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Technical support technician job growth summary. After extensive research, interviews, and analysis, Zippia's data science team found that:
The projected technical support technician job growth rate is 10% from 2018-2028.
About 83,100 new jobs for technical support technicians are projected over the next decade.
Technical support technician salaries have increased 9% for technical support technicians in the last 5 years.
There are over 401,588 technical support technicians currently employed in the United States.
There are 165,677 active technical support technician job openings in the US.
The average technical support technician salary is $40,210.
| Year | # of jobs | % of population |
|---|---|---|
| 2021 | 401,588 | 0.12% |
| 2020 | 489,247 | 0.15% |
| 2019 | 433,563 | 0.13% |
| 2018 | 274,140 | 0.08% |
| 2017 | 265,149 | 0.08% |
| Year | Avg. salary | Hourly rate | % Change |
|---|---|---|---|
| 2025 | $40,210 | $19.33 | +3.4% |
| 2024 | $38,885 | $18.69 | +2.3% |
| 2023 | $38,005 | $18.27 | +1.5% |
| 2022 | $37,431 | $18.00 | +1.7% |
| 2021 | $36,819 | $17.70 | +1.6% |
| Rank | State | Population | # of jobs | Employment/ 1000ppl |
|---|---|---|---|---|
| 1 | District of Columbia | 693,972 | 434 | 63% |
| 2 | Alaska | 739,795 | 309 | 42% |
| 3 | South Dakota | 869,666 | 338 | 39% |
| 4 | North Dakota | 755,393 | 281 | 37% |
| 5 | Delaware | 961,939 | 344 | 36% |
| 6 | Minnesota | 5,576,606 | 1,880 | 34% |
| 7 | Missouri | 6,113,532 | 2,016 | 33% |
| 8 | Maine | 1,335,907 | 440 | 33% |
| 9 | New Mexico | 2,088,070 | 657 | 31% |
| 10 | Colorado | 5,607,154 | 1,699 | 30% |
| 11 | South Carolina | 5,024,369 | 1,504 | 30% |
| 12 | Vermont | 623,657 | 188 | 30% |
| 13 | Arkansas | 3,004,279 | 854 | 28% |
| 14 | Nebraska | 1,920,076 | 547 | 28% |
| 15 | North Carolina | 10,273,419 | 2,708 | 26% |
| 16 | Georgia | 10,429,379 | 2,685 | 26% |
| 17 | Michigan | 9,962,311 | 2,565 | 26% |
| 18 | Nevada | 2,998,039 | 770 | 26% |
| 19 | Massachusetts | 6,859,819 | 1,712 | 25% |
| 20 | Indiana | 6,666,818 | 1,664 | 25% |
| Rank | City | # of jobs | Employment/ 1000ppl | Avg. salary |
|---|---|---|---|---|
| 1 | Saint Charles | 14 | 43% | $41,844 |
| 2 | Plainfield | 14 | 33% | $41,875 |
| 3 | DeKalb | 14 | 32% | $41,443 |
| 4 | Buffalo Grove | 13 | 31% | $42,165 |
| 5 | Downers Grove | 13 | 26% | $42,107 |
| 6 | Tinley Park | 14 | 25% | $42,301 |
| 7 | Pontiac | 13 | 22% | $49,132 |
| 8 | Joliet | 13 | 9% | $41,944 |
| 9 | Naperville | 13 | 9% | $41,985 |
| 10 | Aurora | 13 | 6% | $41,852 |
| 11 | Carmel | 3 | 3% | $46,862 |
| 12 | Orlando | 5 | 2% | $39,528 |
| 13 | Ann Arbor | 3 | 2% | $49,014 |
| 14 | Atlanta | 6 | 1% | $38,798 |
| 15 | Indianapolis | 5 | 1% | $46,654 |
| 16 | Washington | 5 | 1% | $54,718 |
| 17 | Boston | 3 | 0% | $50,931 |
| 18 | San Francisco | 3 | 0% | $53,277 |
| 19 | Albuquerque | 2 | 0% | $38,531 |
Texas A&M University San Antonio
Arizona State University

American University

SUNY Oswego
Lawrence Technological University
University of Nebraska at Omaha

Grand Valley State University
Tiffin University

California State University - Long Beach
Purdue University

Grantham University
Utah Valley University
Dominican University

The University of Texas at Arlington

Governors State University

New York Institute of Technology
Carleton College
Tufts University
University of North Texas

