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Data Engineer Jobs in Vermont (NOW HIRING)

Pwc

Data Engineer - Senior Associate

Montpelier, VT · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Trioptus

DataOps Engineer

Montpelier, VT · On-site

DataOps Engineer Job Type: Contract Duration: 12-15 months (with potential for extension) Work ... Develop and maintain data quality rules, validation frameworks, and monitoring processes

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 ...

Data Innovations

Support Engineer 1

Colchester, VT

$40K - $56K/yr

The Data Innovations Support Engineer 1 provides high quality, world class technical support to Data Innovations' customers and Business Partners on our software products, services and general ...

Pwc

NGA AI Engineer Manager

Montpelier, VT

$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 ...

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 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 Aug 9, 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 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.

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.

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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. 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 and proficiency with tools like SQL, Python, and cloud platforms.
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 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 cities in Vermont are hiring for Data Engineer jobs? Cities in Vermont with the most Data Engineer job openings:
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 July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 11% Part Time, and 9% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $137,921 per year, or $66.3 per hour.

Data Engineer with Security Clearance

Thomson Reuters Special Services LLC

Burlington, VT • On-site

$112K - $135K/yr

Other

Re-posted 29 days ago

Job description

Job Description
Summary and Description Thomson Reuters Special Services (TRSS) is looking for a Data Engineer to support our Federal Law Enforcement customers. 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 investigations. Success in this role requires strong technical depth, the initiative to operate with minimal direction, creativity to develop novel solutions, and a mission-focused mindset. TRSS supports the full range of Federal Law Enforcement missions including, but not limited to: Immigration Enforcement, Emerging Threat Detection, Money Laundering, Fraud, Force Protection, Human Rights Crimes, Transnational Crime, and more. Outside of contract work, you may contribute to internal innovation by participating in research and development (R&D), developing and maintaining shared capabilities, strengthening technical skills, and supporting business development efforts such as proof-of-concept projects and capabilities briefings. This opportunity is specifically for positions located on US Government customer sites in the Burlington, VT area. This is not a telework position. If you are passionate about the chance to put your skills to practice in support of Federal Law Enforcement, then we are looking for you! ​ About the Role A successful candidate must possess the following minimum qualifications. Please ensure your resume and application clearly demonstrate that you have: United States Citizenship (essential to comply with government contract requirements). Ability to obtain and maintain a U.S. security clearance or agency work suitability determination, as required by assignment. Willingness to work full time, on-site, embedded at US Government offices in the Burlington, VT area. Bachelor’s or Master’s Degree in a technical field At least 3 years of relevant experience, including some combination of: Proficiency in at least one programming language (Python, Java, R, etc), including creating programs for ETL, data pipelines, and entity resolution Proficiency in multiple variants of SQL, including complex queries, table and view creation, and database performance tuning Experience with managing enterprise databases and warehouses, particularly MS SQL Server, Databricks, Snowflake Data modeling across disparate data sources with a variety of formats and structures Ability to interface directly with customers at all levels and be a representative of TRSS. Ability to handle sensitive, confidential, or regulated data in accordance with applicable policies and requirements. Ability to work both independently and as a member of a team. Ability to interpret customer requests and/or problem statements into clear project plans, develop project goals and methods, and deliver actionable results within required timeframes. Additional Desired Skills Experience with Cloud data platforms (Azure, AWS, Snowflake, etc.) Experience with formal SDLC (Software Development Life Cycle) procedures Experience with version control software and methodology, preferably Github About you:​ Preference will be given to candidates who possess the minimum qualifications and the following preferred qualifications. Please ensure your resume and application clearly demonstrate that you have: Current/Active government work suitability or security clearance. Experience working with law enforcement agencies. Programming skills in multiple languages other than Python (Python is a minimum requirement) including R, Java, or SQL. Experience with software development, including managing collaborative codebases, version control, linting/testing, containerization, and interacting with REST APIs.

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