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Masters Computer Science Jobs in Massachusetts (NOW HIRING)

Software Engineer III

Waltham, MA · Hybrid

$62 - $83.25/hr

Masters in Computer Science and 2+ years of experience as a Backend Software Engineer with a focus on Java and Node.js or 4+ years of experience and Bachelors in Computer Science. * Experience with ...

Bachelor's required, Masters or PhD degree preferred in Robotics, Computer Science, Computer Engineering, Mechanical Engineering, or related field * Proven impact and expertise in the robotics ...

Masters degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Analytics, Engineering, or a related quantitative field * 3+ years of hands-on experience deploying data science ...

Masters degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Analytics, Engineering, or a related quantitative field * 3+ years of hands-on experience deploying data science ...

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP ...

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP ...

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP ...

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP ...

Showing results 41-60

Masters Computer Science information

See Massachusetts salary details

$20.4K

$73.4K

$156.1K

How much do masters computer science jobs pay per year?

As of Sep 6, 2026, the average yearly pay for masters computer science in Massachusetts is $73,386.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,520.00 and $100,841.00 per year, depending on experience, location, and employer.

What is a masters computer science job?

A Masters Computer Science job typically requires an advanced degree in computer science or a related field, focusing on specialized areas such as artificial intelligence, data science, cybersecurity, or software development. Professionals in these roles apply their expertise in programming, algorithms, and system design to solve complex problems in industries like technology, healthcare, finance, and research. Common job titles include Software Engineer, Data Scientist, Machine Learning Engineer, and Cybersecurity Analyst. These roles often involve designing and optimizing software, analyzing large datasets, improving security measures, or developing innovative computing solutions. A master's degree can provide deeper knowledge, better job prospects, and higher salaries in the computer science field.

What types of projects or responsibilities can I expect when starting a position with a master's degree in computer science?

As a new hire holding a Master's degree in Computer Science, you can expect to work on a variety of challenging projects, such as developing software applications, optimizing algorithms, conducting data analysis, or contributing to research-driven innovation, depending on the specific employer and industry. Your responsibilities might include writing and testing code, collaborating with cross-functional teams, and presenting technical solutions. You may also be involved in system architecture design, troubleshooting technical issues, or implementing new technologies. This role often encourages continuous learning, and you'll have opportunities to expand your expertise while working alongside experienced engineers and project managers.

What are the key skills and qualifications needed to thrive in the masters computer science position, and why are they important?

To succeed with a Master's degree in Computer Science, candidates typically need strong analytical abilities, programming skills in languages such as Python, Java, or C++, and a solid understanding of data structures, algorithms, and software engineering principles. Familiarity with development tools, version control systems like Git, and possibly certifications in areas such as cloud computing or machine learning are commonly valued. Excellent problem-solving, teamwork, and effective communication skills help individuals stand out in both collaborative and independent projects. These competencies enable professionals to develop advanced technological solutions and adapt to rapidly changing industry demands.

What are the most commonly searched types of Masters Computer Science jobs in Massachusetts?

The most popular types of Masters Computer Science jobs in Massachusetts are:

What job categories do people searching Masters Computer Science jobs in Massachusetts look for?

The top searched job categories for Masters Computer Science jobs in Massachusetts are:

What cities in Massachusetts are hiring for Masters Computer Science jobs?

Cities in Massachusetts with the most Masters Computer Science job openings:

Infographic showing various Masters Computer Science job openings in Massachusetts as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 60% In-person, 20% Hybrid, and 20% Remote job distribution, with an average salary of $73,386 per year, or $35.3 per hour.

$62 - $83.25/hr

Full-time

Re-posted 16 days ago


ZoomInfo rating

8.9

Company rating: 8.9 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

38th of 247 rated software companies


Job description

We are looking for a highly skilled Mid level full-stack engineer to join the DAAS team located in Waltham Massachusetts. The ideal candidate is an experienced software engineer having knowledge of complex system design with excellent problem solving skills. DAAS is a nascent initiative and you'll have the opportunity to affect its direction. You'll take the lead in bringing in new ideas, testing and validating them quickly and independently, and incorporating them while socializing them with the team.

What You'll do:

  • Design, develop, and maintain backend systems using Java and Node.js frameworks like NestJS.
  • Build scalable systems using event streaming technologies like Kafka
  • Collaborate with cross-functional teams to understand and implement new features and functionalities for the platform.
  • Refactor and improve existing codebases to enhance performance, scalability, and maintainability.
  • Develop and implement RESTful APIs adhering to best practices and design patterns.
  • Work with cutting-edge cloud technologies.
  • Solving interesting and challenging problems alongside a great team of engineers.
  • Developing new skills as you push your knowledge, and our technology, to new levels.

What you bring:

  • Masters in Computer Science and 2+ years of experience as a Backend Software Engineer with a focus on Java and Node.js or 4+ years of experience and Bachelors in Computer Science.
  • Experience with SQL Server and/or MongoDB - writing efficient queries, designing schemas, and ensuring data security.
  • Familiarity with designing, building, and maintaining RESTful web APIs.
  • Familiarity with software development best practices, including SOLID principles, design patterns, and unit testing.
  • Experience with logging, monitoring, and alerting tools.
  • Exceptional problem-solving skills and the ability to debug complex issues.
  • Passion for developing software and continuous improvement.
  • Strong desire to seek pragmatic, innovative solutions to complex business and technical problems.
  • Excellent interpersonal skills and ability to collaborate with internal teams including customer support, product, and engineering.

Nice to Have:

  • Experience with Kafka or other messaging systems for real-time data processing
  • Demonstrable contributions to open-source projects.
  • Experience with cloud technologies, specifically AWS and GCP, including deploying, monitoring, and scaling applications.
  • Virtualization and orchestration of applications (Docker/Kubernetes/ECS).
  • Experience building microservices architectures.

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