Slippery Rock University
Texas A&M University San Antonio
Computer Information Systems Department
Robert Vinaja Ph.D.: -Ability to work as part of a team.
-Attention to detail.
-Problem-solving and analytical skills.
Robert Vinaja Ph.D.: My personal view is that instead of following the skills that command higher salaries, one should focus on a field that you like and feel at ease with. Instead of following the money, one should follow your heart, and money will eventually follow.
Arizona State University
School of Computing, Informatics, and Decision Systems Engineering
Robert Rucker: Being articulate/communicative is a real positive - being able to write up a coherent report is a big plus.
Robert Rucker: From step 2, knowing a particular technology very well may not match the employer's needs, so there is a real need to articulate principles (the hard part of education). For example:
1. Need to know how to design and implement ( or contribute to) a 'principled' information base (this is a skill my students encounter routinely)
a. Designing an information system requires knowing multiple levels of analysis and synthesis
- I teach the undergrad and graduate levels of database
( I have been teaching' conceptual level modeling --- using Object role modeling ( this is a layer above ER and relational, and has been underappreciated IMO
b. relational level analysis using SQL
implementational level using T-SQL
c. NoSQL using Couchbase and SQL++ and hence the key-value mode of storage
implementation ( SQL + NoSQL seem essential in this world of federated databases !)
d. Of course, there is the underlying substrate of approaching an info task in the first place!
2. For what it's worth, I also teach big data. Again, finding (understanding) and exemplifying the principles underlying the algorithms and data development is crucial.

American University
Anthony Baron: For new graduates, the main skills that stand would definitely include which programming languages (Java, JavaScript, Python, etc.) have been used along with a depth of knowledge, which frameworks and libraries (React, Django, Flask, etc.) were used throughout projects and internships, and showing work experience. Most introductory and required courses will teach programming languages but do not always teach frameworks, which is why I would always recommend people to do personal projects and internships throughout college. Many positions at the entry-level are often very general. However, positions that are looking for specifics will look for certain skills and experience. For example, positions looking more towards web development would be more interested in whether a user used frameworks used to build websites. Showing leadership and trustworthiness is also a helpful skill to stand out via work experience and university clubs.
Anthony Baron: By earning, do you mean financially, career-wise, or most growth? Career-wise, it really depends on what the final goal is. For web developers, learning the programming languages and frameworks for web development would be the way to go. In general, any experience with programming and knowing a little about a lot will be helpful. Having top-level theory knowledge (some but not in-depth) is also very helpful. It will help you better understand what is happening under the hood and determine which methods are more efficient than others. Financially, it really depends on what skills are most in-demand today. Also, getting a Masters opens doors to more job opportunities, and in some companies, allows for a pay increase. However, this is not the case everywhere.

Mario Bkassiny Ph.D.: Young graduates should continuously seek every learning opportunity to enhance their professional skills. With the fast growth of engineering technology, it is important for engineers to remain up to date with the most recent innovations in their fields. The learning process does not stop at graduation, but instead, it extends beyond college to the workplace where engineers can gain expert knowledge in their fields.
Oriehi Destiny Anyaiwe: There is a high possibility that the impact of the coronavirus pandemic will endure but one cannot easily put a time frame to it. This impact will be felt by everyone, not just graduates or computer science graduates in particular. Jobs have been lost, companies are finding it hard to turn a profit and some are needing to close, whereas some others like the tech companies are prospering and doing well. Due to the coronavirus pandemic, the scope and teaching of computer science courses including students' senior projects and research have been coined to groom students to meet unprecedented standards. Thus, I can confidently say that computer science graduates stand at an advantageous position in the post pandemic marketplace; however, there will still be hills to climb so long as the synergy that hitherto existed between the crop of companies suffer.
Oriehi Destiny Anyaiwe: Attitude. Anyone can memorize a programming language and have a perfect syntax, but if you cannot find your way out of a paper bag you do the company no good. In today's marketplace, problems/business are tackled with a collaborative view. Employers will like to hire employees that have the skill set and potential to explain problems/solutions to non experts as well as working amicably with them.
University of Nebraska at Omaha
College of Information Science & Technology
Deepak Khazanchi Ph.D.: I think the "best" and "interesting" jobs in my view will be those that leverage emerging technical skills such as AI/ML, data analytics, cybersecurity and medical informatics, with the nontechnical capabilities mentioned above.

