Not sure which tech job fits you? Take the free quiz
This short quiz zeroes in on your interests and strengths, motivations, and potential timeline to identify the best career options for you in the tech industry. The best part is you don’t have to know the ins and outs of web development or what the work environment is like in tech to take this quiz. It’s truly for anyone who wants to get a tech job — no experience required.
Answer the questions without overthinking. For this, your first reaction is the right one; following your instincts in your responses will direct you to the career for you.
Analyze your results. They’re generated by our algorithm that digests your answers and matches your personality to the path it believes is best for you based on our experience in the tech space and the results of others who’ve made the transition before you.
Take your results and make plans for what comes next. Check out the blog for deep dives into different subjects or book a free career consultation with one of our experts to learn more about how we can help you achieve the career you’re aspiring to.
Choosing the right career path can be both exciting and challenging. If you're searching for clarity and direction in your professional journey, this career quiz is here to help.
Well, your tech quiz result will totally depend on your interests! You’ll receive a suggested career track in tech, average salaries, and even a potential job title for inspiration. This is your first step to learn which tech job is right for you.
Are you the world’s next software engineer? Data scientist? QA engineer? After you take the career quiz, hear from our students about how they transitioned from their previous career into their dream career in tech. Or if you want to learn more about our programs and how we can help you meet your career goals, check in with one of our career advisors.
Figure out your personality and work style. Research your role matches by reading up on what the actual day-to-day looks like. Message three people on LinkedIn who do those jobs at companies where you’d like to work. Test out the learning path with free intro courses on YouTube. Then decide on whether you’ll keep going with a bootcamp, self-study, or a degree based on your timeline and budget.
The tech industry wants specialized people who learn fast. Your specific skills and personality fit certain roles better than others. Use that and don't just chase whatever's trending or pays the most this year. The right tech job for you exists; you just need to figure out which one it actually is.
We’ve seen it enough and will say it now: picking a tech career without understanding what you're actually good at is a recipe for hating your job. Right now there are over seven million tech jobs open in the US, and unemployment in tech sits at 2.9%, far below the national average of 4%. Salaries are good, too, but they can range wildly. Software engineers pull in around $132,000, while AI engineers can make anywhere from $120,000 to $180,000. The question isn't whether well-paid jobs exist. They do. The task is to find the one that fits you.
How you work matters more than people admit. Some frameworks like Myers-Briggs and Holland Code can point you in useful directions, and research backs that matching personality to role can improve performance.
Take the classic introverted analytical types (INTJ/INTP if you care about the labels). They tend to crush it in software engineering, data science, and cyber security: anything needing deep focus and complex problem-solving. These are the people who genuinely enjoy spending hours alone untangling algorithms. On the flip side, extroverted types (ENTJ/ENTP) usually do better in product management, IT consulting, or solutions architecture, places where their sociability is an asset for them.
Here's what to actually do: Think about whether you'd rather work alone or constantly interact with others. If you like independent work, look at software engineering, data analysis, or DevOps. If you get energy from team collaboration, project management and technical consulting might fit better. This isn't about what sounds impressive; it's about what you can sustain for years.
The market in 2025 is obsessed with AI skills. About 26% of tech job postings want AI experience now, and companies pay a 17.7% premium for it. Cyber security, cloud computing, and data engineering are also huge. The U.S. Bureau of Labor Statistics says software developer jobs will grow 16% by 2034, over five times faster than the projection economy-wide. Increased demand means increased pay.
Here's what different roles actually pay in the US and their growth (pay data sourced from Glassdoor as of the time of this writing):
Detail-oriented and good with puzzles? Back-end or data engineering might be right for you. Creative and user-focused? Front-end or UX gives you the impact and tools you want. Strategic thinker who thinks wiih systems? Cloud architecture or AI engineering will benefit from your perspective.
Tech needs both hard and soft skills. In 2025, employers started caring more about soft skills; capabilities such as trustworthiness and operational efficiency are up 200% in job postings. That said, you still need the technical know-how.
For software development:
For data work:
For infrastructure:
Choosing the right profession as a tech newbie might be daunting, but our quiz can help. Learn how your existing skills, interests, strengths, and experiences easily transfer to tech. For more detailed information on different types of software engineers and programmers, check out our comprehensive guide here.
If you’re looking for a well-paying tech career, you have a lot of options. For example, data scientists make $157,000 a year on average in the United States and software engineers have an average salary of $137,000. Other tech jobs that pay well include web developers and full-stack engineers.
First things first, you need to choose which profession to get into. If you need help with this, our career quiz can be a great way to get some insights. Once you know what you want to do, it’s time to get studying. TripleTen is a great way to start a new career in tech, so book a call with one of our admissions advisors to find out more! For detailed guides on specific professions, check out how to become a software engineer, data analyst, business intelligence analyst, data scientist, or QA engineer.
