Technology careers are changing rapidly as artificial intelligence, machine learning, cybersecurity, cloud computing and data analytics become embedded across industries including finance, healthcare, education, manufacturing and transportation.
A March 2026 career analysis from Pace University identifies 20 technology roles positioned for strong demand, ranging from accessible foundational careers such as Data Analyst and Web Developer to highly specialized positions such as Machine Learning Engineer, Cloud Engineer and Principal Software Engineer.
The university divides the careers into three broad groups:
- Advanced Leadership Roles
- High-Growth Technical Roles
- Solid Foundational Roles
and provides estimated salary ranges for the New York metropolitan area, based on Glassdoor data.
For students, graduates and career changers trying to decide which technology skills to develop, the list highlights a clear trend:
AI, data, cybersecurity, cloud infrastructure and advanced software engineering remain among the strongest areas to watch.
Tech Career Outlook
Pace University notes that technology employment remains relatively strong even after recent industry layoffs and the restructuring caused by artificial intelligence.
The source cites Bureau of Labor Statistics projections showing computer and IT occupations growing by approximately:
11.7% from 2023 to 2033
with around:
317,700 openings each year.
Software developers are highlighted with projected growth of:
17.9%
while database architects are cited at:
10.8%.
Opportunities Feed Assessment
The key takeaway is not simply that “tech jobs are growing.”
The market is becoming increasingly selective.
Employers are looking for workers who combine strong technical ability with:
- Adaptability
- Communication
- Problem-solving
- Business understanding
- Ethical judgment
- Continuous learning
Candidates who depend only on one software tool or one programming language may find it harder to remain competitive as technology changes.
Skills Employers Are Struggling to Find
Pace University identifies several major skill areas employers continue to demand:
- Artificial intelligence
- Data science
- IT operations and support
- Cybersecurity
- Process automation
The article also cites the World Economic Forum in identifying:
AI, big data, networks and cybersecurity
among the fastest-growing technical skill areas.
Human-centered capabilities such as:
- Creative thinking
- Adaptability
- Curiosity
- Lifelong learning
are also becoming increasingly important.
20 In-Demand Technology Careers
1. Principal Software Engineer
Pace-listed salary range: $227,000–$359,000+
Principal Software Engineers operate at a highly senior level and often guide the architecture and technical direction of complex systems.
Responsibilities can include:
- Designing system architecture
- Setting technical standards
- Reviewing major engineering decisions
- Mentoring engineers
- Coordinating technical strategy across teams
Alternative titles include:
- Lead Software Engineer
- Software Architect
Recommended skills include:
- Systems design
- Software architecture
- Advanced programming
- Leadership
Opportunities Feed Assessment
This is not an entry-level position.
Candidates usually build toward principal-level roles through years of progressively advanced software-engineering experience.
The high salary reflects technical depth and leadership responsibility rather than simply knowing how to code.
2. AI Product Manager
Pace-listed salary range: $153,000–$230,000+
AI Product Managers connect artificial-intelligence capabilities with business needs.
They can work with:
- Machine learning engineers
- Data scientists
- Business leaders
- Designers
- Analysts
Responsibilities may include:
- Defining AI product roadmaps
- Prioritizing features
- Coordinating product launches
- Evaluating AI feasibility
- Supporting ethical AI implementation
Recommended skills include:
- AI and machine-learning literacy
- Product strategy
- Data analysis
- Stakeholder communication
Opportunities Feed Insight
This role is important because AI careers are not limited to programming.
Professionals who understand both:
technology + business
can build valuable careers managing AI products even if they are not the engineers training the models.
3. IT Manager
Pace-listed salary range: $105,000–$179,000
IT Managers oversee organizational technology infrastructure while managing teams and budgets.
Common responsibilities include:
- Supervising IT staff
- Managing upgrades
- Overseeing security patches
- Managing technology budgets
- Developing IT policies
- Supporting regulatory compliance
Recommended skills include:
- Leadership
- IT strategy
- Project management
- Budgeting
- Systems oversight
4. Product Manager
Pace-listed salary range: $119,000–$207,000
Product Managers help decide:
what should be built, why it should be built and which features should be prioritized.
