Salary for Mid-level / Intermediate Security Engineer during 2024

Salary details

The average mid-level / intermediate Security Engineer salary lies between USD 125,000 and USD 208,800 globally. 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.

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 | 41 jobs Python | 35 jobs Engineering | 33 jobs AWS | 27 jobs Azure | 25 jobs Computer Science | 25 jobs Architecture | 24 jobs Machine Learning | 22 jobs GCP | 21 jobs Splunk | 15 jobs Pipelines | 15 jobs Research | 14 jobs Testing | 13 jobs CI/CD | 12 jobs Privacy | 12 jobs Terraform | 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 | 30 jobs Competitive pay | 22 jobs Equity / stock options | 20 jobs Health care | 18 jobs Team events | 15 jobs Flex hours | 12 jobs Wellness | 9 jobs Flex vacation | 8 jobs Relocation support | 8 jobs Medical leave | 8 jobs Insurance | 8 jobs Startup environment | 7 jobs 401(k) matching | 6 jobs Parental leave | 5 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

The salary for a Mid-level/Intermediate Security Engineer in AI/ML/Data Science typically comprises a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually forms the largest part of the total compensation package. Bonuses can vary significantly depending on the company's performance, individual performance, and industry standards. In tech hubs like Silicon Valley, bonuses might be more substantial compared to other regions. Additional remuneration can include stock options, especially in startups or large tech companies, and benefits like health insurance, retirement plans, and professional development allowances. The composition can also vary by industry, with finance and tech sectors often offering more competitive packages. Larger companies might offer more comprehensive benefits, while smaller companies might compensate with higher equity stakes.

Increasing Salary

To increase your salary from this position, consider pursuing advanced certifications or further education, such as a master's degree in a related field. Gaining expertise in emerging technologies or niche areas within AI/ML can make you more valuable. Networking within the industry and attending relevant conferences can also open up higher-paying opportunities. Additionally, taking on leadership roles or projects that demonstrate your ability to drive significant business impact can position you for promotions or salary negotiations. Exploring opportunities in high-demand regions or industries can also lead to higher compensation.

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. Some employers may prefer candidates with a master's degree, especially for roles that involve complex data analysis or machine learning model development. A strong foundation in mathematics, statistics, and programming is essential, as these skills are critical for developing and implementing AI/ML solutions.

Helpful Certifications

Certifications can enhance your qualifications and demonstrate your commitment to the field. Some valuable certifications include:

• Certified Information Systems Security Professional (CISSP)
• Certified Ethical Hacker (CEH)
• Certified Information Security Manager (CISM)
• Google Professional Machine Learning Engineer
• Microsoft Certified: Azure AI Engineer Associate
• AWS Certified Machine Learning – Specialty

These certifications can validate your skills and knowledge, making you a more attractive candidate to employers.

Required Experience

Typically, a Mid-level/Intermediate Security Engineer in AI/ML/Data Science is expected to have 3-5 years of relevant experience. This experience should include hands-on work with AI/ML technologies, data analysis, and security protocols. Experience in developing and deploying machine learning models, as well as familiarity with data security best practices, is often required. Employers may also look for experience in specific industries, such as finance or healthcare, depending on the role.

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