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Data Engineering Jobs in Vermont (NOW HIRING)

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 ...

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 ...

Diverse Lynx

AWS Cloud Data Lake Lead

Cambridge, VT · On-site

Diverse Lynx is seeking an AWS Cloud Data Lake Lead to manage a team of data scientists and ML engineers. The role involves defining data science operations strategy, architecting scalable ML ...

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 ...

Trioptus

DataOps Engineer

Montpelier, VT · On-site

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 ...

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 ...

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Showing results 21-40

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 Aug 9, 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 does a data engineer do?

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 data engineering?

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.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They are essential for building and maintaining data pipelines, often working with tools like Apache Spark, Hadoop, and cloud platforms, and typically require strong programming and database skills. The demand is expected to remain strong as organizations continue to prioritize data infrastructure.

What skills and qualifications are needed to thrive as a data engineer?

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 August 2026, with employment types broken down into 80% Full Time, 10% Part Time, and 10% Contract. Highlights an 100% In-person job distribution, with an average salary of $175,456 per year, or $84.4 per hour.

Data Engineer SOW RFP VT

Trioptus

Waterbury, VT • On-site

$114K - $137K/yr

Contractor

Re-posted 2 days ago

Job description

Data Engineer

TriOptus  Waterbury, Vermont, United States (Remote)

Data Engineer – RMS Data Migration (Public Safety)

Location: Remote (U.S. Only)

Engagement Type: Contract

Start: ASAP

Duration: Short term project

About the Role

Our client is upgrading its Records Management System (RMS). We’re seeking an experienced Data Engineer to play a critical role in analyzing, cleansing, mapping, and transforming legacy RMS data for migration into a new platform.

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 Responsibilities

•            Analyze legacy MySQL and Microsoft SQL Server databases to identify tables, relationships, keys, and business logic

•            Reverse engineer undocumented schemas and reconstruct detailed data dictionaries

•            Design and document data mappings between legacy RMS and new RMS schema

•            Develop optimized, repeatable SQL queries for data extraction and transformation

•            Prepare structured and unstructured data (including PDFs and BLOBs) for ingestion

•            Support iterative test migrations and final production cutover

•            Create complete technical documentation and provide knowledge transfer to agency staff

•            Collaborate with State IT teams, RMS vendors, and subject matter experts

✅ Required Skills & Experience

•            Strong experience as a Data Engineer or similar role

•            Advanced SQL development (complex queries, joins, transformations)

•            Hands on experience with MySQL and Microsoft SQL Server

•            Proven expertise in data modeling, normalization, and schema discovery

•            Experience with ETL processes and data transformation for third party systems

•            Ability to interpret and work with incomplete or ambiguous legacy data

•            Strong analytical, communication, and documentation skills

Preferred Qualifications

•            Experience with public safety, RMS, case management, or justice systems

•            Experience processing unstructured data (BLOBs, PDFs, attachments)

•            Prior work on government or statewide IT modernization projects

Work Details

•            100% Remote (must be located within the United States)

•            Access to systems via State provided virtual desktop

•            Work performed during State business hours (7:45 AM – 4:30 PM ET)

•            Background check required

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