Salary Insights by Career Role
Explore real salary data across hundreds of careers. Compare average pay, compensation ranges, and long-term earning potential, all in one place.
Whether you are negotiating an offer, planning a career transition, or benchmarking compensation, this library helps you make confident, data-driven decisions.
Looking for individual reported packages instead of role level ranges? Browse recent salary offers with base, bonus, and equity broken out.
Registered Nurse Salaries
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Electrician Salaries
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Product Manager Salaries
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Software Engineer Salaries
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Data Scientist Salaries
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Structural Engineer Salaries
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Medical Doctor Salaries
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Supply Chain Manager Salaries
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Quantity Surveyor Salaries
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IT Systems Administrator Salaries
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Statistician Salaries
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Full-Stack Developer Salaries
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Pharmacist Salaries
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Frontend Developer Salaries
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Plumber Salaries
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Mechanical Engineer Salaries
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Civil Engineer Salaries
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Industrial Engineer Salaries
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Accountant Salaries
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AI Engineer Salaries
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Research Scientist Salaries
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Electrical Engineer Salaries
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Chemical Engineer Salaries
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Occupational Therapist Salaries
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UX Designer Salaries
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HVAC Technician Salaries
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Sustainability Consultant Salaries
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Machine Learning Engineer Salaries
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UI Designer Salaries
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Cybersecurity Analyst Salaries
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Economist Salaries
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University Lecturer Salaries
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Auditor Salaries
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Project Manager Salaries
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Management Consultant Salaries
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Physiotherapist Salaries
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Environmental Engineer Salaries
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Business Analyst Salaries
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Construction Manager Salaries
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Product Designer Salaries
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DevOps Engineer Salaries
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Software Developer Salaries
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Operations Manager Salaries
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Financial Analyst Salaries
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Cloud Engineer Salaries
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Data Analyst Salaries
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Backend Developer Salaries
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Biomedical Scientist Salaries
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Research Assistant Salaries
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Network Engineer Salaries
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How do you read salary data properly?
Start with the range, not the average. Check what the figure measures, whether it is base pay or total compensation, which market it covers, and when it was collected. Then place yourself inside the range using your experience, specialisation, and location, and confirm the number appears in more than one independent source before you quote it.
Most disappointing pay conversations come from a reading error rather than from bad data. Someone finds an average, treats it as an entitlement, discovers the employer is quoting base pay while the average included bonus and equity, and the conversation ends badly for reasons that had nothing to do with their value.
This library is organised by role so you can find the right range quickly. Each role page covers typical responsibilities, the skills and qualifications employers expect, how pay develops with experience and specialisation, and the progression paths available. If you want individual reported packages rather than role level ranges, the offers page lists specific offers with base, bonus, and equity broken out.
Salary research at a glance
- What this page covers
- Role level pay: averages, ranges, and progression across hundreds of careers
- What the offers page covers
- Individual reported packages with base, bonus, and equity broken out
- Read first
- The range, because the average hides the spread you need
- Always check
- Base pay or total compensation, which market, and the collection date
- Biggest variables
- Experience, specialisation, industry demand, company size, and location
- Before you quote a number
- Find it in at least two independent sources
Salary Data by Career Role
Each role page in this library provides structured salary insights, including national averages, common compensation ranges, and how pay evolves with experience, specialization, and leadership responsibilities.
Compare Salaries Across Careers
Career decisions are rarely made in isolation. Comparing compensation across roles helps reveal opportunity cost, industry premiums, and long-term earning trajectories.
Factors That Influence Compensation
- Years of experience and seniority level
- In-demand technical, analytical, or leadership skills
- Industry demand and role scarcity
- Location, remote work options, and cost of living
Beyond Salary: Understanding the Role
Salary data alone never tells the full story. Each role page also includes contextual insights so you can understand what drives compensation.
- Typical responsibilities and expectations
- Required skills and qualifications
- Career progression and advancement paths
- How performance impacts long-term earnings
“Compensation clarity is one of the strongest tools professionals have to advocate for themselves and plan their future.”
Browse salary guides by field
Every role in the search box above, grouped by field with a note on what drives pay in each one. Open two or three adjacent roles together, because titles overlap and the higher paying label for the same work is worth knowing.