They commonly work with:
- Software engineers
- Designers
- Data analysts
- Business teams
Responsibilities include:
- Market research
- User research
- Product prioritization
- Sprint planning
- Performance monitoring
Recommended skills include:
- Agile methods
- Product strategy
- Leadership
- Research
5. Product Designer
Pace-listed salary range: $87,000–$149,000
Product Designers combine:
user experience + interface design
to create functional digital products.
Responsibilities may include:
- User research
- Usability testing
- Wireframes
- Prototypes
- Design systems
- Collaboration with developers
Recommended skills include:
- Figma
- Prototyping
- User research
- Design systems
- Creative thinking
High-Growth Technical Careers
These roles represent some of the fastest-changing and most specialized areas in technology.
6. Machine Learning Engineer
Pace-listed salary range: $133,000–$215,000
Machine Learning Engineers build and deploy AI models into real applications.
Responsibilities include:
- Building machine-learning models
- Training algorithms
- Optimizing model performance
- Deploying models
- Working with software and data teams
Recommended skills include:
- Python
- TensorFlow or PyTorch
- Algorithms
- Data modeling
Opportunities Feed Insight
Machine Learning Engineering differs from simply experimenting with AI tools.
Employers may expect candidates to understand:
- Programming
- Mathematics
- Model training
- Data
- Deployment
- Software engineering
A portfolio containing deployed models can therefore be stronger than completing theoretical courses alone.
7. Data Scientist
Pace-listed salary range: $124,000–$210,000
Data Scientists analyze complex datasets and build models that support business decisions.
Typical responsibilities include:
- Statistical modeling
- Predictive analytics
- Experiments
- A/B testing
- Visualization
- Communicating results
Recommended skills include:
- Statistics
- Machine learning
- Python or R
- SQL
- Data visualization
8. Cybersecurity Engineer
Pace-listed salary range: $130,000–$210,000
Cybersecurity Engineers build defenses against cyber threats.
Responsibilities may include:
- Implementing security controls
- Testing security systems
- Vulnerability assessments
- Penetration testing
- Incident response
- Compliance
Recommended skills include:
- Threat detection
- Penetration testing
- Security compliance
- Incident response
9. DevOps Engineer
Pace-listed salary range: $125,000–$197,000
DevOps Engineers help development and operations teams deliver software efficiently and reliably.
Common responsibilities include:
- Building CI/CD pipelines
- Automating deployment
- Managing infrastructure
- Using containers
- Monitoring applications
- Resolving deployment problems
Recommended skills include:
- CI/CD
- Cloud infrastructure
- Containers
- Automation
- Scripting
10. Cloud Engineer
Pace-listed salary range: $134,000–$221,000
Cloud Engineers build and manage cloud infrastructure.
Responsibilities may include:
- Deploying AWS or Google Cloud environments
- Cloud security
- Compliance
- Backups
- Disaster recovery
- Hybrid-cloud systems
Recommended skills include:
- AWS
- Azure
- Google Cloud Platform
- Kubernetes
- Virtualization
- Automation
Opportunities Feed Assessment
Cloud engineering can offer one of the strongest combinations of:
high demand + technical specialization + strong compensation.
Candidates entering this area may benefit from combining practical projects with recognized cloud certifications.
11. Site Reliability Engineer
Pace-listed salary range: $140,000–$220,000
Site Reliability Engineers combine:
software engineering + IT operations
to keep large systems dependable.
Responsibilities include:
- Monitoring systems
- Automating incident response
- Improving reliability
- Troubleshooting outages
- Defining service-level agreements
Recommended skills include:
- Monitoring
- Automation
- Programming
- Cloud platforms
12. Data Engineer
Pace-listed salary range: $112,000–$187,000
Data Engineers build the pipelines and infrastructure that allow organizations to use large amounts of data.
Responsibilities can include:
- ETL pipelines
- Data architecture
- Storage optimization
- Distributed systems
- Data reliability
Recommended skills include:
- SQL
- ETL
- Python or Scala
- Spark
- Hadoop
Opportunities Feed Insight
Data Engineering can be an excellent career path for people who enjoy building systems more than interpreting business dashboards.
