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Computer Science Jobs in Portland, ME (NOW HIRING)

Danaher

Software Automation Internships

Portland, ME · On-site

Students graduating in 2025 or later, currently pursuing a Bachelor's degree in Chemical Engineering, Electrical Engineering, Computer Science, or another hard science Preference for students who ...

Danaher

Software Automation Internships

Biddeford, ME · On-site

Students graduating in 2025 or later, currently pursuing a Bachelor's degree in Chemical Engineering, Electrical Engineering, Computer Science, or another hard science Preference for students who ...

Danaher

Software Automation Internships

Auburn, ME · On-site

Students graduating in 2025 or later, currently pursuing a Bachelor's degree in Chemical Engineering, Electrical Engineering, Computer Science, or another hard science Preference for students who ...

Danaher

Software Engineer Internships

Portland, ME · On-site

Students graduating in 2025 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Danaher

Software Engineer Internships

Biddeford, ME · On-site

Students graduating in 2025 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Danaher

Software Engineer Internships

Auburn, ME · On-site

Students graduating in 2025 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Cheez

Product Manager @ Social app startup

Auburn, ME · On-site

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not required) * Strong product instincts & passion for social media, technology, and staying current with ...

Cheez

Product Manager @ Social app startup

Portland, ME · On-site

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not required) * Strong product instincts & passion for social media, technology, and staying current with ...

Danaher

Digital Analyst Internships

Auburn, ME · On-site

$106K - $125K/yr

Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a related field * Familiarity with data analysis platforms and tools, comfortable extracting and ...

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All JobsComputer Science JobsComputer Science Jobs in Portland, ME

Computer Science information

See Portland, ME salary details

$58.6K

$86.2K

$101.7K

How much do computer science jobs pay per year?

As of Jul 11, 2026, the average yearly pay for computer science in Portland, ME is $86,235.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,400.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Computer Science vs Software Developer?

AspectComputer ScienceSoftware Developer
Required CredentialsBachelor's or higher in CS or related fieldBachelor's in CS, Software Engineering, or related field often preferred
Work EnvironmentResearch labs, academia, tech companies, startupsTech companies, software firms, freelance projects
Industry UsageAcademic research, algorithm development, theoretical workBuilding, coding, testing software applications
Common Search/ComparisonFocuses on theoretical foundations and algorithmsFocuses on practical software creation and deployment

Computer Science and Software Developer roles often overlap, but Computer Science emphasizes theoretical foundations, algorithms, and research, while Software Developers focus on designing, coding, and maintaining software applications. Both roles require programming skills, but their primary focus and work environments differ.

What is computer science?

Computer science is the study of computers, computational systems, and how they process information. It covers a wide range of topics, including programming, algorithms, data structures, artificial intelligence, and software engineering. Computer scientists design and analyze software and hardware to solve problems and improve technology. The field is essential in many industries, from finance and healthcare to entertainment and research.

What Are Computer Science Jobs?

The computer science field provides a wide range of opportunities for technically talented individuals. Depending on your skills and interests, you can find computer science jobs as a software developer, hardware engineer, database administrator, computer systems analyst, network architect, information security analyst, or web developer. You need an analytical mind and strong technical skills to perform your job duties, which may be to develop, maintain, and troubleshoot computer systems, applications, or networks. Your responsibilities in a computer science job are often directly related to the business goals and outcomes of your employer.

What are the key skills and qualifications needed to thrive in a Computer Science role, and why are they important?

To thrive in a Computer Science role, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Familiarity with languages like Python, Java, C++, version control systems such as Git, and software development methodologies is often required. Analytical thinking, attention to detail, and effective teamwork are valuable soft skills that set candidates apart. These skills ensure you can design efficient solutions, collaborate on complex projects, and adapt to rapidly evolving technologies.

What are some common challenges computer science professionals face when working on collaborative software projects?

Computer science professionals often encounter challenges such as coordinating with team members across different disciplines, managing version control in shared codebases, and ensuring clear communication of technical concepts to non-technical stakeholders. Navigating conflicting priorities and integrating diverse components can also be demanding, especially in agile environments with tight deadlines. Strong collaboration skills, openness to feedback, and familiarity with team tools like Git and project management platforms can help address these challenges effectively.
More about Computer Science jobs
What are the most commonly searched types of Computer Science jobs in Portland, ME? The most popular types of Computer Science jobs in Portland, ME are:
What are popular job titles related to Computer Science jobs in Portland, ME? For Computer Science jobs in Portland, ME, the most frequently searched job titles are:
What job categories do people searching Computer Science jobs in Portland, ME look for? The top searched job categories for Computer Science jobs in Portland, ME are:
What cities near Portland, ME are hiring for Computer Science jobs? Cities near Portland, ME with the most Computer Science job openings:
Computer Science jobs near you
Staff Software Engineer | Semantic Data Lake

Staff Software Engineer | Semantic Data Lake

WEX, Inc.