Software, cloud, and IT
- Software engineer salaries
The broadest technology role in the library. Pay varies most with seniority, specialisation, and whether the employer is a product company.
- Software developer salaries
Overlaps heavily with software engineer, and the title difference often reflects the employer's convention rather than the work.
- Full stack developer salaries
Breadth across frontend and backend. Common at smaller companies where one person covers the whole feature.
- Frontend developer salaries
Interface and client side work. Pay tracks framework depth, accessibility skill, and performance experience.
- Backend developer salaries
Services, data access, and APIs. Distributed systems experience is the usual driver at the upper end.
- DevOps engineer salaries
Build, deploy, and operate. Sits at the intersection of software and infrastructure, which keeps demand high.
- Cloud engineer salaries
Designing and running workloads on cloud platforms. Certification and platform depth both move the range.
- Network engineer salaries
Connectivity, routing, and network security. Pay is strongly influenced by industry and on call expectations.
- IT systems administrator salaries
Keeping internal systems and devices working. Often the entry route into cloud and security specialisms.
- Cybersecurity analyst salaries
Threat detection, response, and compliance. Scarcity of experienced practitioners keeps the senior band wide.
Data, AI, and analytics
- Data scientist salaries
Modelling and inference. The range depends heavily on whether the role is analytical, research, or production focused.
- Data analyst salaries
Reporting, metrics, and decision support. Frequently the first step toward data science or analytics engineering.
- AI engineer salaries
Building applications on top of models. One of the fastest moving titles, so check the date on any figure.
- Machine learning engineer salaries
Training, serving, and maintaining models in production. Combines software engineering with applied statistics.
Research, economics, and academia
- Research scientist salaries
Original research in industry or institutes. Pay diverges sharply between academic and commercial settings.
- Research assistant salaries
Supporting research programmes. Usually an early career role with pay anchored to grant or institutional bands.
- Statistician salaries
Study design and inference. Regulated industries such as pharmaceuticals tend to pay at the upper end.
- Economist salaries
Applied economic analysis in policy, finance, or technology. Sector choice moves the number more than seniority does early on.
- University lecturer salaries
Teaching and research in higher education. Pay follows published institutional scales more closely than most careers.
Product, design, and delivery
- Product manager salaries
Owning what gets built and why. Technology sector product roles carry a noticeable premium over other industries.
- Product designer salaries
End to end design of a product experience, usually including research and interaction work.
- UX designer salaries
Research and interaction design. Portfolio strength influences pay more than years of experience alone.
- UI designer salaries
Visual and interface design. Often overlaps with product design, so compare the job description rather than the title.
- Project manager salaries
Delivery, scope, and schedule across teams. Pay varies widely by industry, from construction to software.
- Business analyst salaries
Requirements, process, and data driven recommendations. A common bridge between business and technical teams.
- Operations manager salaries
Running the day to day machinery of a business. Headcount and budget responsibility drive the range.
Finance, audit, and advisory
- Accountant salaries
Financial record keeping and reporting. Professional qualification is usually the biggest single step in pay.
- Auditor salaries
Internal or external assurance work. Progression in practice firms is highly structured and predictable.
- Financial analyst salaries
Forecasting, valuation, and performance analysis. Bonus can be a large share of total pay in some sectors.
- Management consultant salaries
Advisory work across strategy and operations. Firm tier and bonus structure matter more than title.
- Sustainability consultant salaries
Environmental and reporting advisory. A growing specialism where regulation drives demand.
Engineering and applied science
- Mechanical engineer salaries
Design and analysis of mechanical systems. Industry choice, from manufacturing to energy, sets much of the range.
- Electrical engineer salaries
Power, electronics, and control systems. Chartered status and sector specialisation both lift pay.
- Civil engineer salaries
Infrastructure design and delivery. Pay tracks project scale and professional registration.
- Chemical engineer salaries
Process design and operations. Energy and pharmaceutical work typically sits at the upper end.
- Industrial engineer salaries
Process and systems efficiency. Often overlaps with operations and supply chain roles.
- Structural engineer salaries
Load bearing design and assessment. A licensed specialism where accreditation gates senior pay.
