$90/hr

Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field. * 3+ years of hands-on experience in data engineering or a related discipline. * Proficiency in ...

Agri-Mark

Data Engineer

Waitsfield, VT · Hybrid

$90K - $95K/hr

Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field. * 3+ years of hands-on experience in data engineering or a related discipline. * Proficiency in ...

Pwc

Data Engineer - Senior Manager

Montpelier, VT · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Pwc

Data Engineer - Senior Associate

Montpelier, VT · On-site

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Pwc

Data Engineer - Manager

Montpelier, VT · On-site

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

TriOptus LLC

Data Engineer SOW RFP VT

Waterbury, VT · On-site

$114K - $137K/yr

This role involves working with under documented legacy MySQL/MSSQL databases, reverse engineering schemas, and supporting secure, accurate data ingestion into a third party RMS solution. Key ...

Trioptus

Data Engineer SOW RFP VT

Waterbury, VT · On-site

$114K - $137K/yr

This role involves working with under documented legacy MySQL/MSSQL databases, reverse engineering schemas, and supporting secure, accurate data ingestion into a third party RMS solution. Key ...

Thomson Reuters

Data Engineer

Burlington, VT · On-site

$114K - $138K/yr

TRSS Data Engineers and Data Scientists serve several Federal Law Enforcement agencies by collecting, integrating, resolving, analyzing, modeling, and explaining large data in support of complex ...

THOMSON REUTERS

Data Engineer

Burlington, VT · Hybrid

$114K - $138K/yr

TRSS Data Engineers and Data Scientists serve several Federal Law Enforcement agencies by collecting, integrating, resolving, analyzing, modeling, and explaining large data in support of complex ...

TriOptus LLC

DataOps Engineer

Montpelier, VT · On-site

$115K - $139K/yr

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 ...

Pwc

US Tech - AI Engineering Manager

Montpelier, VT · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

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All JobsData Engineering JobsData Engineering Jobs in Vermont

Data Engineering information

See Vermont salary details

$48.9K

$175.5K

$258.9K

How much do data engineering jobs pay per year?

As of Jun 7, 2026, the average yearly pay for data engineering in Vermont is $175,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,900.00 and $180,800.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

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

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Vermont? The most popular types of Data Engineering jobs in Vermont are:
What are popular job titles related to Data Engineering jobs in Vermont? For Data Engineering jobs in Vermont, the most frequently searched job titles are:
What job categories do people searching Data Engineering jobs in Vermont look for? The top searched job categories for Data Engineering jobs in Vermont are:
Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Vermont as of May 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $175,456 per year, or $84.4 per hour.
Semantic Data Engineer | Digital Operations

Semantic Data Engineer | Digital Operations

BETA Technologies

South Burlington, VT

$114K - $138K/yr

Other

Posted 17 days ago

Job description

We are seeking a Semantic Data Engineer to join our Data and AI Platform team, bringing deep expertise in semantic technologies, linked data, and metadata management to help design and build intelligent data platforms that unlock the full value of our organization's information assets. In this role, you will combine strong data engineering fundamentals with specialized knowledge of semantic modeling and data interoperability to create robust, scalable solutions that enable rich data discovery, automated reasoning, and seamless integration across diverse data sources. You will work collaboratively with data scientists, platform engineers, and domain experts to evaluate, architect, and implement the most appropriate semantic solutions while ensuring they integrate seamlessly with our broader data and AI infrastructure. The ideal candidate is a pragmatic technologist who can translate complex business requirements into elegant semantic data models and has hands-on experience building production-ready systems that make data more findable, accessible, and reusable across the enterprise.
 
How you will contribute to revolutionizing electric aviation:
  • Design and build scalable data platform capabilities that empower domain teams through extensible frameworks and standards, enabling them to manage their data assets within a cohesive semantic architecture spanning the enterprise
  • Implement robust data integration solutions and unified namespace patterns that create a digital thread connecting real-time and historical information across the entire product lifecycle-from design through manufacturing to field operations
  • Build optimized data storage architectures and metadata management systems including data lakes, warehouses, knowledge graphs, and enterprise catalogs that make all organizational knowledge discoverable and actionable
  • Develop semantic layers and ontologies that capture domain expertise and business logic, making implicit organizational knowledge explicit and machine-readable in formats that both humans and AI systems can leverage, while preserving traceability across the product lifecycle
  • Create unified data access services that expose the digital thread to stakeholders across the organization, breaking down silos between engineering, manufacturing, operations, and business teams
  • Implement data quality frameworks and lineage solutions that ensure accuracy across diverse data types while illuminating information flow through complex systems-essential for aerospace compliance, continuous improvement, and establishing the trusted data foundation required for advanced analytics and AI
  • Partner with cross-functional teams to strengthen the digital thread through DataOps practices and champion data governance standards that keep our diverse data assets trusted, accessible, and valuable
  • Actively contribute to a collaborative team environment through code reviews, knowledge sharing, and constructive feedback that continuously improves our data solutions and maintains high engineering standards
Minimum Qualifications:
  • Bachelor's degree in Computer Science, Information Systems, Data Science, or related technical field (or equivalent practical experience)
  • 3+ years of professional experience in data engineering or related field
  • Hands-on experience with semantic technologies, knowledge graphs, or linked data systems
  • Experience designing and implementing ontologies, taxonomies, or semantic data models
  • Proficiency with modern data engineering tools and languages (e.g., Python, SQL)
  • Experience with graph databases (e.g., Neo4j, Amazon Neptune, Stardog) and/or triple stores
  • Strong understanding of data integration patterns and API design
  • Excellent communication skills with ability to translate technical concepts for diverse audiences
  • Experience with cloud platforms (preferably AWS)
  • Experience with DataOps practices and modern data platform architectures (cloud and hybrid)
  • Understanding of DevOps practices including CI/CD, version control (Git), and infrastructure as code
  • Ability to work collaboratively in a fast-paced environment
  • Exceptional troubleshooting skills with the ability to spot issues before they become problems
Above and Beyond Qualifications:
  • Advanced degree in Computer Science or related field
  • 5+ years of experience specifically working with semantic technologies in production environments
  • Expert-level knowledge of semantic web standards (RDF, OWL, SPARQL, SHACL)
  • Experience building and scaling knowledge graphs in enterprise settings
  • Proficiency with additional programming languages (e.g., Scala, Java) and distributed computing frameworks (Spark, Flink)
  • Hands-on experience with metadata management platforms and enterprise data catalogs
  • Track record of implementing data lineage and data quality solutions at scale
  • Experience working in regulated industries or with complex data governance frameworks
  • Familiarity with aerospace/manufacturing data standards
  • Knowledge of IoT protocols and time-series data management
  • Publications, presentations, or open-source contributions in semantic technologies
  • Familiarity with aviation regulations and standards (DO-178, DO-254, DO-330 etc.) as they relate to data systems

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