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Junior Data Engineer Jobs in Portland, ME (NOW HIRING)

M-78-Data Architect 144227.

Portland, ME · On-site

$65.25 - $84/hr

Data Architect (Job ID: 144227) Location: Hybrid - Augusta, ME (Onsite once per month; candidates ... Mentor junior developers, providing technical guidance and expertise. Required Skills & Experience:

Under general supervision, assist with collecting, compiling, and analyzing data from physical work ... Work collaboratively with engineers and crossfunctional teams to execute assigned project work ...

Under general supervision, assist with collecting, compiling, and analyzing data from physical work ... Work collaboratively with engineers and cross-functional teams to execute assigned project work ...

Mechanical Engineer

Portland, ME · On-site

$85K - $100K/yr

Our specialized experience includes design for data centers, healthcare, science and technology ... Oversee and provide guidance to junior engineers and designers. * Lead project teams and serve as a ...

Mechanical Engineer

Portland, ME · On-site

$85K - $100K/yr

Our specialized experience includes design for data centers, healthcare, science and technology ... Oversee and provide guidance to junior engineers and designers. * Lead project teams and serve as a ...

Mentor and provide technical guidance to junior engineers and designers.TRAVEL REQUIREMENTSTravel ... management, and data-driven sustainability solutions firms for starters. We offer a generous ...

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Showing results 1-20

Junior Data Engineer information

See Portland, ME salary details

$34.8K

$74.5K

$113.6K

How much do junior data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for junior data engineer in Portland, ME is $74,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,300.00 and $83,000.00 per year, depending on experience, location, and employer.

What is a junior data engineer?

A Junior Data Engineer is an entry-level role focused on building and maintaining data pipelines, supporting data integration, and ensuring efficient data flow within an organization. They work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to help store, process, and analyze data. Junior Data Engineers collaborate with senior engineers and data analysts to optimize data infrastructure and improve performance. They typically have knowledge of SQL, Python, and big data tools like Spark or Hadoop. This role serves as a foundation for advancing into senior data engineering positions.

What are the typical responsibilities of a junior data engineer?

As a Junior Data Engineer, you will likely spend your days assisting with data pipeline development, performing basic data extraction, transformation, and loading (ETL) tasks, and helping maintain and troubleshoot databases. You may also be responsible for supporting data quality checks, writing simple scripts, and documenting your processes to help senior engineers and data analysts. Collaboration is key, as you'll often work closely with team members to understand project requirements and integrate feedback. This role offers the chance to build technical skills on real-world projects while gaining mentorship from experienced engineers.

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

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

What are popular job titles related to Junior Data Engineer jobs in Portland, ME?

For Junior Data Engineer jobs in Portland, ME, the most frequently searched job titles are:

What job categories do people searching Junior Data Engineer jobs in Portland, ME look for?

The top searched job categories for Junior Data Engineer jobs in Portland, ME are:

What cities near Portland, ME are hiring for Junior Data Engineer jobs?

Cities near Portland, ME with the most Junior Data Engineer job openings:

Infographic showing various Junior Data Engineer job openings in Portland, ME as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $74,500 per year, or $35.8 per hour.

Jr. Data Scientist 00021

West Coast Consulting LLC

Westbrook, ME • On-site

Other

Medical, Life

Re-posted 15 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