A Data Scientist asks:
“What does this data tell us?”
A Data Engineer often asks:
“How do we reliably collect, transform and deliver this data?”
13. Information Security Analyst
Pace-listed salary range: $113,000–$185,000
Information Security Analysts monitor organizations for threats and respond to incidents.
Responsibilities include:
- Network monitoring
- Incident investigation
- Security-policy enforcement
- Vulnerability scanning
- Security audits
Alternative titles can include:
- SOC Analyst
- Risk Analyst
Recommended skills include:
- Threat monitoring
- IDS/IPS
- Security frameworks
- Compliance
Solid Foundational Tech Roles
Pace University describes these roles as useful entry points for:
- New graduates
- Career changers
- Professionals building toward more advanced technology careers
14. Software Engineer
Pace-listed salary range: $129,000–$210,000 from entry to senior levels
Software Engineers create and maintain applications.
Responsibilities include:
- Programming
- Testing
- Debugging
- Software maintenance
- System documentation
- Team collaboration
Recommended skills include:
- Java
- Python
- Debugging
- Collaboration
15. Web Developer
Pace-listed salary range: $82,000–$143,000
Web Developers create websites and web applications.
Responsibilities may include:
- HTML
- CSS
- JavaScript
- Responsive layouts
- Website testing
- Performance optimization
- Accessibility
- Security
Alternative titles include:
- Front-End Developer
- Back-End Developer
16. Mobile Application Developer
Pace-listed salary range: $113,000–$177,000
Mobile Developers build applications for:
- iOS
- Android
Responsibilities include:
- Building mobile applications
- Testing across devices
- Debugging
- Optimizing performance
- Releasing updates
Recommended skills include:
- Swift
- Kotlin
- Cross-platform development frameworks
17. Data Analyst
Pace-listed salary range: $74,000–$125,000
Data Analysts interpret information and transform it into insights that support decisions.
Responsibilities include:
- Collecting data
- Cleaning data
- Statistical analysis
- Creating reports
- Building dashboards
- Presenting insights
Recommended skills include:
- SQL
- Excel
- Tableau
- Power BI
- Critical thinking
Opportunities Feed Assessment
Data Analyst is one of the strongest foundational careers for candidates who want to enter the broader data profession.
It can potentially lead toward careers such as:
- Business Intelligence
- Analytics Engineering
- Data Science
- Product Analytics
- Business Analytics
depending on skills and experience.
How to Prepare for Data Analyst Roles
Build practical experience using:
Excel + SQL + Power BI/Tableau
and create projects that demonstrate the full analytics process:
data cleaning → analysis → visualization → business recommendation.
18. Business Analyst
Pace-listed salary range: $85,000–$141,000
Business Analysts connect business needs with technology solutions.
Responsibilities include:
- Gathering requirements
- Documenting business processes
- Identifying improvements
- Communicating between business and technical teams
- Supporting project delivery
Recommended skills include:
- Process modeling
- Requirements gathering
- Communication
Opportunities Feed Insight
Business Analysis can be particularly attractive to professionals who enjoy technology but do not want programming to be the central part of their careers.
Strong communication and problem-solving abilities can be just as important as technical knowledge.
19. Network Administrator
Pace-listed salary range: $83,000–$139,000
Network Administrators help keep organizational networks running.
Responsibilities include:
- LAN/WAN configuration
- Troubleshooting
- Firewalls
- VPNs
- Backups
- System maintenance
Recommended skills include:
- Networking protocols
- Troubleshooting
- Firewalls
20. Database Administrator
Pace-listed salary range: $87,000–$148,000
Database Administrators maintain and secure databases.
