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Data Processing Jobs in Vermont (NOW HIRING)

CGI

Data Entry Clerk III

Saint Albans, VT · On-site

$22/hr

S. - CGI Federal roles - Visa and Passport By playing this video you consent to Google/YouTube processing your data and using cookies - Learn more. Position Description: CGI Federal is looking for ...

CGI Inc.

Data Entry Clerk III

Saint Albans, VT · On-site

$22/hr

S. - CGI Federal roles - Visa and Passport By playing this video you consent to Google/YouTube processing your data and using cookies - Learn more. Position Description: CGI Federal is looking for ...

Bourne's Energy

Inventory Specialist

Morrisville, VT · On-site

$21 - $26/hr

General office experience, familiarity with accounting procedures, and some bookkeeping and data processing experience is preferred. Other Attributes Required: * Investigative technique, problem ...

Pwc

NGA AI Engineer Senior Manager

Montpelier, VT

$91K - $321K/yr

... Data Processing/Analytics/ Science, Software Engineering, Artificial Intelligence and Robotics preferred - Crafting and conveying clear, impactful messages - Applying systems thinking to identify ...

Pwc

CTIO AI Engineering Manager

Montpelier, VT

$73K - $244K/yr

... Data Processing/Analytics/Science, Computer Science, Software Engineering, Artificial Intelligence and Robotics preferred - Designing, training, and deploying machine learning models - Developing ...

Data Innovations

Support Engineer 1

Colchester, VT · On-site

$40K - $56K/yr

The Data Innovations Support Engineer 1 provides high quality, world class technical support to ... Efficiently escalate issues following department process for rapid resolution. * Provide input on ...

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All JobsData Processing JobsData Processing Jobs in Vermont

Data Processing information

See Vermont salary details

$13

$21

$37

How much do data processing jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for data processing in Vermont is $21.55, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $23.75 per hour, depending on experience, location, and employer.

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

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

What are the typical daily responsibilities of someone working in Data Processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

Is a data processor a good job?

A data processing job involves organizing, inputting, and managing data using tools like spreadsheets and database software. It can offer steady employment and requires attention to detail, but may have repetitive tasks and limited advancement opportunities depending on the organization. Overall, it can be a suitable entry-level role for those interested in data management.

What is a Data Processing job?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

How can I make 2000 a week working from home?

Data processing jobs can pay varying rates depending on experience, complexity, and workload, with some freelancers earning $2000 or more weekly by taking on multiple projects or clients. To reach this income level, strong skills in data entry, analysis, or software tools are essential, along with efficient time management and possibly certification. Building a reliable client base and working consistently are key factors in achieving higher weekly earnings from home.

How much does data processing make?

Data processing jobs typically pay between $35,000 and $70,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while experienced professionals with skills in data management and software tools can earn higher salaries.
What are popular job titles related to Data Processing jobs in Vermont? For Data Processing jobs in Vermont, the most frequently searched job titles are:
What job categories do people searching Data Processing jobs in Vermont look for? The top searched job categories for Data Processing jobs in Vermont are:
Data Processing jobs near you
Infographic showing various Data Processing job openings in Vermont as of June 2026, with employment types broken down into 95% Full Time, 4% Part Time, and 1% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $44,819 per year, or $21.5 per hour.
Data Platform Engineer | Digital Operations

Data Platform Engineer | Digital Operations

BETA Technologies

South Burlington, VT • On-site

$114K - $138K/yr

Full-time

Medical, Dental, Vision

This job post has expired today. Applications are no longer accepted.