- Environmental engineer salaries
Water, waste, remediation, and compliance. Regulation and public investment drive demand.
- Biomedical scientist salaries
Laboratory diagnostics and research. Pay generally follows health service or institutional bands.
Healthcare and allied health
- Registered nurse salaries
One of the most location sensitive careers in the library, with specialisation and shift patterns both affecting pay.
- Medical doctor salaries
Pay is structured by training stage and specialty, so the range across the career is unusually wide.
- Pharmacist salaries
Community, hospital, and industry routes pay differently, and the setting matters more than seniority early on.
- Physiotherapist salaries
Musculoskeletal and rehabilitation practice. Private practice and public sector bands differ noticeably.
- Occupational therapist salaries
Functional rehabilitation across health and social care. Pay usually follows published health service scales.
Construction, trades, and supply chain
- Electrician salaries
A licensed trade where certification, self-employment, and overtime all change earnings substantially.
- Plumber salaries
Another licensed trade with a wide spread between employed and self-employed earnings.
- HVAC technician salaries
Heating, ventilation, and cooling installation and service. Certification and call out work drive pay.
- Construction manager salaries
Running sites and programmes. Project value and contract type are the main drivers of the range.
- Quantity surveyor salaries
Cost management across construction projects. Professional accreditation is a clear step up in pay.
- Supply chain manager salaries
Procurement, logistics, and planning. Scope of spend under management is the usual benchmark.
How to research a salary in six steps
This is the sequence that produces a number you can defend, rather than one you found and hope is right.
- 1
Find your role, and the two roles next to it
Search for the job title you hold or want, then open the closest adjacent titles as well. Adjacent roles tell you whether the title you are looking at carries a premium or a discount inside the same field.
- Titles overlap heavily, so read the responsibilities rather than trusting the label
- If two titles describe the same work, use the higher paying one as your comparison
- 2
Read the range before the average
Note the lower, middle, and upper parts of the range. The lower end usually reflects entry level work, the middle represents fully proficient professionals, and the upper end covers senior or specialised positions.
- Write down where you honestly sit and why
- If you cannot justify your position in the range, you cannot defend it in a conversation
- 3
Check what the figure measures
Establish whether you are looking at base salary or total compensation, and for which market. Comparing a total compensation figure against a base salary offer is the single most common reason a negotiation goes wrong.
- Bonus, equity, and benefits belong in total compensation, not in base
- Confirm the market, since a national average can be far from a specific city
- 4
Adjust for location and work arrangement
Pay bands are normally set per market. Apply the adjustment for where the job is based, and for remote roles find out which market the employer anchors to before assuming anything.
- Some employers pay one band globally, others pay the local band
- Cost of living changes what the same number is worth, which is a separate question from what it is
- 5
Verify against a second source and a dated data point
Find the figure in at least one other independent source, then look for an individual reported offer with a date attached to confirm the range has not moved. Markets shift with demand for specific skills.
- Treat any figure with no date as unreliable
- Recent individual data points are the best check before a live negotiation
- 6
Turn it into a defensible range, not a demand
Go into the conversation with a range, the basis for it, and a short explanation of where you sit and why. That is far more persuasive than a single number you cannot connect to comparable scope.
- State the source and what it measures
- Ask what band the role sits in, which often reveals more than arguing about a figure
Averages, ranges, and why the difference matters
An average salary is a single number standing in for a distribution that is usually wide and rarely symmetrical. It is a starting point and nothing more.
A range is more informative because it shows the spread. In most role data the lower part of the range reflects entry level positions, the middle represents fully proficient professionals, and the upper part covers senior or specialised work. Knowing which part applies to you converts an abstract statistic into something you can use.
Two further problems with averages are worth knowing. First, a handful of very high earners pulls an average upward, so the average can sit above what most people in the role actually receive. Second, averages calculated across a whole country blend expensive cities with cheap ones, producing a number that is accurate nationally and wrong almost everywhere specifically.
There is also the question of what is being averaged. Some sources report base salary, others report total compensation including bonus and equity, and a few are not explicit. Those can differ by a wide margin for the same role, and mixing them is the error that most often derails a pay conversation.
