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Masters Computer Science Jobs in Long Beach, CA (NOW HIRING)

West Los Angeles, CA (Hybrid) Required Qualifications Bachelors and/or Masters degree in computer science, Computer Engineering or related field preferred. 8+ years of overall software development ...

Embedded Software Engineer

Los Angeles, CA · Hybrid

$48.08 - $67.31/hr

Masters of Science degree in Electrical, Computer, or Communications Engineering, Computer Science. * Knowledge and experience of different security protocols and encryption algorithms such as suite ...

Embedded Software Engineer

Irvine, CA · On-site

$48.08 - $67.31/hr

Masters of Science degree in Electrical, Computer, or Communications Engineering, Computer Science. * Knowledge and experience of different security protocols and encryption algorithms such as suite ...

Bachelor's degree in Computer Science, Data Science, Statistics, Engineering or a related quantitative field required. (Masters in related field preferred) * 5+ years equivalent experience in ...

SharePoint Developer

Los Angeles, CA · On-site

$52.75 - $69/hr

Qualifications Bachelors or Masters in Computer Science or equivalent. Additional Information All your information will be kept confidential according to EEO guidelines.

Masters in Computer Science, Mathematics, Physics, Engineering, Statistics, Operations Research, or other equivalent quantitative fields (PhD preferred) * 8 + years of work experience in Machine ...

Showing results 41-60

Masters Computer Science information

See Long Beach, CA salary details

$19.5K

$70.3K

$149.6K

How much do masters computer science jobs pay per year?

As of Sep 7, 2026, the average yearly pay for masters computer science in Long Beach, CA is $70,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,672.00 and $96,656.00 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 popular job titles related to Masters Computer Science jobs in Long Beach, CA?

For Masters Computer Science jobs in Long Beach, CA, the most frequently searched job titles are:

What job categories do people searching Masters Computer Science jobs in Long Beach, CA look for?

The top searched job categories for Masters Computer Science jobs in Long Beach, CA are:

What cities near Long Beach, CA are hiring for Masters Computer Science jobs?

Cities near Long Beach, CA with the most Masters Computer Science job openings:

Infographic showing various Masters Computer Science job openings in Long Beach, CA as of August 2026, with employment types broken down into 62% Full Time, 34% Part Time, and 4% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $70,341 per year, or $33.8 per hour.

Lead ETL Engineer

AgreeYa Solutions

Los Angeles, CA • On-site

Other

Re-posted 20 days ago


Job description

Hello,

Job Title: Lead ETL Engineer

Location: West Los Angeles, CA (Hybrid)


Required Qualifications

Bachelors and/or Masters degree in computer science, Computer Engineering or related field preferred.

8+ years of overall software development experience is required primarily with Data warehouse applications, with 3+ years in a technical leadership role.

3+ years of hands-on development experience in Cloud-based data warehouse platform (AWS Redshift preferred) and experience with ETL tools (Informatica Cloud preferred).

3+ years of development experience with Python scripting experience.

Strong knowledge and experience in OLAP data modeling & design.

Knowledge of data governance, security, and compliance standards (e.g., SOC 2, PCI DSS).

Demonstrated expertise in performance tuning in various DB environments with large volumes of data.

Familiarity with CI/CD pipelines (e.g., Jenkins, GitHub Actions) and infrastructure-as-code tools.

Expertise in understanding complex business needs, analyzing, designing, and developing solutions.

Communication and professional skills and the ability to navigate relationships across business units.

Preferred Qualifications

Experience in fintech or enterprise data warehouse platforms.

Familiarity with data warehouse operational domains such as partner reporting, compliance analytics, and business intelligence.

Contributions to open-source QA frameworks or technical publications.

Demonstrated leadership in building scalable QA practices, as outlined in internal QA leadership guidance.