Chirag Parikh Ph.D.: If you ask me, I consider valuable experience over good paycheck. Once you have gained that experience the paycheck will follow. As soon as you are out of college, the knowledge gained is very fresh and raring to go. If put into the right place can enhance your technical skills and you can do wonders.
As a Computer Engineering professor, I would say the job opportunities are tremendous for students out of college as they can venture into hardware field (technical support, hardware engineer, test engineer and much more) as well as software field (software engineer, software developer, software tester and much more). The possibilities are endless.
With COVID and employees working remotely there is still ample opportunity to enhance your technical and interpersonal skills as I believe remote working might stay for a while till things get back to normal.
George Miller: Many organizations realize graduates cannot learn everything in college about their major but want the graduate to have a solid foundation on their field of study. The organization wants to mold the graduate to their company environment with how they do things related to the field of study. Most companies want college graduates to have good communication skills (both oral and written), critical thinking skills and be able to work well in teams. These skills have been a staple for graduates since I can remember. This is why a college graduate takes many general education courses related to these skills and many of their major courses emphasize these skills.
Going back to the previous answer I believe graduates in all fields of study will need a better knowledge of technology and easier adaptability to changing technology. Again, an IS degree is already preparing students for this.

Dr. Lesley Farmer: Many employees have trouble pivoting to online work so in the short term, tech support and instructional design jobs are in high demand. Data privacy and security are also hot topics and need ed tech expertise. Tech maintenance, including cloud services and networks, continue to be needed, rather like car maintenance. Thinking forward, software development is another area of need, particularly with more online-based education. If grads have data analytics expertise, they can find jobs on data management and learning analytics.
Disabilities continue to be an issue, particularly in terms of equity, so jobs dealing with assistive technology and other ed tech supports are possible. Finally, grads should broaden their concept of educational settings; informal education is more important than ever: in business/HR, libraries and museums, recreational and youth-serving clubs, mass media, government and non-profit agencies. All of these entities are involved in training, outreach, PR, and public awareness/education. Be creative and persistent.
Dr. Lesley Farmer: Internships are probably the best option, even if unpaid. Some institutions provide career placement services, and grads could contact their instructors about possible options. Companies, professional associations, and non-profits also advertise internships.
Dr. Lesley Farmer: Get to know the site before interviewing, and remember that even interviews are an opportunity to practice communication skills-and to see if there's a good match between you and the site. Once hired, learn about the organizational culture and develop trustful relationships. Make one memorable contribution the first month, but focus on becoming an expert before changing others. In addition, join a local and national professional association to keep current and network.
Jennifer Richardson Ph.D.: The need for problem-solving abilities and adeptness at technology use for communication and training opportunities. If we've learned anything from 2020 it is that we need to be able to pivot at a moment's notice.

Lisa Sietstra: The job seeker's experiences will stand out when they've described previous accomplishments and shown a potential employer the value they have added in the past. Students/recent graduates (or really any job seeker at all) need to include quantifiable data in their statements; clearly painting a picture of achieved results. Connect the dots for the recruiter or hiring manager and really show that you have the potential to join the team and immediately contribute in positive ways.
Add details about academic projects if you do not yet have work experience in your field. Include a section of highlights from your coursework that applies to what the company is asking for in the job description.
Utah Valley University
Computer Science Department
Curtis Welborn: Not that I can see. The high tech sector and jobs for CS students remains very strong, and as the economy recovers, these areas will continue to grow as they have over the past 40 years.
Curtis Welborn: First, they need a strong fundamental understanding of Computer Science. People think they have to learn language X or environment Y or this thing or that thing because it is hot. Well, the thing to know about Computer Science jobs is there is always some new thing, always some new language better than the last, always something that is hot. Learning the hottest new thing might get you a job today, but it will not keep you a job tomorrow.
Having strong fundamental skills in Computer Science will equip you to learn ANY new thing. A good fundamental education in CS includes knowledge of programming languages, data structures, database, computer architecture, internet programming and networking, incremental design and development, and some advanced topic, which can vary based on a person's interest. Beyond this, everyone should have a basic understanding of math and the ability to write clearly because you always have to write something.
Curtis Welborn: That can really depend upon the company. Some companies want people with a strong background in machine learning right now. But I've met people who shy away from hiring people with too much machine learning on their resume even when the company wants someone to do machine learning because too many of these people only want to, or only can, do machine learning. They don't have a strong fundamental understanding of Computer Science (see No. 2). Our students who complete the Compiler course get jobs, not because companies are building a compiler but because companies know that someone who can build a compiler can most likely do anything they would want done. So people should not focus on finding that thing that makes their resume look good today. Just be great at everything you do. Take hard classes, and excel at them. Learn EVERYTHING you can, and companies will want you.
Kate Marek Ph.D.: Probably an acceleration of existing trends - remote working, skill-set based job openings (rather than degree-specific), along with an ongoing need for necessary skills such as writing, problem-solving, collaboration, and project management.
Kate Marek Ph.D.: Choose an organization in tune with one's values. Look for a job in growth areas, such as data asset management, data analysis, etc.
Kate Marek Ph.D.: If possible, find a paid internship in your area of interest, which will help expand your professional network and build your skillset. Use this time to keep scanning job ads to identify skill sets in demand; look for online mini-courses to make those skill sets.

