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The $400K Tech Job You’ve Never Heard Of. Fastest-growing and highest-paying jobs.
What is the job that is growing the fastest and paying the most?
Think the biggest tech salaries still go to software engineers and CEOs?
Not anymore. There’s a new breed of tech job paying $400K and up that you’ve probably never heard of.
The Advent of New Tech Jobs in 2023: The Silent Earning Revolution
These jobs have been exploding with high salaries in recent years, and demand has skyrocketed. Yet most people outside of tech don’t even know these jobs exist, much less how lavishly they are now compensating.
Once obscure skills like machine learning, data engineering, and analytics are fueling careers that pay on par with medicine, law, and finance.
A degree in statistics or computer science that led to a $90K salary just a decade ago could now command four or five times that much in the right role.
Job Title Impact: Median Salaries for Data Scientists in 2023
The jobs powering tech’s latest gold rush won’t always be obscure or pay sky-high salaries — the market will eventually balance out.
But for now, this new class of high-tech, high-paying roles represents a unique opportunity. In the world of emerging data jobs, the possibilities for challenge, impact, and outsized reward have never been greater.
For once, tech’s 1% aren’t just marketers and executives — they’re data scientists, machine learning engineers, and others equipped with specialized technical abilities most schools didn’t even teach until recently.
The future belongs to those who can make sense of data, and these “data superjobs” are rewriting the rules of tech employment.
If you’ve got the right mind and the skills to match, your compensation may reach new heights in one of tech’s most rewarding — and highest-paying — careers.
Why Machine Learning Engineers are Earning More in 2023: A Deep Dive into Salaries
The hottest job in tech right now is Machine Learning Engineer. ML Engineers have seen their pay skyrocket over the past few years. From 2020 to 2023, the average ML Engineer’s salary shot up by a whopping $191,183!
Why ML Engineer earned $191,183 more?
Talk about a major raise. It’s clear that companies desperately want to hire ML Engineers. As artificial intelligence has exploded, the demand for people who can build machine learning models and systems has gone through the roof. Salaries have followed suit as companies try to recruit the top talent. For those with the skills to do this highly complex job, the future is bright. ML Engineering is proving to be an incredibly lucrative field.
The $400K Tech Job You’ve Never Heard Of
Highest Paying Data Job: How Much Does an Analytics Engineering Manager Make?
According to recent data, the highest-paying data job these days is “Analytics Engineering Manager,” with some earning nearly $400K. At the other end of the spectrum, “Data Quality Engineers” still command a respectable $76K at the high end.
Data Scientist Salaries: How Much Does a Data Scientist Make in 2023?
The largest single data job category, “Data Engineer,” can also be very lucrative, with top salaries approaching $333K. Even relatively obscure jobs like “Head of Machine Learning” can earn over $76K at the highest levels. While these are just snapshots of the overall job market, it’s clear that for certain specialized data skills, the upper limits of pay are being redefined. For those with the right technical abilities, data jobs are creating new entrants to tech’s “$400K-aire” club.
Evolving Average Base Salary for Machine Learning Engineers in 2023: A Glassdoor Perspective
Of course, as with any job, salaries are highly dependent on factors like location, experience, education, and company. But it’s telling that senior roles in the thriving data economy are yielding salaries that can exceed even the most generous tech paydays of years past. For the in-demand data scientists and engineers of today, six-figure pay is just the starting point. The new rock stars of tech may just be the ones crunching numbers behind the scenes.
Changing Salaries for Data Science Directors: Why They Earn Less in 2023
The job of Director of Data Science used to be one of the hottest titles in tech, with sky-high salaries to match. But it looks like the amazing paydays for Data Science Directors may be coming to an end.
From 2020 to 2023, the average salary for Data Science Directors plunged by $91,560. That’s a huge drop in just three years. While $91K is still a ton of money, it shows that companies seem to view Data Science Directors as less valuable than before.
What’s going on here? A few possibilities:
1. Data science skills have become more common, so people with those abilities are easier to find. When talent was scarce, salaries shot up. Now that more people have these skills, companies don’t have to pay as much.
