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Masters Computer Science Jobs in Arizona (NOW HIRING)

SynergisticIT

Junior Software Engineer

Tucson, AZ

Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT * Highly motivated, self-learner, and technically inquisitive

SmartIPlace

Technical Product Manager[onsite]

Phoenix, AZ · On-site

$165K - $191K/yr

... in Computer Science or equivalent experience * Understanding of Continuous Integration and ... Nice to Have Skills & Experience * MBA * Drives the defined enterprise cloud product vision ...

Deloitte

Patient Services Technical Manager

Tempe, AZ · On-site

$111K - $111K/yr

Bachelor's degree in Computer Science, Healthcare Administration, Life Sciences or related field ... Advanced degree (e.g., MHA, MBA) * Salesforce Health Cloud or Life Sciences Cloud Certification * 4 ...

Deloitte

AI Data Engineer - Manager

Tempe, AZ · On-site

Required : • Bachelor's degree in Computer Science, Statistics, Data Science, Information Systems ... Preferred : • Advanced degrees such as Masters or PhD are preferred • Certifications in AI/ML ...

Apidel Technologies

Enterprise Architect (Hybrid)

Phoenix, AZ · Hybrid

$63 - $82.25/hr

... Computer Science, Information Technology, or related field Education Preferred Masters degree in a related technical or business field Azure Solutions Architect Expert certification TOGAF or ...

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Masters Computer Science information

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$18.4K

$66.4K

$141.3K

How much do masters computer science jobs pay per year?

As of Jun 21, 2026, the average yearly pay for masters computer science in Arizona is $66,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,291.00 and $91,262.00 per year, depending on experience, location, and employer.

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.

Is a CS master's degree worth IT?

A master's degree in computer science can enhance job prospects for roles such as software engineer, data scientist, or systems analyst by providing advanced technical skills and knowledge. It often leads to higher salaries and opportunities for specialized positions, but practical experience and certifications also play a significant role in career advancement.

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 type of job can I get with a masters in computer science?

A master's in computer science qualifies you for roles such as software engineer, data scientist, systems analyst, cybersecurity analyst, and machine learning engineer. These positions often require strong programming skills, knowledge of algorithms, and familiarity with tools like Python, Java, or cloud platforms.

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.

Can I make 200K with a computer science degree?

A computer science degree can lead to roles such as software engineer or data scientist, where salaries of $200,000 or more are achievable, especially with experience, advanced skills, and working in high-paying industries or locations. Senior positions, specialized skills like machine learning, and working at large tech companies often contribute to reaching this salary level.

Which M.Sc. has the highest salary?

Among Master of Science (M.Sc.) degrees, those in Computer Science, Data Science, and Artificial Intelligence tend to have the highest salaries due to high demand for technical skills, programming, and data analysis expertise. Graduates with specializations in machine learning, cybersecurity, or software engineering often command higher starting salaries in the tech industry.
What are the most commonly searched types of Masters Computer Science jobs in Arizona? The most popular types of Masters Computer Science jobs in Arizona are:
What are popular job titles related to Masters Computer Science jobs in Arizona? For Masters Computer Science jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Masters Computer Science jobs in Arizona look for? The top searched job categories for Masters Computer Science jobs in Arizona are:
What cities in Arizona are hiring for Masters Computer Science jobs? Cities in Arizona with the most Masters Computer Science job openings:
Masters Computer Science jobs near you
Infographic showing various Masters Computer Science job openings in Arizona as of June 2026, with employment types broken down into 72% Full Time, 12% Part Time, 2% Temporary, and 14% Contract. Highlights an 91% In-person, 4% Hybrid, and 5% Remote job distribution, with an average salary of $66,415 per year, or $31.9 per hour.
Senior Vice President - Enterprise Data and AI

