Software Engineer Salary by City: 2026 Metro Area Statistics

The main salary tables in this resource come from the U.S. Bureau of Labor Statistics Occupational Employment and Wage Statistics profile for Software Developers, occupation code 15-1252. The specific metro tables cited here are from the May 2023 BLS OEWS page because Tavily returned the full page content, including the metropolitan area tables for highest pay, highest employment, and highest concentration.

For current wage-source context, CareerOneStop states that its Salary Finder uses the U.S. Department of Labor's Bureau of Labor Statistics Occupational Employment and Wage Statistics Program and that current data are from the May 2024 estimates. One CareerOneStop result retrieved through Tavily showed New York-Newark-Jersey City at $161,970 median yearly pay with a $97,420 low range and $220,780 high range. That is useful because it shows how quickly metro data can update while the broad city pattern remains recognizable.

There are three important caveats. First, BLS metro data uses metropolitan statistical areas, not the exact city limits a normal person means when they say "San Francisco" or "New York." Second, the BLS top-paying metro table reports annual mean wage, not median total compensation. Third, public wage datasets undercount the weird upper tail of software engineering, especially equity-heavy roles at large public companies.

So do not read these tables as a promise that you personally will make exactly the listed amount. Read them as a market signal. A metro with high wages, high employment, and a high location quotient is telling you there is real employer demand, real salary pressure, and a real software labor market. That matters.

Here is the obvious starting point: the metro areas where annual mean wages are highest in the BLS May 2023 software developer table.

The first thing that jumps out is how dominant San Jose still is. A $199,800 annual mean wage is not a small lead. It is a statement about the kind of companies, technical problems, and labor competition that live in the South Bay.

Boulder at $182,650 may surprise people who only think in terms of the usual coastal giants. It should not. Boulder has a smaller employment base than the Bay Area or Seattle, but its combination of technical employers, startup culture, research connections, and high-skilled labor demand pushes wages up.

San Francisco-Oakland-Hayward lands at $181,220, which confirms the obvious: the broader Bay Area is still one of the strongest software salary markets in the country. Seattle at $164,130 is also exactly where you would expect it to be, given the density of major tech employers and cloud infrastructure work.

The sleeper in this table is Boise City at $151,620. Boise does not have the same software employment base as New York, San Jose, Seattle, or Washington, DC. But the BLS top-pay table suggests a market where the developers who do fit the local employer mix can still command serious money.

High salaries are attractive, but job volume matters too. A city with a giant employment base gives you more shots on goal. More employers. More recruiters. More peer networks. More fallback options when a company gets weird.

New York-Newark-Jersey City leads this table with 119,010 software developer jobs in the BLS May 2023 metro data. That should change how developers think about New York. It is not just finance and media with some software sprinkled on top. It is one of the biggest software labor markets in the country.

San Jose, San Francisco, and Seattle combine high employment with very high wages, which is why they stay relevant even when people complain about cost of living. The economics are hard, but the opportunity density is real. You can leave one company and still have a serious market around you.

Washington-Arlington-Alexandria is another market developers often underestimate. With 72,010 software developer jobs and an annual mean wage of $148,480, it is a major technology labor market, especially for government, defense, security, consulting, and enterprise software work.

Dallas, Los Angeles, Boston, Chicago, and Atlanta show the power of large diversified metros. They may not all top the salary table, but they offer a broader employment base than many niche tech cities. If you are optimizing for stability, employer variety, and long-term optionality, that matters a lot.

Employment count tells you how many software jobs are in a market. Location quotient tells you something different: how concentrated software developer employment is compared with the national average. That is a proxy for tech density.

San Jose's 7.75 location quotient is almost comical. It means the local job market is built around software talent in a way that most cities simply are not. If you want to be surrounded by people who understand your work, investors who fund technical companies, and employers competing for specialized engineering talent, that density is powerful.

Boulder at 3.69, Seattle at 3.35, and San Francisco at 3.18 are also high-density markets. You should not only interpret that as salary upside. Interpret it as career osmosis. In dense markets, you overhear better problems, meet sharper peers, and get exposed to more ambitious technical cultures.

Huntsville is the interesting curveball. Its annual mean wage of $120,260 is not top-tier, but the 2.65 location quotient shows a concentrated technical labor market. For developers in defense, aerospace, embedded systems, simulation, or government-adjacent work, Huntsville is much more serious than casual observers realize.

Raleigh, Durham-Chapel Hill, Provo-Orem, and Austin also show why the next generation of software careers will not be confined to the classic coastal hubs. They have enough density to create real networks, but in many cases they carry different lifestyle and cost structures than San Francisco or New York.

The most dangerous way to use this data is to sort the table by salary and move to the top city like you are picking the highest score in a video game.

That is amateur thinking.

If San Jose pays $199,800 on average in the BLS table, that is a huge signal. But it is not the whole game. Housing costs, taxes, commute time, employer type, family situation, risk tolerance, and your actual level all change the answer. A senior distributed systems engineer with multiple big-tech offers is playing a different game than a junior developer trying to get a first real production job.

The same is true in reverse. A city that does not crack the top-paying table can still be a great career move if it gives you a strong role, a serious mentor, a credible company name, and enough room to save. Too many developers obsess over the market average while ignoring the specific offer in front of them.