The practical approach is simple. Use the average to check you are in the right order of magnitude. Use the range to decide what to ask for. Use a dated individual data point to confirm the market has not moved since the data was collected.
- Lower range: entry level and early career positions
- Mid range: fully proficient professionals doing the core job
- Upper range: senior, specialised, or leadership scope
- Always establish whether a figure is base pay or total compensation
- National averages blend expensive and cheap markets, so localise before using one
What actually moves pay within a single role
Two people with identical job titles can be paid very differently without either being an anomaly. A handful of factors explain nearly all of it, and knowing which ones you can influence is useful.
Experience and seniority come first, but not as a simple function of years. What employers pay for is the scope you can be trusted with, and years are only a rough proxy for that. This is why someone with five years of broad ownership can out-earn someone with eight years of narrow work.
Depth of specialisation is the second factor and often the largest single lever. Scarce skills command a premium because the pool of people who have them is small relative to demand. Specialisation cuts both ways, though: a premium attached to one narrow skill can fade if demand shifts, which is why breadth has its own long term value.
Industry demand and talent scarcity set the ceiling for the whole role. The same skills applied in a sector with high margins and intense competition for staff will pay more than in a sector with tight budgets, regardless of individual ability.
Company size and business model change both the level and the structure of pay. Larger organisations typically have formal bands and more predictable progression. Smaller ones may pay less in cash and more in equity, or the reverse, and have far more variance between individuals.
Location and work arrangement round it out. Bands are set per market, and whether a role is remote or on site determines which market applies. For remote work, the employer's anchoring policy can matter more than anything you negotiate.
Finally, performance affects long term earnings more than starting pay. Raises, bonus multipliers, and promotion speed compound, so two people who start in the same place can be far apart within five years.
Why location and seniority change the numbers
Location and level are the two adjustments you must apply before any salary figure means anything for your situation.
Location matters because pay bands are built around local labour markets. Employers set them from the local cost of hiring the skill, the number of competitors bidding for the same people, and local cost of living. A national average therefore describes a country rather than a job, and applying it to a specific city usually produces a number that is wrong in one direction or the other.
Remote work has made this more complicated rather than less. Some employers pay a single band regardless of where you live, some pay the band for your location, and some pay the band for the office the role reports to. The difference between those policies can exceed anything achievable through negotiation, so it is worth asking early.
Seniority matters because a job title is a container for several levels of scope. Within one title you can find people who execute defined tasks and people who set direction for a whole area, and their pay bands rarely overlap much. Role level averages blend all of them together.
The two interact. A senior role in a lower paying market can pay less than a mid level role in a higher paying one, which makes cross border comparison genuinely difficult and cross border negotiation harder still. The reliable approach is to compare within one market first, then treat any cross market comparison as a separate question about cost of living and currency rather than about your value.
For engineering roles specifically, the level framework a company uses is the cleanest way to hold seniority constant while you compare. The engineering levels comparison exists for exactly that, and the career levels hub does the same for large IT services grade structures.
How to verify a salary figure before you rely on it
Salary numbers circulate widely and degrade quickly, so verification is worth the twenty minutes it takes.
Start with the definition. Confirm whether the figure is base salary or total compensation, whether it is annual or another period, and whether it is gross or net. A surprising number of arguments about pay turn out to be arguments about definitions.
Then check the market. A figure is only usable if it covers the country, and ideally the city, where the job is based. A number for a high paying metropolitan market applied to a smaller city will overstate what is achievable, and the reverse understates it.
Next, check the date. Hiring markets move with demand for specific skills, so a figure gathered in a strong market can overstate the same role after a slowdown. If a source gives no date, treat it as unreliable rather than as approximately right.
Then look at who reported it. Self-reported data can skew toward people pleased with their offer, and small samples for niche roles produce noisy results. That does not make the data useless, it makes a single point estimate unusable. Look for consistency across sources instead.
Finally, corroborate with a dated data point. An individual reported offer, with company, level, and date attached, tells you what someone actually received rather than what a role pays on average. Using both together, a role level range for the ballpark and individual offers for the current reality, is the most reliable approach available without insider information.