Job description

At BETA Technologies, we apply our intellectual curiosity, passion for aviation, and commitment to sustainability toward a shared mission of revolutionizing electric aviation. Regardless of the position one holds, each team member brings their talent and desire to positively impact the environment and lives of others in a refreshing, vibrant, and inclusive culture.
We are seeking a Platform Engineer to join our Data and AI Platform team, bringing strong hands-on engineering skills and a builder's mindset to help design, deploy, and operate the data and knowledge infrastructure that powers our organization. In this role, you will combine software and data engineering fundamentals with practical experience in cloud-native architectures, graph databases, and API design to build robust, scalable production systems that enable rich data discovery, seamless integration, and reliable access across diverse data sources. You will work collaboratively with data scientists, other platform engineers, and domain experts to evaluate, architect, and implement the most appropriate data solutions, and then roll up your sleeves to build, deploy, and maintain them in production. The ideal candidate is a pragmatic, hands-on technologist who thrives on solving real infrastructure and data challenges end-to-end, from initial design through production operations, and who takes pride in building systems that make data more findable, accessible, and reusable across the enterprise.
How you will contribute to revolutionizing electric aviation:
  • Design, build, and operate scalable data platform services and frameworks that empower domain teams to manage their data assets within a cohesive enterprise architecture
  • Implement data integration solutions that create a digital thread connecting information across the entire product lifecycle from design through manufacturing to field operations
  • Build and maintain data storage systems including data lakes, warehouses, and graph databases that make organizational data accessible and ready to power advanced analytics and AI
  • Create and extend enterprise data catalog capabilities that document what data exists across organizational systems, how it is structured, and how it connects, enabling teams across the company to navigate the full data landscape
  • Develop and expose performant data access layers using technologies such as GraphQL and REST APIs, providing intuitive interfaces to complex underlying data
  • Deploy, monitor, and manage production data systems on cloud infrastructure, ensuring high availability, performance, and reliability
  • Implement data quality and lineage solutions that ensure accuracy and traceability across diverse data types; essential for aerospace compliance and establishing a trusted foundation for analytics and AI
  • Build and maintain CI/CD pipelines, infrastructure as code, and automated deployment processes that keep our data platform agile, reproducible, and production-ready
  • Partner with cross-functional teams on DataOps practices and data governance to keep data assets trusted, accessible, and well-managed.
  • 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 building and shipping data or platform infrastructure in production, with ownership of system availability, performance, and incident response
  • Strong software engineering fundamentals including clean code practices, testing, and building maintainable systems
  • Provisioned, configured, and operated cloud-based data services in production (preferably on AWS)
  • Built or maintained systems using graph databases (e.g., Neo4j, Amazon Neptune, Stardog) and designed graph data models
  • Designed and built APIs that other teams or systems depend on, with working knowledge of GraphQL
  • Proficiency with modern data engineering tools and languages (e.g., Python, SQL)
  • Designed and built data pipelines and data models that ingest and transform data from diverse sources to serve multiple consumers or use cases
  • Built and maintained CI/CD pipelines, infrastructure as code, and containerized deployments (e.g. Docker, Kubernetes) for production systems
  • Strong troubleshooting skills with the ability to diagnose and resolve issues across the full stack from infrastructure through application layers
  • Excellent communication skills with the ability to translate technical concepts for diverse audiences

Above and Beyond Qualifications:
  • 5+ years of experience building and operating production data platforms at scale
  • Experience with semantic technologies including knowledge graphs, ontology design, and related standards (e.g., RDF, OWL, SPARQL, SHACL, RML/R2RML)
  • Familiarity with AI-assisted development tools such as agentic coding assistants, gained through practical use
  • Experience with distributed computing frameworks (e.g., Spark) and/or event-driven and streaming architectures (e.g., Kafka, Kinesis)
  • Hands-on experience with metadata management platforms and enterprise data catalogs
  • Implemented data lineage and data quality solutions at scale
  • Experience with monitoring, observability, and alerting for production data systems
  • Experience working in regulated industries or with complex data governance frameworks
  • Familiarity with aerospace or manufacturing data standards and regulations
  • Knowledge of IoT protocols and time-series data management

The wage listed here reflects our best faith estimate for this role. We pay competitively and base compensation on a variety of factors including skills, experience, industry background, and the evolving needs of the role. We remain committed to fair and equitable pay and we're happy to discuss during the interview process.
Compensation
$110,000-$130,000 USD
Build electric airplanes with us!
BETA offers a competitive Total Compensation package designed to support you now and as you grow with us. This role includes both Restricted Stock Units and Performance Stock Units for all full-time team members, so everyone shares in our success. You'll have access to onsite healthcare in Vermont, comprehensive medical coverage, dental and vision, short- and long-term disability, and paid parental leave. We also take care of the everyday details with daily lunch provided, and yes-flight lessons are part of the experience, along with a range of additional perks that make work here genuinely rewarding.
We encourage all driven candidates to apply, even if they do not meet every listed qualification.
We are an equal opportunity employer. Employment decisions are based on merit, competence and qualifications and will not be influenced in any manner on race, color, religion, age, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, disability, veteran or military status, genetic information, pregnancy, or any other protected characteristic under federal, state, or local law. BETA complies with all applicable federal, state and local non-discrimination laws and does not tolerate discrimination of any kind in our workplace.
Employment offers are contingent upon the successful completion of a background check. BETA Technologies participates in E-Verify.

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