Dr. Kay-Yut Chen Ph.D.: I would predict an increase in demand for graduates in information sciences and related fields in the next few years. The growth has already been strong before the pandemic, as more and more companies were going through or planning to go through digital transformation to stay competitive. While the epidemic did seriously reduce the prospects and investments of some sectors of the economy (such as mall operators), it helps others. The performance of the stock market seems to indicate that the balance is on the positive.
Also, once a safe and effective vaccine is developed (and we have been receiving positive news lately in that regard), the recovering economy will certainly further stimulate the demand for information science.
Stephen Hyzny: Security, as more people need online services, the protection behind that technology will be needed.
Stephen Hyzny: IoT having small devices connected to networks that control everything in our lives will become more integrated into our lives.
Stephen Hyzny: As everything involves technology, more educated people will need it in the future. As our cars, houses, and lives connect, people will be required to make it all work.

Babak Beheshti Ph.D.: As most economies in the world have moved towards a "gig economy" paradigm, it is essential for graduates beginning their careers to adopt an entrepreneurial and self-guided career mindset. Young professionals would need to take charge of their professional development. This means that they must continually remind themselves that the knowledge learned shelf life is reducing more and more every year. New skills and technologies come into the picture. They must know these new skills on their own to maintain their competitive edge in the job market. Moreover, young professionals must view every position they hold to be an added chapter in their portfolio - every position held should be considered an experiential skill added to the resume.
Babak Beheshti Ph.D.: -The enormous growth of IoT and wearables. The number of connected devices is expected to be more than 26 billion in 2020. That includes things like household appliances, controllable lighting, and much more. This trend is likely to continue as it is expected to see the industry grow to 661 billion dollars by 2021.
-We will be witnessing a more widespread commercial deployment of 5G in 2020. With the implementation of the Standalone 5G devices based on the 3gpp release 16, we should be seeing the more robust mobile broadband deployment of 5G, wider availability of 5G smartphones, and a push towards an all 5G Network in select urban areas around the world.
-Significant growth in AI-based technologies, from face recognition and voice recognition to business intelligence and market predictions. As machines and deep learning algorithms get integrated into many applications, many industries will undergo substantial changes. AI systems will continue to interact with our phones; cars will interpret and analyze their surroundings and intelligently drive themselves. Online vendors will monitor our browsing habits, and Google decides what kind of search results to give us, based on who it thinks we are.
Joshua Davis Ph.D.: Electronic communication has enabled new collaborative projects in academic math, sometimes involving tens of mathematicians, spontaneously organizing around new problems. In industrial math, computers' ever-increasing power is getting more and more math turned into practical technology. Many of today's biggest buzzwords --- machine learning, self-driving cars, etc. --- are based on sophisticated math and statistics. I expect that math will only grow in importance as these technologies become more prevalent in society.
Joshua Davis Ph.D.: Math is arguably the highest of high-tech, in the sense that it leads to other high-tech fields. For example, differential geometry and complex analysis were developed in the early 1800s; they became central to the language of physics in the early 1900s; those physics led to consumer products such as GPS and electronics in the present day. So it's unsurprising that companies in technology centers with research and development divisions often employ mathematicians. But I also have friends in the financial industry, the video game industry, the federal government, etc.
Joshua Davis Ph.D.: Studying mathematics is good practice for rigorous thinking and problem solving, which are valued across the workforce. For science and engineering applications, it is often also helpful to have R, Python, Matlab, or another popular programming language. But technical abilities get the graduate-only so far. They need interpersonal communication skills so that they can understand the needs of stakeholders and cooperate with colleagues. For this reason, many faculty at my school emphasize writing, speaking, listening, and teamwork skills.
Ming Chow: -Need to hit the ground running as many employees and companies don't have the time, energy, and training infrastructure.
-The soft skills, including communications, how to deal with change and the basics are becoming more critical-things like using a calendar, following-up, etc.
Ming Chow: Infrastructure, including cloud and networking, Security, Machine Learning, and Data Science.
References:
1. cybersecurity
2. cybersecurity
Ming Chow: On the one hand, there are many opportunities in tech currently. On the other hand, new college hires will be competing with crowds of people with real experience who were laid off during COVID. Five years is too far ahead to predict.
Mark Albert Ph.D.: Projects. For resumes, it needs to be beyond a standard course final project. This can include a capstone team effort, a consistent theme among course projects, or engaging with faculty as a part of multi-year research pursuits. Also, we encourage our students to engage in the local community and seek internships to validate further their ability to work as part of a team.
Mark Albert Ph.D.: AI is impacting everything we do, and the Biomedical Engineering program is integrating both human-based decision making and moral, well-validated, artificial intelligence into research and development. We also engage students in the MS in AI program and Data Engineering, both of which have Biomedical Engineering concentrations as part of the course sequence.
Mark Albert Ph.D.: They are now better at working remotely than ever before! It sure did accelerate the transition. Interestingly, our students are now more engaged beyond our academic borders than before, given remote collaboration capabilities.