Senior Vice President - Enterprise Data and AI

SmartRent

Phoenix, AZ • On-site

$178K - $230K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

Who We Are
SmartRent (NYSE: SMRT) is revolutionizing how people live and work with the industry's only end-to-end platform designed for the rental housing industry. By uniting purpose-built software, integrated hardware and full implementation and support in one ecosystem, we help owners and operators simplify operations, cut costs and deliver exceptional resident experiences. Recognized by Deloitte, HousingWire and the PropTech Breakthrough Awards, SmartRent is shaping the future of property technology and redefining what it means to make rental housing smarter.
Job Description
The Senior Vice President, Enterprise Data and AI is responsible for building and scaling a product-grade, enterprise data and AI platform that accelerates business outcomes. This leader sets the vision and drives execution across data engineering, analytics, and AI, partnering closely with Product, Engineering, and Business leaders to embed data and intelligence directly into products, workflows, and decision-making.
This role balances strategic leadership with hands-on technical depth, operating with a strong bias toward delivery, platform reliability, and customer.
Responsibilities
Product-Led Data & AI Strategy
  • Define and own the enterprise data and AI product vision, roadmap, and operating model aligned to company strategy.
  • Treat data platforms, analytics, and AI capabilities as products with clear customers, SLAs, adoption metrics, and ROI.
  • Partner with Product and Engineering leaders to embed analytics, ML, and GenAI into core products and internal platforms.

Data Platforms & Engineering Excellence
  • Lead the design, build, and operation of scalable, cloud-native data platforms, including ingestion, transformation, lakehouse/warehouse, streaming, and BI layers.
  • Establish engineering standards for data quality, reliability, security, performance, and cost efficiency.
  • Drive modernization from legacy systems to modern data architectures, balancing speed, resilience, and technical debt reduction.

Analytics, AI & ML Enablement
  • Enable teams to deliver production-ready analytics, ML, and AI solutions that solve real customer and business problems.
  • Establish pragmatic MLOps / AI operational practices to move from experimentation to repeatable value.
  • Champion responsible, governed use of AI while accelerating adoption across products and teams.

Operating Model, Governance & Delivery
  • Define DataOps / Software Development Life Cycle (SDLC) practices that align with product and engineering delivery models.
  • Implement enterprise data and AI governance (quality, privacy, security, responsible AI) without slowing innovation.
  • Own platform KPIs, including data quality, time-to-value, platform adoption, and cost management.

Leadership & Collaboration
  • Build and lead high-performing teams across data engineering, analytics, and data science.
  • Act as a hands-on leader when needed, unblocking teams, reviewing designs, and accelerating delivery.
  • Drive alignment across Product, Engineering, Security, Legal, and Business stakeholders in a matrixed environment.

Required Qualifications
  • 15 to 20 years of experience across data engineering, analytics, and AI, with senior leadership experience in product- or engineering-led organizations.
  • Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or related field
  • Proven track record building and scaling enterprise data platforms as products in complex environments.
  • Deep understanding of modern data architectures, cloud platforms, and analytics/ML systems.
  • Demonstrated ability to translate business and product needs into shippable, reliable data and AI capabilities.

Preferred Qualifications
  • Masters degree Computer Science, Software Engineering, Computer Engineering, or related field
  • Experience in Property Management or Multi-Family housing industry.
  • Strong executive presence with the ability to influence, prioritize, and drive outcomes across teams.

We Put Our Employees First
We offer a comprehensive and competitive benefits package designed to support your well-being and future. For our US employees, this includes medical, dental, vision, and life insurance with low deductibles and 75-100% employer contributions. We also provide flexible and generous PTO (because we know how important work-life balance is), a competitive 401(k) with employer contributions, paid parental leave, discounted insurance plans for pets and legal services and an employee stock purchase plan to help you invest in your future.
You'll fit right in if you:
  • Do the hard work and go out of your way to deliver excellence
  • Own outcomes and learn from your mistakes
  • Are a collaborative and supportive team player-win or lose, you lift others up
  • Value authenticity, diverse perspectives, and inclusion in the workplace
  • Have a passion for smart tech and the real estate industry

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