2. Tools and technologies have made some data science work simpler to do. Jobs that were once highly complex can now be handled by more junior (and lower-paid) data scientists. So companies are shifting more work to them.
3. The data science job market is changing fast. The hottest roles keep changing, and companies may now prefer to hire other positions like data engineers or machine learning engineers. So demand for Data Science Directors has dropped.
Whatever the reasons, the message seems clear: if you’re a Data Science Director, you may need to expand your skills to avoid losing ground in today’s fast-moving job market. The days of automatic $200K+ paydays could be numbered.
Adaptability has always been key in tech jobs, and data science is proving to be no exception.
The Dominance of Data Jobs in the Tech Industry: An Analysis of Salaries and Job Titles
A huge majority (almost 87,5%) of the tech jobs we looked at fell under the broad category of “data jobs.” This includes many specific jobs like data engineers, data analysts, data scientists, and more. These jobs all focus on gathering, organizing, and analyzing data.
A smaller portion of jobs, around 12,5%, were in the machine learning category. These are jobs with “machine learning” in the actual job title, showing they concentrate specifically on machine learning techniques.
While machine learning is a fast-growing and lucrative field, it’s still a relatively small part of the overall data job market. The vast majority of opportunities remain in broader data analysis and management roles.
For those developing skills in data, the message is clear: pursue machine learning ability. Machine Learning knowledge can unlock more advanced data jobs and higher pay. The data pros of tomorrow will not just analyze data, but build algorithms and systems capable of learning from it.
The Interplay of Firm Size and Experience: Insights into Tech Salaries in 2023
Size Does Matter
Our data shows that when it comes to tech salaries, company size really does make a difference. Bigger companies generally pay better, and they pay more at every level of experience.
Entry-Level vs. Senior: How Experience Influences a Data Scientist’s Pay in 2023
But experience matters too. No matter what size company you work for, the more experience you have, the higher your salary is likely to be. Senior engineers and data scientists, for example, earn significantly more than their mid-level or junior counterparts.
Leveraging Firm Size and Experience: Navigating the Salary Landscape for Data Scientists in Top Companies
Interestingly, bigger companies and higher-level roles also lead to a wider range of possible pay. The salaries for senior engineers at big companies varied a lot more than for junior engineers at small companies. Some very large companies even had a few ultra-high salaries that were much higher than average.
When there’s more diversity in jobs and skills, salaries are less standardized. At huge companies tackling the most complex projects, certain highly-skilled individuals may be especially valued and compensated.
Of course, at the lower end of the scale, wider variation means some may earn on the lower end of the range.
Overall, our analysis confirmed conventional wisdom: the ideal recipe for a tech salary is a blend of experience, skills, job responsibility, and company resources. Bigger paydays come with bigger challenges at larger organizations, and with more advanced roles that require uncommon abilities.
Take the Next Step: Planning a Career in the High-Paying World of Data Science
For those looking to land a top tech salary, the lessons are clear. Focus not just on the job title but on developing expertise and leadership ability. And while startups have appeal, bigger, well-established companies are still more likely to pay top dollar for talent they rely on.
When it comes to climbing the salary ladder in tech, company scale and skill level really are two of the biggest factors that determine how high you can go.
Size does matter in tech pay, because the biggest jobs still demand the greatest gifts. Choose work that fits your abilities, but also seek companies large enough to reward your most valuable skills.
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Dataset context: The “Data Science Salaries: 2020–2023” dataset shows data science salary trends and fluctuations from 2020 to 2023. This dataset contains salary data from various industries, organizations, and geographic regions, allowing data professionals, researchers, and organizations to analyze and understand the data science salary landscape over this four-year period. This dataset reveals how employment positions, experience, education, and geography affect data science earnings. The dataset aids career advising, pay benchmarking, and data science job market research.
Content: The dataset covers Job Title, Employment Type, Experience Level, Expertise Level, Salary, Currency, Company Location, USD Salary, Employee Residence, Company Size, and Year. Acknowledgement: Dataset from ai-jobs net