Slippery Rock University
Department of Information Systems
Abdou Karim Jallow Ph.D.: It is obvious that the COVID-19 pandemic has impacted and transformed the lives of many people, including students all over the world. A major effect is requiring students to stay and learn from home because of the closure of educational institutions as a precautionary measure. Missing saying the traditional goodbye to friends, fraternities, and sororities, and having to watch commencement ceremonies in bedrooms online will leave an indelible mark in graduates.
This means a great U-shift in memories of college life, including physical interaction and learning environment, and systems adopting a new way of doing things. Graduates will enter the job market with uncertainties of availability of traditional jobs and how to work in a new normal. Many graduates will find themselves having to search for jobs virtually and having to start working remotely from the beginning in most cases and in most industries. What would have been a new beginning, along with the excitement of stepping through the doors of the new office and career, will not be there physically. This will have an impact on these graduates because of the transformation of society as a result of the pandemic.
Abdou Karim Jallow Ph.D.: The trend we have witnessed in the past two decades in terms of development in technology is unprecedented. This has a ripple effect on the field of information sciences and systems. Most traditional jobs have changed or rebranded. For example, consider how information and data processing and management (IDPM) has revolutionized into what is today information management or management information systems; business intelligence is almost transformed into business analytics, data science; high-performance computing, and grid computing is today predominantly engulfed by cloud computing services.
These are changing how data and information are managed. The decision-making process is changing in various information and knowledge-intensive and process-oriented industries such as healthcare, banking, transportation, engineering, education, security, just to name a few, despite the fact that roles and services still remain. New and emerging disciplines and services are added, driven by the advancement and greater capabilities of technology. Without a doubt, in the next few years, data and information services will be revolutionized by technology hugely. Consider the development in artificial intelligence, data science, blockchain, 5G, and broadband networks, all of which have huge potential to impact the discipline. This means that information sciences and information systems courses must adapt to take into consideration the emerging skills required by the professionals and businesses of the future. The education and training of professionals in this domain have to be continuously changing to prepare graduates adequately.
Abdou Karim Jallow Ph.D.: Sometimes new graduates from college can find it hard to get the perfect or preferred job location. This may be different for those with information sciences or information systems and related degrees. Luckily there are big companies, multinational companies as well as some-sized enterprises who need skills in that discipline. Most of these can be found in some of the big cities beyond Silicon Valley such as NY, San Francisco, Seattle, Los Angeles, Pittsburgh, Atlanta, Denver, Colorado, Philadelphia, Chicago, DC, Charlotte, Houston, Boston, Dallas, and Minneapolis, just to name a few.
Some of these locations are where some of the big tech companies reside, such as Google, Microsoft, Apple, Amazon, Facebook, Twitter, IBM, HP, SAP, etc. The advantage of this degree is that graduates not only can work for tech companies but any company because of the need to manage data, information, process, and technology. Companies all over have or are putting together strategies to harness the potential of big data, and graduates with information sciences, information systems, and related degrees are sought after continuously.