Responsibilities include:
- Managing permissions
- Performance tuning
- Query optimization
- Backups
- Disaster recovery
- Database security
Recommended skills include:
- SQL
- Database design
- Backup management
- Performance tuning
20 Tech Careers Compared
| Career | Pace-Listed NY Metro Salary Range |
|---|---|
| Principal Software Engineer | $227K–$359K+ |
| AI Product Manager | $153K–$230K+ |
| IT Manager | $105K–$179K |
| Product Manager | $119K–$207K |
| Product Designer | $87K–$149K |
| Machine Learning Engineer | $133K–$215K |
| Data Scientist | $124K–$210K |
| Cybersecurity Engineer | $130K–$210K |
| DevOps Engineer | $125K–$197K |
| Cloud Engineer | $134K–$221K |
| Site Reliability Engineer | $140K–$220K |
| Data Engineer | $112K–$187K |
| Information Security Analyst | $113K–$185K |
| Software Engineer | $129K–$210K |
| Web Developer | $82K–$143K |
| Mobile Application Developer | $113K–$177K |
| Data Analyst | $74K–$125K |
| Business Analyst | $85K–$141K |
| Network Administrator | $83K–$139K |
| Database Administrator | $87K–$148K |
Opportunities Feed Clarification
These are New York Metro salary estimates reported by Pace University using Glassdoor data.
They should not be interpreted as:
- Guaranteed salaries
- National U.S. averages
- Entry-level salaries for every position
- Compensation available at Pace University
Actual pay depends on factors including:
- Location
- Employer
- Experience
- Seniority
- Industry
- Technical specialization
Which Tech Careers Pay the Most?
Based on Pace University’s listed ranges, some of the highest-paying roles include:
Principal Software Engineer — up to $359,000+
AI Product Manager — up to $230,000+
Cloud Engineer — up to $221,000
Site Reliability Engineer — up to $220,000
Machine Learning Engineer — up to $215,000
Opportunities Feed Insight
The highest-paying careers generally require either:
deep technical specialization
or:
significant leadership responsibility.
Candidates should therefore avoid choosing a career based only on the highest salary number.
The strongest long-term choice is usually where:
market demand + personal aptitude + technical ability + willingness to keep learning
overlap.
Which Tech Careers Are Best for Beginners?
Pace places several careers in its foundational category.
Particularly accessible pathways to research include:
- Data Analyst
- Business Analyst
- Web Developer
- Network Administrator
- Database Administrator
- Software Engineer
Opportunities Feed Assessment
“Foundational” does not mean easy.
Even entry-level candidates need to prove practical skills.
For example:
Data Analyst candidates should understand SQL, spreadsheets and visualization.
Web Developers should build functional websites.
Software Engineers should demonstrate programming projects.
Network Administrators need hands-on networking knowledge.
How to Prepare for a Technology Career
Pace University recommends several strategies.
1. Build Practical Technical Skills
Candidates should master the fundamentals required for their chosen career.
Useful approaches include:
- Open-source projects
- Personal coding challenges
- Practical projects
- Online learning
2. Consider Certifications or Advanced Education
Pace highlights credentials from organizations such as:
- AWS
- CompTIA
- CISSP
and advanced education in areas such as:
- Computer Science
- Data Science
- Cybersecurity
Opportunities Feed Clarification
A certification is not a job guarantee.
The strongest candidates usually combine:
credentials + practical experience + demonstrable projects.
3. Build a Professional Network
Pace recommends:
- Attending conferences
- Joining professional associations
- Connecting with alumni
- Following industry developments
Opportunities Feed Advice
Networking should not mean randomly messaging hundreds of people asking for jobs.
A stronger approach is to:
- Follow professionals in your field
- Ask intelligent career questions
- Share projects
- Attend technical events
- Participate in communities
- Build professional relationships gradually
4. Strengthen Soft Skills
Pace highlights:
- Communication
- Teamwork
- Adaptability
- Critical thinking
as essential professional abilities.
Opportunities Feed Insight
As AI handles more routine technical work, the ability to:
understand problems, communicate solutions and make judgments
may become even more important.
5. Get Practical Experience
Pace recommends:
- Internships
- Bootcamps
- Project-based learning
- Research labs
as ways to develop hands-on experience and build a professional portfolio.
Should You Learn AI?
Pace’s analysis strongly suggests that AI knowledge is becoming increasingly important.
However, that does not mean every person needs to become a Machine Learning Engineer.
Opportunities Feed Assessment
AI literacy can be valuable across many careers.