Here is the framework I would use:

• Pay: What does the local market actually pay for your specialty and level?
• Density: How many alternative employers exist if this job fails?
• Trajectory: Does the city expose you to harder problems and better peers?
• Cost: How much life does the salary buy after housing and taxes?
• Leverage: Can you use remote work, rare skills, or a premium employer to beat the local median?

That last point is where smart developers win. You do not have to passively accept the average salary of your city. If you build a scarce skill set, get into a national talent pool, and negotiate like an adult, you can often import a higher-paying market into a lower-cost location.

But you need to know the baseline first. That is what city salary data gives you. It tells you whether an offer is normal, weak, or unusually strong for a market.

Remote work made city salary data more important, not less important.

Before remote work became normal, your city mostly determined your employer set. If you lived in Raleigh, you competed in Raleigh. If you lived in Seattle, you competed in Seattle. Remote work cracked that open. A developer in Boise can now interview for a company that benchmarks compensation against Seattle, San Francisco, New York, or a national pay band.

That creates opportunity. It also creates confusion.

Some companies still localize pay aggressively. Others use national bands. Some use broad zones. Some quietly pay based on negotiation leverage more than policy. That means two developers in the same city can earn radically different amounts for similar work.

This is why the BLS city data should not be used as a ceiling. It is a baseline. If Boise appears in the BLS top-paying metro table at $151,620, that tells you the local market has real high-end wage data. But a remote developer living in Boise and working for a Seattle-calibrated company may be playing an even better game.

The flip side is also true. A remote salary that sounds great in a cheap market may be mediocre in New York or San Francisco. CareerOneStop's Tavily result for New York-Newark-Jersey City showed $161,970 median yearly pay and $220,780 at the high end of the displayed yearly range. If a New York employer offers a mid-career developer $120,000 and calls it competitive, the local data gives you a reason to push back.

The smart move is to compare three numbers: local market pay, remote national pay, and your personal value based on skill. The best outcome is when your personal value is priced by a premium market while your lifestyle costs are not.

Your best city is not just a place. It is a strategy matched to your career stage.

If you are early career, do not worship salary tables too hard. Your first serious engineering job should optimize for skill growth, production experience, code review, mentorship, and a resume story that makes the next job easier. A strong team in Atlanta, Chicago, Raleigh, Austin, or Dallas can beat a lonely, chaotic, under-mentored role in a higher-paying city.

If you are mid-career, salary data becomes more useful. You have enough evidence of competence to negotiate, switch markets, and apply remote pressure. At this stage, dense markets like Seattle, San Francisco, New York, Washington, DC, and Boston can accelerate your options. But strong secondary markets can also be excellent if you can pair lower life costs with national compensation.

If you are senior or staff-level, the city table becomes a floor, not a destination. You should care less about average local salary and more about where your specific expertise is scarce. A staff backend engineer, machine learning infrastructure engineer, security specialist, or platform architect should not let broad metro averages define their ceiling.

The higher you go, the more your compensation depends on the business value of the problems you solve. Cities matter because they cluster those problems. But they are not destiny.

There is also a lifestyle point developers ignore until it hurts. A city that maximizes salary but destroys your focus, family life, health, or savings rate is not automatically a win. The goal is not to look successful on a salary chart. The goal is to build a strong career and a life you do not resent.

Here is the practical part. Salary data is not just for curiosity. It is ammunition.

When a recruiter asks for your expectations, you should know the local range before you answer. If you are talking to a company in New York, San Jose, Seattle, Washington, DC, or Boston, you now have evidence that these are not generic software markets. They are deep, expensive, competitive labor markets.

You do not need to sound combative. You can say something like:

"Based on BLS and CareerOneStop wage data for this metro area, plus the scope of the role, I am targeting a range that reflects the local senior software developer market. I am flexible on structure, but I want the total package to be aligned with the level of responsibility."

That is much stronger than blurting out a random number.

Use city data to catch lowball offers, but do not stop there. Add your specialty, years of experience, business impact, competing interviews, and remote-market alternatives. The more proof you bring, the less the conversation becomes about what you want and the more it becomes about what the market already says.

Also remember the difference between salary and total compensation. BLS wage data is useful, but it does not fully capture stock grants, bonuses, refreshers, signing bonuses, or private-company option value. In big tech and late-stage startups, total compensation can be far above wage data. In smaller local companies, salary may be most of the package.

So use the public data as your foundation, then build the real negotiation around the actual package.

• U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics: Software Developers, occupation code 15-1252, May 2023 metropolitan area tables for annual mean wage, employment, jobs per 1,000, and location quotient. Retrieved through Tavily raw page content.
• CareerOneStop Salary Finder: Software Developers, source note stating salary information comes from the U.S. Department of Labor's Bureau of Labor Statistics Occupational Employment and Wage Statistics Program and that current data are from May 2024 estimates.
• CareerOneStop Salary Finder, New York-Newark-Jersey City result: Tavily returned local yearly wages of $97,420, $161,970, and $220,780 for the displayed low, median, and high columns.
• U.S. Bureau of Labor Statistics Occupational Outlook Handbook: Software Developers, Quality Assurance Analysts, and Testers, showing projected 15% employment growth from 2024 to 2034.
• O*NET OnLine: Software Developers, 15-1252.00 occupational profile, used as an occupation-code cross-check.
• Levels.fyi 2025 End of Year Pay Report and location pages: Used only as context for equity-heavy software engineering compensation, not as the source for BLS wage tables.

For more compensation context, see our software developer salary statistics, software engineer salary by state, and software developer total compensation statistics.