To know which to choose between software development or data science, reflect: software development fits people who like building tangible products and working with users. Data science fits people who love finding patterns and explaining what they mean. Test both with intro courses in each to see which one feels natural.
The choice of going with front-end or back-end first depends on what will keep you motivated. Front-end gives you visual feedback fast, which feels good if you're creative. Back-end goes deeper technically, and introverts who think in systems usually prefer it. Importantly, while you can stop with just one of these specializations, it’s good to have an understanding of the other side of things.
With bootcamp training plus a few years of entry-level experience, you can hit $100K in specialized fields like DevOps, back-end, or data science by year two or three. Front-end and full-stack usually take three to four years. AI/ML will get you there faster. Don’t forget: location matters a ton, too. In fact, Glassdoor estimates an entry-level software engineer in San Francisco to have a pay range starting at $125,000. In Sioux Falls, South Dakota, that estimate starts at $76,000.
You can’t choose salary over passion. You need both or you'll burn out. Entry-level tech pays decently regardless, but 59% of tech workers feel underpaid despite high salaries, which suggests a lot of people are in the wrong roles. Pick something you're genuinely interested in that also pays well; AI, back-end, DevOps, and cyber security all have high paychecks.
You can absolutely switch tech careers later. Data scientists move to AI/ML engineering by learning Docker and Kubernetes. Front-end devs add back-end skills and become full-stack developers. Choose your first role for foundational skills such Python, cloud basics, and databases, i.e., know-how that transfers across specializations.
The soft skills that actually matter include communication, problem-solving, and learning fast. You won't advance on code alone. Senior roles need stakeholder communication, documentation, and mentoring. Problem-solving also beats raw coding speed in interviews. Learning agility matters as well since AI keeps changing everything. If you’re just starting out, you can practice these skills through side projects, open source contributions, or by taking on technical writing.
The choice between going with a bootcamp or a degree depends on your priorities. Bootcamps get you working faster if you're disciplined, as employers hire bootcamp grads for junior roles now. Degrees give you deeper theoretical fundamentals, potentially wider networks, and might better position you for specialized roles. In essence: choose a bootcamp if you need a job soon, a degree if you want something more theoretical (or want to start a leadership path).
When it comes to finding a new career, it’s not enough to just find a new job. You want to find the right job. And if you’re transitioning into tech with no tech experience, how do you know which tech career is right for you?
Whether you’re a lineman, a graphic designer, or a teacher, you can find a job in tech. In fact, whether you know it or not, you’ve actually got some of the most in-demand skills needed to have a successful tech career. But not sure what those are? Don’t worry. We’ll help you match those skills to your new dream career.
This short quiz zeroes in on your interests and strengths, motivations, and potential timeline to identify the best career options for you in the tech industry. The best part is you don’t have to know the ins and outs of web development or what the work environment is like in tech to take this quiz. It’s truly for anyone who wants to get a tech job — no experience required.
Answer the questions without overthinking. For this, your first reaction is the right one; following your instincts in your responses will direct you to the career for you.
Analyze your results. They’re generated by our algorithm that digests your answers and matches your personality to the path it believes is best for you based on our experience in the tech space and the results of others who’ve made the transition before you.
Take your results and make plans for what comes next. Check out the blog for deep dives into different subjects or book a free career consultation with one of our experts to learn more about how we can help you achieve the career you’re aspiring to.
Choosing the right career path can be both exciting and challenging. If you're searching for clarity and direction in your professional journey, this career quiz is here to help.
Well, your tech quiz result will totally depend on your interests! You’ll receive a suggested career track in tech, average salaries, and even a potential job title for inspiration. This is your first step to learn which tech job is right for you.
Are you the world’s next software engineer? Data scientist? QA engineer? After you take the career quiz, hear from our students about how they transitioned from their previous career into their dream career in tech. Or if you want to learn more about our programs and how we can help you meet your career goals, check in with one of our career advisors.
Figure out your personality and work style. Research your role matches by reading up on what the actual day-to-day looks like. Message three people on LinkedIn who do those jobs at companies where you’d like to work. Test out the learning path with free intro courses on YouTube. Then decide on whether you’ll keep going with a bootcamp, self-study, or a degree based on your timeline and budget.
The tech industry wants specialized people who learn fast. Your specific skills and personality fit certain roles better than others. Use that and don't just chase whatever's trending or pays the most this year. The right tech job for you exists; you just need to figure out which one it actually is.
We’ve seen it enough and will say it now: picking a tech career without understanding what you're actually good at is a recipe for hating your job. Right now there are over seven million tech jobs open in the US, and unemployment in tech sits at 2.9%, far below the national average of 4%. Salaries are good, too, but they can range wildly. Software engineers pull in around $132,000, while AI engineers can make anywhere from $120,000 to $180,000. The question isn't whether well-paid jobs exist. They do. The task is to find the one that fits you.