For example:
Data Analysts can learn AI-assisted analytics.
Product Managers can understand AI product capabilities.
Cybersecurity professionals can study AI-driven threats.
Software Engineers can learn AI integration.
Business Analysts can understand how automation changes processes.
The goal should be to understand how AI changes your existing career area rather than simply chasing the word “AI.”
Is Data Science Still Worth Learning?
Pace lists Data Scientist among its high-growth roles with a New York Metro salary range of:
$124,000–$210,000.
However, competition can be substantial.
Opportunities Feed Advice
Candidates should build solid foundations in:
- Statistics
- SQL
- Python or R
- Machine learning
- Visualization
- Business communication
before focusing on advanced AI models.
Is Cybersecurity a Good Career?
Pace identifies both:
Cybersecurity Engineer
and:
Information Security Analyst
among in-demand roles.
The listed salary ranges reach:
$210,000 for Cybersecurity Engineers
and:
$185,000 for Information Security Analysts.
Cybersecurity may appeal particularly to candidates interested in:
- Networks
- Threat detection
- Risk
- Security architecture
- Incident response
Frequently Asked Questions
What are the most in-demand tech jobs?
Pace University highlights careers including software engineering, data science, cloud engineering, cybersecurity, machine learning and AI-related product roles.
Which technology career has the highest listed salary?
In Pace University’s list, Principal Software Engineer has the highest displayed range at $227,000–$359,000+ in the New York Metro salary data.
Are AI careers well paid?
Pace identifies AI and machine-learning skills among high-value technology areas and lists AI Product Manager and Machine Learning Engineer among high-paying roles.
What is the salary for a Data Analyst?
Pace lists a New York Metro range of:
$74,000–$125,000.
What skills should Data Analysts learn?
Pace recommends:
- SQL
- Excel
- Tableau or Power BI
- Critical thinking
What skills do Machine Learning Engineers need?
Pace highlights:
- Python
- TensorFlow or PyTorch
- Algorithms
- Data modeling
What skills do Cloud Engineers need?
Recommended skills include:
- AWS
- Azure
- GCP
- Kubernetes
- Virtualization
- Automation
What are good entry points into technology?
Pace’s foundational category includes software engineering, web development, mobile development, data analysis, business analysis, networking and database administration.
Will AI eliminate technology careers?
The Pace source does not say that.
Instead, it argues that AI is reshaping the market while increasing demand for skilled professionals who can design, implement and manage advanced technologies.
Do you need a degree for every tech career?
The source associates different university degrees with each career but does not establish a universal rule that every employer requires those specific degrees.
Applicants should check individual job requirements.
Are certifications useful?
Pace recommends industry certifications such as AWS, CompTIA and CISSP as one way of demonstrating specialized expertise.
What else matters besides technical ability?
Communication, teamwork, adaptability and critical thinking.
Opportunities Feed Verdict
The technology job market is becoming more specialized rather than disappearing.
Pace University’s 2026 analysis shows opportunities spanning AI, machine learning, data science, cybersecurity, cloud computing, DevOps, software development, analytics and infrastructure, with New York Metro salary estimates ranging from approximately $74,000 for Data Analyst roles at the lower end of the listed range to more than $359,000 for Principal Software Engineers at the top end.
The strongest growth areas appear to center around:
AI + data + cybersecurity + cloud + software infrastructure.
However, students should not ignore foundational careers.
Roles such as Data Analyst, Business Analyst, Software Engineer, Web Developer and Network Administrator can provide practical entry points from which candidates develop deeper specializations.
The most important preparation strategy is to combine:
technical skills + practical projects + internships + credentials where useful + communication and critical-thinking ability.
Pace specifically recommends building technical skills, earning relevant credentials, networking, developing soft skills and gaining practical experience through internships, bootcamps and project-based learning.
For anyone choosing a technology career in 2026 and beyond, the better question is therefore not simply:
“Which tech job pays the most?”
It is:
“Which high-demand technical area can I become genuinely skilled in and continue learning as the market changes?”
That approach is likely to be more sustainable than choosing a career solely because of a headline salary.
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