- Confirm base pay versus total compensation before anything else
- Match the market to the location of the job, not to the country
- Reject undated figures rather than assuming they are current
- Check the reporting source, since self-reported samples skew and small samples are noisy
- Corroborate with at least one dated individual offer
How to use salary data in a negotiation without over-claiming
Data helps in a pay conversation only when it is presented as a defensible range rather than as leverage. Over-claiming is the fastest way to lose the room.
The structure that works is short. State the range you have found, say explicitly what it is based on and what it measures, and explain where you sit within it given your experience, specialisation, and the scope of the role in front of you. That is a claim someone can check and agree with.
What does not work is quoting the top of a range with nothing connecting you to it. If your figure comes from senior specialists in an expensive market and your experience does not match, the employer only has to point that out once and the rest of your case loses credibility. A well supported request at the mid to upper part of a range is more likely to succeed than an unsupported one at the ceiling.
Two questions are usually more valuable than any number you bring. First, ask what band the role sits in and where in the band the offer falls, since that reveals whether there is room without anyone having to argue. Second, ask what would justify the upper part of the band, which turns a negotiation into a description of scope you can either meet or not.
Keep total compensation in view throughout. A lower base with meaningful equity, better pension or retirement contributions, more leave, or genuine flexibility can be worth more than a higher headline number, and trading between components is often easier for an employer than raising base pay.
Finally, be honest about the limits of your data. Saying that you found a range, that it is based on a particular source and market, and that you are aware it may not match the employer's structure exactly makes you more credible, not less. Nobody expects perfect information; they do notice when someone pretends to have it.
How to compare pay across different careers
Comparing across careers is a different exercise from benchmarking within one, and the common mistake is comparing starting points.
Compare trajectories instead. Two roles with similar entry pay can diverge substantially after a decade, because one has a wider senior band, more available specialisations, or clearer routes into leadership. A career with a modest start and a high ceiling frequently beats one with a strong start and a low one.
Factor in the cost of entry. Qualification requirements, licensing, registration, and the time it takes to reach full proficiency all reduce the real return on a career even when the headline numbers look attractive. A licensed profession with a long training period is a different proposition from one you can enter with demonstrated skill.
Consider how portable the skills are. Pay is not the only return: a role whose skills transfer across industries carries less risk than one tied to a single sector's fortunes, and that matters over a working life even though it never appears in a salary figure.
Look at variance as well as level. Some careers have tight, predictable pay with structured progression. Others have wide spreads where outcomes depend on employer, sector, or self-employment. Neither is better in the abstract, but they suit different tolerances for uncertainty.
Then use the library the way it is built. Open the roles you are weighing up side by side, read the responsibilities as well as the numbers, and check the progression section on each page. The question worth answering is not which role pays more today but which one you would rather be doing at the point where pay stops being the deciding factor.
Career Salaries by Role: Complete Guide to Pay, Ranges, and Earnings
Understanding salaries by career role is one of the most important steps professionals can take when planning their careers. Compensation impacts not only short-term financial stability, but also long-term earning potential, career satisfaction, and lifestyle decisions. This salary library was created to give you a clear, structured view of how different roles are compensated across industries and experience levels.
Rather than relying on anecdotal information or outdated estimates, this resource brings together role-specific salary data so you can make informed decisions with confidence. Whether you are early in your career or evaluating your next move, understanding pay by role provides valuable context for every professional decision.
Minimum Wage by State and Country
While role-based salary data provides insight into earning potential, understanding minimum wage laws offers important context for compensation across different regions. Minimum wage rates vary significantly by U.S. state and by country, reflecting local economic conditions, labor regulations, and cost of living.
Comparing minimum wages across locations helps job seekers, employers, and policymakers better understand baseline income standards and regional pay differences. This information is especially useful when evaluating entry-level roles, hourly positions, or international employment opportunities.
If you are researching wage standards beyond professional salaries, you can explore detailed minimum wage data by region, including historical changes and current legal requirements.
View minimum wage rates by state and country →
What Does “Salary by Role” Mean?
Salary by role refers to compensation data organized around specific job titles or career paths. Instead of looking at broad industry averages, role-based salary data focuses on what professionals earn when performing a defined set of responsibilities.