Portland, ME • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

WEX Inc. rating

7.3

Company rating: 7.3 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

14th of 20 rated payment service providers

Job description

This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; San Francisco Bay Area, CA; and Seattle/WA.
About the Team/Role
WEX is reimagining its enterprise data platform with a powerful goal: transforming raw data into semantically meaningful, reusable, and trusted business assets. As a Staff Software Engineer on the Semantic Data Lake Team, you'll play a critical role in designing, building, and maintaining our core 360 data objects-such as Customer360, Fleet360, and Provider360.
These wide, entity-based tables are foundational to our analytics, AI, and product platforms. You'll implement rich transformation logic, encode business rules, and ensure data consistency across domains, making our data models both technically scalable and business-ready.
This team is at the heart of WEX's DaaS platform-bridging raw data with meaningful business insights. You'll help define and deliver the semantic backbone of our products, analytics, and machine learning systems.
We're looking for an AI-native engineer: someone who builds with modern AI coding tools (Claude, Copilot, Cursor, and similar) and Spec-Driven Development (SDD) as a core part of their daily workflow, not an occasional add-on. You'll use these tools to accelerate design, generate and refactor transformation logic, write tests, document semantics, and explore data-while applying the engineering judgment needed to ship production-grade, trustworthy data assets.
If you're excited about building semantic models that carry real-world meaning, scale to billions of records, and unify how a business understands its world-and doing it with the leverage of modern AI tooling-this is your next big move.
How you'll make an impact
  • Design and implement semantically consistent, scalable 360 data models that integrate data across domains.
  • Build and maintain transformation pipelines that apply cleansing, standardization, enrichment, and derived logic to domain datasets.
  • Write production-quality, testable code in SQL and Python (or equivalent)-delivering performant and maintainable data assets.
  • Leverage AI coding assistants (Claude, Copilot, Cursor, and similar) to accelerate development-drafting transformation logic, generating tests, refactoring pipelines, exploring datasets, and producing semantic documentation-while critically reviewing AI output for correctness, performance, and alignment with business rules.
  • Develop and share patterns, prompts, and workflows that help the team get more leverage out of AI tooling, raising the bar for AI-native engineering practices across the Semantic Data Team.
  • Work closely with domain experts, data scientists, and product stakeholders to translate business concepts into interpretable, decision-ready data models.
  • Implement logic for classifications, KPIs, scoring algorithms, and business rules, ensuring traceability and data lineage.
  • Help define and enforce standards for data modeling, documentation, and governance within the semantic layer-including standards for responsible, auditable use of AI-generated code and artifacts.
  • Collaborate across teams to integrate with ingestion, MDM, and data product layers, and explore opportunities to expose 360 objects to LLM-powered and agentic applications.

Experience you'll bring
  • 8+ years of experience in data engineering or software engineering with a focus on data transformation, modeling, or analytics platforms.
  • Strong proficiency in SQL and at least one general-purpose language such as Python or Scala.
  • Demonstrated experience as an AI-native engineer-using tools like Claude, GitHub Copilot, Cursor, or similar as part of your everyday development workflow, with a clear point of view on where they accelerate your work and where human judgment is essential.
  • Comfort with modern AI engineering practices such as prompt design, context engineering, Spec-Driven Development (SDD), AI-assisted code review, and integrating LLMs or AI agents into engineering or data workflows.
  • Experience building and scaling wide, entity-based tables and modeling domain concepts (e.g., customer, fleet, provider) into durable data objects.
  • Solid understanding of data quality practices-including validation, enrichment, schema enforcement, and business rule encoding.
  • Experience working with large-scale datasets and optimizing transformation pipelines for performance and maintainability.
  • Comfort operating in a collaborative, cross-functional environment, balancing business logic with platform scalability.
  • A mindset for traceability, reproducibility, and semantic clarity-you build data models others (humans and AI systems alike) can trust and reuse.

Bachelor's degree in Computer Science, Software Engineering, or related field. A Master's or PhD in Data Science, Machine Learning, Artificial Intelligence, Computer Science, or Statistics is a big plus.
The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.
Pay Range: $140,600.00 - $173,100.00

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