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Data Engineer Entry Level Jobs in Vermont (NOW HIRING)

The Support Engineer 1 is expected to handle entry level customer calls and cases, escalating complex issues to senior staff or Management. Responsibilities: * Develop working knowledge on Data ...

Entry-Level Water Resources Engineer

Williston, VT · Hybrid

$81K - $111K/yr

We are currently seeking an Entry-Level Water Resources Engineer to join our Water Resources team ... Perform data collection, analysis, and interpretation related to drainage systems, watersheds, and ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Data Engineer Entry Level information

See Vermont salary details

$47.3K

$137.9K

$188.7K

How much do data engineer entry level jobs pay per year?

As of Jun 7, 2026, the average yearly pay for data engineer entry level 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 are some typical projects or tasks that entry-level data engineers work on during their first year?

As an entry-level data engineer, you can expect to work on tasks such as building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of different data sources. You'll often collaborate with data analysts and more senior engineers to ensure data is accurate, accessible, and well-documented. Early projects might include automating data extraction processes, setting up basic ETL (Extract, Transform, Load) workflows, or optimizing database queries. These foundational responsibilities help build the technical and teamwork skills essential for career growth in data engineering.

What are the key skills and qualifications needed to thrive as an Entry Level Data Engineer, and why are they important?

To thrive as an Entry Level Data Engineer, you need foundational knowledge in programming (such as Python or SQL), data structures, and database management, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (like AWS or Azure), and version control systems is typically expected. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with teams and adapt to evolving data needs. These skills ensure accurate data processing, efficient pipeline development, and successful integration within data-driven organizations.

What does a Data Engineer Entry Level do?

An entry-level data engineer is responsible for designing, building, and maintaining systems that allow organizations to collect, store, and analyze large amounts of data. They typically work with databases, data pipelines, and cloud platforms to ensure data is accessible and reliable for analysis. Entry-level data engineers often assist with cleaning and transforming raw data, automating data workflows, and supporting data scientists and analysts. They also learn best practices in data security and performance optimization as they gain experience.

What is the difference between Data Engineer Entry Level vs Data Analyst Entry Level?

AspectData Engineer Entry LevelData Analyst Entry Level
Required CredentialsBachelor's in CS, IT, or related field; some certifications (e.g., Google Cloud, AWS)Bachelor's in Statistics, Math, or related field; certifications like Microsoft Data Analyst
Work EnvironmentFocus on building data pipelines, databases, and infrastructureFocus on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is keyBusiness intelligence, marketing, finance, and consulting firms

While both roles involve working with data, Data Engineer Entry Level focuses on developing and maintaining data infrastructure, whereas Data Analyst Entry Level emphasizes analyzing data to generate insights. Both roles require strong technical skills and are essential in data-driven organizations.

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 Entry Level jobs in Vermont look for? The top searched job categories for Data Engineer Entry Level jobs in Vermont are:
What cities in Vermont are hiring for Data Engineer Entry Level jobs? Cities in Vermont with the most Data Engineer Entry Level job openings:
Support Engineer 1

$40K - $56K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Job description

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 instrument interfacing. The Support Engineer 1 is expected to handle entry level customer calls and cases, escalating complex issues to senior staff or Management.

Responsibilities:

  • Develop working knowledge on Data Innovations’ products and how to troubleshoot the different areas of the products
  • Provide outstanding customer support to Data Innovations’ customers on our software products.
  • Promptly respond to customer requests for support and provide timely resolutions to issues raised.
  • Demonstrate excellent customer service skills while interacting with customers and partners.
  • Assist in developing and maintaining internal work instructions and other internal documentation.
  • Manage multiple customer issues simultaneously.
  • Drive excellence through quality closures of cases.
  • Thoroughly document customer interactions, efforts and resolutions for future use and review.
  • Efficiently escalate issues following department process for rapid resolution.
  • Provide input on ways to continuously improve the customer experience and department processes
  • Participate in rotating shifts to provide after-hours emergency support.
  • Professionally answer incoming calls and route them to appropriate resource(s).
  • Troubleshoot customer escalations regarding product issues and log the incident in to the tracking system.

Requirements

Knowledge, Skills, and Abilities:

  • Excellent customer service skills
  • Ability to communicate and understand technical language
  • Strong interpersonal and communications skills
  • Problem solving capability
  • Collaborative team player
  • Ability to prioritize, manage time effectively and multitask
  • Must comply with and pass initial background check and drug screening, as well as subsequent background checks, drug screenings and vaccine requirements as required by customer contracts
  • Must comply with company vaccination policy
  • Ability to follow DI’s policies and procedures

Physical Requirements/Working Conditions:

While performing duties of this job, the employee is predominately functioning in a sedentary light office position with high frequency of telephone communication, keyboarding, and computer.

Preferred skills and experience:

In addition to the above requirements, the ideal employee/candidate will have experience with the following:

  • LIS (laboratory information system) software exposure

 

Education and/or Experience

Bachelor’s degree or a combination of education and experience where comparable knowledge and skills can be obtained.

Supervision Level

This person reports to a Customer Service Manager.

Compensation and Benefits 
  • Salary Range: $40,000 - $56,600 (Compensation will vary based on skills and experience) 
  • Bonus Eligibility: Full-time, non-sales employees are eligible for DI’s annual bonus plan based on company and individual performance.
  • Benefits: DI offers a competitive benefits package including medical, dental, vision, basic life insurance, paid holidays, paid time off, and a 401(k) matching plan.