- Average annual salary for the role
- Typical salary ranges based on experience
- Entry-level, mid-level, and senior compensation
- How pay changes with specialization or leadership
Why Comparing Career Salaries Matters
Comparing salaries across different careers helps you understand the relative value of skills, experience, and industry demand. Two roles may require similar levels of education or effort, yet offer very different earning outcomes over time.
- Evaluate opportunity cost when changing careers
- Understand which skills command higher compensation
- Identify roles with strong long-term earning growth
- Benchmark offers during salary negotiations
Factors That Influence Salary by Career
Salaries vary widely even within the same role. Understanding the factors that influence compensation can help you interpret salary data accurately and identify ways to increase your earning potential.
- Years of experience and seniority
- Depth of expertise or specialization
- Industry demand and talent scarcity
- Company size and business model
- Geographic location and cost of living
- Remote versus on-site work arrangements
Salary Ranges vs Average Pay
Many professionals focus solely on average salaries, but ranges are often more informative. A salary range shows how compensation varies based on experience, performance, and role scope.
- Lower range typically reflects entry-level roles
- Mid-range represents fully proficient professionals
- Upper range often includes senior or specialized positions
How to Use This Salary Library Effectively
This library is designed to support multiple career decisions. Whether you are researching your first role or evaluating a leadership position, using salary data strategically can improve outcomes.
- Search for your current or target role
- Review salary ranges and progression paths
- Compare similar roles across industries
- Use data to prepare for compensation discussions
Beyond Salary: Understanding Total Compensation
While base salary is important, total compensation often includes additional elements that significantly impact overall earnings.
- Bonuses and performance incentives
- Equity, stock options, or profit sharing
- Benefits such as health insurance and retirement plans
- Flexible work arrangements and paid time off
Planning Your Career with Salary Data
Salary data is most powerful when used as part of a broader career strategy. Understanding how compensation evolves over time allows you to plan skill development, career transitions, and long-term goals more effectively.
By exploring salaries by role, you gain insight into which career paths align with your financial goals, interests, and lifestyle preferences. This clarity helps reduce uncertainty and empowers better professional decisions at every stage of your career.
Explore roles, compare salaries, and use data to move forward with confidence.
Salary data questions
How do I read salary data properly?
Read the range before the average. An average compresses a wide distribution into one number and hides the thing you need, which is where in the range a person with your experience, specialisation, and location actually sits.
Then check three things about any figure: what it measures, when it was collected, and who reported it. A base salary average and a total compensation average for the same role can differ enormously, and comparing one against the other is the most common mistake people make.
What is the difference between an average salary and a salary range?
An average is a single summary statistic. A range shows the spread, normally with the lower end reflecting entry level roles, the middle representing fully proficient professionals, and the upper end covering senior or specialised positions.
Ranges are more useful for decisions because pay within one job title varies by experience, performance, and scope. If you only look at the average you will either undersell yourself or quote a number you cannot justify.
Why do salaries for the same role vary so much?
Years of experience and seniority, depth of specialisation, industry demand and talent scarcity, company size and business model, geographic location and cost of living, and whether the role is remote or on site. Those six factors explain most of the variation you will see inside a single job title.
This is also why role level data should be used to find the right ballpark rather than to predict an exact number for one person.
Why does location change salary so much?
Pay bands are usually set per market, so they reflect local cost of labour, local competition for the skill, and local cost of living. The same role and the same level can therefore carry very different numbers in different cities or countries.
For remote roles, check which market the employer anchors pay to. Some pay one global band, others pay the band for where you live, and the difference can be larger than anything you will win in a negotiation.
How do I verify a salary figure before I use it?
Find the same figure in at least two independent sources and check that both are measuring the same thing for the same market and the same seniority. Then look for at least one data point with a date attached, such as an individual reported offer, to confirm the range has not moved.
If a number only appears in one place, or you cannot tell whether it is base pay or total compensation, do not quote it. Describing the range and your position in it is more defensible than an unverifiable point estimate.
How should I use salary data in a negotiation?
Use it to establish a defensible range rather than to make a demand. State the range you have found, say what it is based on, and explain where in it you sit given your experience and the scope of the role.
