Salary for Mid-level / Intermediate Security Engineer in United States during 2024

Salary details

The average mid-level / intermediate Security Engineer salary lies between USD 125,000 and USD 208,800 in the United States. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 17, 2024

Top 20 Job Tags for Mid-level / Intermediate Security Engineer roles

The three most common job tag items assiciated with mid-level / intermediate Security Engineer job listings are Security, Python and Engineering. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Security | 39 jobs Python | 35 jobs Engineering | 31 jobs AWS | 27 jobs Azure | 25 jobs Architecture | 24 jobs Computer Science | 23 jobs GCP | 21 jobs Machine Learning | 20 jobs Splunk | 15 jobs Pipelines | 15 jobs Testing | 13 jobs Research | 12 jobs CI/CD | 12 jobs Terraform | 11 jobs Privacy | 11 jobs Agile | 9 jobs Kubernetes | 8 jobs Linux | 7 jobs Consulting | 7 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Security Engineer roles

The three most common job benefits and perks assiciated with mid-level / intermediate Security Engineer job listings are Career development, Competitive pay and Equity / stock options. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 29 jobs Competitive pay | 22 jobs Equity / stock options | 19 jobs Health care | 17 jobs Team events | 15 jobs Flex hours | 12 jobs Wellness | 9 jobs Relocation support | 8 jobs Flex vacation | 7 jobs Startup environment | 7 jobs Medical leave | 7 jobs Insurance | 7 jobs 401(k) matching | 5 jobs Parental leave | 4 jobs Salary bonus | 4 jobs Fertility benefits | 4 jobs Unlimited paid time off | 3 jobs Signing bonus | 2 jobs Home office stipend | 2 jobs Lunch / meals | 1 jobs

Salary Composition

In the United States, the salary composition for a Mid-level/Intermediate Security Engineer in AI/ML/Data Science can vary significantly based on region, industry, and company size. Typically, the salary is divided into three main components: base salary, bonuses, and additional remuneration such as stock options or benefits.

• Base Salary: This is the fixed annual amount and usually constitutes the largest portion of the total compensation package. In tech hubs like Silicon Valley or New York City, the base salary might be higher due to the cost of living and competitive job market.

• Bonuses: These can be performance-based or company-wide bonuses. Performance bonuses are tied to individual or team achievements, while company-wide bonuses depend on the overall success of the company. Bonuses can range from 10% to 20% of the base salary.

• Additional Remuneration: This includes stock options, profit-sharing, health benefits, retirement plans, and other perks. Tech companies, especially startups, often offer stock options as a significant part of the compensation package to attract talent.

Increasing Salary

To increase your salary further from this position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in AI/ML and data science. Specializing in emerging technologies or acquiring expertise in niche areas can make you more valuable.

• Advanced Education: Pursuing a master's degree or Ph.D. in a related field can open up higher-paying opportunities and leadership roles.

• Networking: Build a strong professional network. Attend industry conferences, join professional organizations, and engage in online forums to connect with leaders and peers in the field.

• Leadership Roles: Aim for leadership or managerial positions. These roles typically come with higher salaries and additional responsibilities.

• Switching Companies: Sometimes, moving to a different company can result in a significant salary increase, especially if the new company values your specific skill set more highly.

Educational Requirements

Most positions for a Mid-level/Intermediate Security Engineer in AI/ML/Data Science require at least a bachelor's degree in computer science, information technology, data science, or a related field. However, many employers prefer candidates with a master's degree or higher, especially for roles that involve complex data analysis or machine learning model development.

Helpful Certifications

While not always mandatory, certain certifications can enhance your credentials and demonstrate your expertise:

• Certified Information Systems Security Professional (CISSP): Recognized globally, this certification is ideal for those looking to advance in security engineering roles.

• Certified Ethical Hacker (CEH): Useful for understanding the mindset of hackers and improving security measures.

• AWS Certified Machine Learning – Specialty: Beneficial if you are working with cloud-based AI/ML solutions.

• Google Professional Machine Learning Engineer: Validates your ability to design, build, and productionize ML models on Google Cloud.

Required Experience

Typically, a mid-level position requires 3-5 years of experience in security engineering, data science, or a related field. Experience with AI/ML projects, data analysis, and security protocols is crucial. Hands-on experience with programming languages like Python, R, or Java, and familiarity with machine learning frameworks such as TensorFlow or PyTorch, is often expected.

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