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Entry Level Engineering Jobs in Portland, ME (NOW HIRING)

This entry-level position provides an opportunity to support a variety of environmental consulting ... Collaborate with scientists, engineers, geologists, environmental professionals, and technicians in ...

This entry-level position provides an opportunity to support a variety of environmental consulting ... Collaborate with scientists, engineers, geologists, environmental professionals, and technicians in ...

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This is an entry-level/early-career Regulatory Affairs opportunity supporting the IVDR (In Vitro ... Engineering , or a related field. * Previous experience in Regulatory Affairs, Quality Assurance ...

Our Scarborough, ME laboratory is seeking an entry-level Field Services Technician to join ... programmable instrumentation to collect composite samples of effluent and wastewater, and using ...

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Entry Level Engineering information

See Portland, ME salary details

$31.1K

$72K

$122.4K

How much do entry level engineering jobs pay per year?

As of Sep 12, 2026, the average yearly pay for entry level engineering in Portland, ME is $71,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,400.00 and $81,500.00 per year, depending on experience, location, and employer.

What is an entry level engineer?

Entry level engineering jobs are positions designed for recent graduates or individuals with limited professional experience in the engineering field. These roles typically involve assisting senior engineers with projects, performing basic technical tasks, and gaining hands-on experience in a specific engineering discipline such as civil, mechanical, electrical, or software engineering. Entry level engineers often receive on-the-job training and mentoring to develop their skills and advance their careers. These roles serve as a foundation for future growth and specialization within the engineering industry.

What types of projects and responsibilities can I expect as an entry level engineer?

As an entry-level engineer, you’ll typically begin by supporting more senior engineers on a variety of projects, which may include drafting designs, running simulations, conducting data analysis, or assisting with testing and troubleshooting. Your daily tasks will often involve collaborating with team members, participating in meetings, and learning industry-specific tools and software. Over time, you'll gain more responsibility, such as managing small project components or communicating directly with clients. This role is designed to help you build foundational technical skills while gaining exposure to different aspects of engineering within your organization.

What are the key skills and qualifications needed to thrive as an entry level engineer, and why are they important?

To thrive as an Entry Level Engineer, you need a solid educational background in engineering fundamentals, strong problem-solving abilities, and proficiency in mathematics, usually obtained through a relevant bachelor's degree. Familiarity with technical tools such as CAD software, industry-specific modeling programs, and basic project management systems is typically expected. Effective communication, teamwork, and a willingness to learn are important soft skills that help you integrate into engineering teams and adapt to new challenges. These skills and qualities are vital for ensuring accurate technical work, smooth collaboration, and ongoing professional development in a dynamic engineering environment.

What is the difference between Entry Level Engineering vs Mechanical Engineering?

AspectEntry Level EngineeringMechanical Engineering
Required CredentialsBachelor's degree in engineering or related fieldBachelor's degree in mechanical engineering; often requires licensure for advanced roles
Work EnvironmentInternships, entry-level positions in offices, labs, or manufacturing plantsDesign, analysis, testing in offices, labs, manufacturing facilities
Employer & Industry UsageEngineering firms, manufacturing, construction, technology companiesManufacturing, automotive, aerospace, energy sectors

Entry Level Engineering typically involves foundational engineering tasks with a bachelor's degree, often in various disciplines, and is used across many industries. Mechanical Engineering is a specialized field focusing on design, analysis, and manufacturing of mechanical systems, often requiring specific technical skills and licensure for advanced roles. Both roles share similar work environments but differ in specialization and scope.

How to get hired as an entry-level engineer?

To get hired as an entry-level engineer, candidates should obtain a relevant bachelor's degree in engineering or a related field, develop practical skills through internships or projects, and demonstrate proficiency with industry tools and software. Building a strong resume that highlights technical skills, problem-solving abilities, and teamwork experience increases employment prospects. Certifications such as Engineer-in-Training (EIT) can also enhance job opportunities.

How to get into entry level engineering with no experience?

Entry level engineering positions often require a relevant degree in engineering or a related field. Gaining practical skills through internships, certifications, or personal projects can improve your chances, and demonstrating proficiency with tools like CAD or programming languages can be beneficial for entry-level candidates.

What are the most commonly searched types of Engineering jobs in Portland, ME?

The most popular types of Engineering jobs in Portland, ME are:

What cities near Portland, ME are hiring for Entry Level Engineering jobs?

Cities near Portland, ME with the most Entry Level Engineering job openings:

Infographic showing various Entry Level Engineering job openings in Portland, ME as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, 4% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $71,971 per year, or $34.6 per hour.

Jr. Data Scientist 00021

Westbrook, ME • On-site

West Coast Consulting
IT Services • 51 - 200 employees

$45 - $48/hr

Full-time

Medical, Life

Re-posted 6 days ago


Job description

Job Description Hybrid -Westbrook, ME Job Description: The Machine Intelligence team in R&D is looking for an entry-level Data Scientist to develop machine learning solutions for the hematology analyzers. In this role, you will work on classification and clustering problems on tabular data, with solutions deployed on edge hardware in our analyzer platforms. You will work under the supervision of a senior data scientist who will guide your technical development and project execution.

We are looking for a curious, adaptable team player eager to build foundational skills in applied machine learning. What you can expect: Develop classification and clustering models on tabular data to support hematology analyzer capabilities Contribute to model development, evaluation, and iteration under the guidance of a senior data scientist Partner with senior team members to understand requirements, explore data, and validate model performance Document your work clearly so it can be reviewed, reproduced, and built upon by the team Deploy your solutions to edge hardware What you need to succeed: 0-2 years of experience applying machine learning to real-world problems (internships, research, and coursework projects count) Strong working knowledge of Python and common data science libraries (pandas, scikit-learn, NumPy) Solid foundation in statistics, machine learning, and algorithms Demonstrated understanding of classification and clustering methods for tabular data, including when to apply which approach and how to evaluate results Curiosity about the data and the underlying generating processes - a habit of asking "why" before reaching for a model A growth mindset and willingness to learn from more senior team members Ability to communicate analyses and results clearly to your immediate team Bachelor's degree in a quantitative field (statistics, computer science, math, engineering, or related); advanced degree a plus Nice to have: Exposure to deploying ML models on resource-constrained or edge hardware Familiarity with model optimization techniques (quantization, ONNX, TFLite) Experience with version control (Git) and collaborative software development practices Experience modeling data for medical, diagnostic or life sciences applications