Avoid over-claiming. If you quote a top of market number that you cannot connect to comparable scope, you invite a correction that weakens the rest of your case. A well supported mid to upper range request is usually more persuasive than an unsupported ceiling.
Is total compensation the same as salary?
No. Base salary is one component. Total compensation normally also includes bonuses and performance incentives, equity, stock options or profit sharing, benefits such as health insurance and retirement contributions, and paid time off.
When comparing two offers, compare like with like. An offer with a lower base and meaningful equity can be worth more or less than a higher base with none, depending on vesting and how you value the risk.
How often does salary data go out of date?
Faster than most people assume, because hiring markets move with demand for specific skills. A figure collected during a hiring boom can overstate what the same role pays after a slowdown, and the reverse is also true.
Treat any figure without a date as unreliable, and prefer recent individual data points when you are about to negotiate.
How do I compare pay across different careers?
Compare the full trajectory, not the starting point. Two roles with similar entry pay can diverge sharply after ten years, because one has a wider senior band or more specialisation premiums available.
Also compare what it costs to enter: qualification requirements, licensing, and time to reach full proficiency all change the real return on a career even when the headline pay looks similar.
What is the difference between this page and the offers page?
This page is the role level library: what a job title pays on average, the usual range, and how pay develops with experience across hundreds of careers.
The offers page is the data point level view: individual reported offers broken down into base salary, bonus, and equity, with company, level, and date attached. Use this page to find the right range and that page to see what specific packages actually looked like.
Does a higher salary always mean a better offer?
No. Benefits, pension or retirement contributions, paid leave, flexibility, and the rate at which pay grows in the role all change the real value of a package, and none of them appear in a base salary figure.
Progression matters most over time: a role with a lower start and a wider senior band can overtake a higher paying role with a low ceiling within a few years.
Can I use role salary data to ask for a raise?
Yes, with one adjustment: internal raises are usually constrained by the band attached to your level, so market data works best when paired with evidence that your scope has grown into the next band.
Bring both. The market range shows what the work is worth externally, and the scope evidence shows why you should sit higher within your employer's structure.
Levels, offers, and preparation
Role level ranges are one input. These pages cover the others: individual reported offers, level frameworks that hold seniority constant, and the preparation that decides which band you land in.
Other pay research on HireCade
- Recent salary offers
Individual reported offers with base, bonus, and equity broken out, plus company, level, and date.
- Engineering levels compared
Hold seniority constant while comparing pay across product technology companies.
- Career levels by company
Grade codes, bands, and promotion timelines at large IT services firms.
- Minimum wage by state and country
Baseline wage standards, useful context for entry level and hourly roles.
- Resources library
Compensation benchmarks, levelling guides, and hiring market research in one place.
Company pay and level guides
- Google levels
The L ladder and how pay changes between rungs.
- Meta salary levels
Meta levels with total compensation and the levelling structure.
- Microsoft software engineer salary
Base, bonus, stock, and level by level compensation at Microsoft.
- Amazon senior software engineer salary
Base pay, stock, and bonuses by level and region.
- Apple senior software engineer salary
Base pay, bonuses, equity, and regional differences at Apple.
- Netflix engineering levels and salary
A flatter ladder and a different pay structure.
- Venture capital salary guide
Base pay, carry, and bonuses across fund sizes and roles.
Prepare and apply
- Resume builder
Describe scope and ownership so your experience matches the band you are targeting.
- Interview questions
The behavioural and technical questions that decide which level you are offered.
- Mock interviews
Practise the conversation, including how you talk about compensation.
- Practice problems
Technical practice for the rounds that gate the offer.
- Courses
Build the specialisation that moves you up a pay band.
- For job seekers
Everything HireCade offers candidates, in one place.
- Community
Compare notes with people negotiating offers right now.
Hiring? Start here
- Pricing
What HireCade charges, including placement fees calculated on first-year base salary.
- All products
The full catalogue, from the free ATS to global employment.
- Free ATS
Post jobs and track candidates at no cost, with unlimited seats.
- AI Recruiter
Automated sourcing, resume review, and a ranked shortlist.
- Employer of Record
Employ people in new countries without setting up a local entity.
- Blog
Longer articles on compensation, hiring, and the job market.