How you work matters more than people admit. Some frameworks like Myers-Briggs and Holland Code can point you in useful directions, and research backs that matching personality to role can improve performance.
Take the classic introverted analytical types (INTJ/INTP if you care about the labels). They tend to crush it in software engineering, data science, and cyber security: anything needing deep focus and complex problem-solving. These are the people who genuinely enjoy spending hours alone untangling algorithms. On the flip side, extroverted types (ENTJ/ENTP) usually do better in product management, IT consulting, or solutions architecture, places where their sociability is an asset for them.
Here's what to actually do: Think about whether you'd rather work alone or constantly interact with others. If you like independent work, look at software engineering, data analysis, or DevOps. If you get energy from team collaboration, project management and technical consulting might fit better. This isn't about what sounds impressive; it's about what you can sustain for years.
The market in 2025 is obsessed with AI skills. About 26% of tech job postings want AI experience now, and companies pay a 17.7% premium for it. Cyber security, cloud computing, and data engineering are also huge. The U.S. Bureau of Labor Statistics says software developer jobs will grow 16% by 2034, over five times faster than the projection economy-wide. Increased demand means increased pay.
Here's what different roles actually pay in the US and their growth (pay data sourced from Glassdoor as of the time of this writing):
Detail-oriented and good with puzzles? Back-end or data engineering might be right for you. Creative and user-focused? Front-end or UX gives you the impact and tools you want. Strategic thinker who thinks wiih systems? Cloud architecture or AI engineering will benefit from your perspective.
Tech needs both hard and soft skills. In 2025, employers started caring more about soft skills; capabilities such as trustworthiness and operational efficiency are up 200% in job postings. That said, you still need the technical know-how.
For software development:
For data work:
For infrastructure:
Choosing the right profession as a tech newbie might be daunting, but our quiz can help. Learn how your existing skills, interests, strengths, and experiences easily transfer to tech. For more detailed information on different types of software engineers and programmers, check out our comprehensive guide here.
If you’re looking for a well-paying tech career, you have a lot of options. For example, data scientists make $157,000 a year on average in the United States and software engineers have an average salary of $137,000. Other tech jobs that pay well include web developers and full-stack engineers.
First things first, you need to choose which profession to get into. If you need help with this, our career quiz can be a great way to get some insights. Once you know what you want to do, it’s time to get studying. TripleTen is a great way to start a new career in tech, so book a call with one of our admissions advisors to find out more! For detailed guides on specific professions, check out how to become a software engineer, data analyst, business intelligence analyst, data scientist, or QA engineer.
To know which to choose between software development or data science, reflect: software development fits people who like building tangible products and working with users. Data science fits people who love finding patterns and explaining what they mean. Test both with intro courses in each to see which one feels natural.
The choice of going with front-end or back-end first depends on what will keep you motivated. Front-end gives you visual feedback fast, which feels good if you're creative. Back-end goes deeper technically, and introverts who think in systems usually prefer it. Importantly, while you can stop with just one of these specializations, it’s good to have an understanding of the other side of things.
With bootcamp training plus a few years of entry-level experience, you can hit $100K in specialized fields like DevOps, back-end, or data science by year two or three. Front-end and full-stack usually take three to four years. AI/ML will get you there faster. Don’t forget: location matters a ton, too. In fact, Glassdoor estimates an entry-level software engineer in San Francisco to have a pay range starting at $125,000. In Sioux Falls, South Dakota, that estimate starts at $76,000.
You can’t choose salary over passion. You need both or you'll burn out. Entry-level tech pays decently regardless, but 59% of tech workers feel underpaid despite high salaries, which suggests a lot of people are in the wrong roles. Pick something you're genuinely interested in that also pays well; AI, back-end, DevOps, and cyber security all have high paychecks.
You can absolutely switch tech careers later. Data scientists move to AI/ML engineering by learning Docker and Kubernetes. Front-end devs add back-end skills and become full-stack developers. Choose your first role for foundational skills such Python, cloud basics, and databases, i.e., know-how that transfers across specializations.
The soft skills that actually matter include communication, problem-solving, and learning fast. You won't advance on code alone. Senior roles need stakeholder communication, documentation, and mentoring. Problem-solving also beats raw coding speed in interviews. Learning agility matters as well since AI keeps changing everything. If you’re just starting out, you can practice these skills through side projects, open source contributions, or by taking on technical writing.
The choice between going with a bootcamp or a degree depends on your priorities. Bootcamps get you working faster if you're disciplined, as employers hire bootcamp grads for junior roles now. Degrees give you deeper theoretical fundamentals, potentially wider networks, and might better position you for specialized roles. In essence: choose a bootcamp if you need a job soon, a degree if you want something more theoretical (or want to start a leadership path).
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