Cloud Database Engineer Salary in United States during 2024

Salary details

The average Cloud Database Engineer salary lies between USD 98,500 and USD 189,000 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. 24, 2024

Top 20 Job Tags for Cloud Database Engineer roles

The three most common job tag items assiciated with Cloud Database Engineer job listings are AWS, PostgreSQL and Security. 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:

AWS | 64 jobs PostgreSQL | 61 jobs Security | 59 jobs SQL | 58 jobs Engineering | 47 jobs MySQL | 44 jobs Architecture | 43 jobs Azure | 43 jobs Oracle | 38 jobs Computer Science | 37 jobs Python | 36 jobs Linux | 35 jobs Terraform | 29 jobs MongoDB | 27 jobs Kubernetes | 26 jobs GCP | 26 jobs DevOps | 20 jobs RDBMS | 20 jobs Testing | 17 jobs MS SQL | 17 jobs

Top 20 Job Perks/Benefits for Cloud Database Engineer roles

The three most common job benefits and perks assiciated with Cloud Database Engineer job listings are Career development, Health care and Flex hours. 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 | 32 jobs Health care | 31 jobs Flex hours | 24 jobs Competitive pay | 19 jobs Flex vacation | 17 jobs Team events | 17 jobs Startup environment | 13 jobs Insurance | 12 jobs Salary bonus | 12 jobs Medical leave | 10 jobs Equity / stock options | 9 jobs Transparency | 8 jobs Wellness | 7 jobs Home office stipend | 5 jobs 401(k) matching | 4 jobs Unlimited paid time off | 3 jobs Parental leave | 2 jobs Gear | 2 jobs Yoga | 2 jobs Flexible spending account | 2 jobs

Salary Composition

The salary for a Cloud Database Engineer in the AI/ML/Data Science field 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 the specific industry. For instance, tech companies, especially those in Silicon Valley, often offer substantial bonuses and stock options. In contrast, smaller companies or those in less tech-centric regions might offer lower bonuses but compensate with other benefits like flexible working conditions or additional vacation days. The size of the company also plays a role; larger companies often have more structured bonus programs and additional perks.

Increasing Salary

To increase your salary from the position of a Cloud Database Engineer, consider the following strategies:

• Skill Enhancement: Continuously update your skills, especially in emerging technologies and tools related to AI/ML and cloud computing. Specializing in a niche area can make you more valuable.
• Advanced Education: Pursuing a master's degree or a Ph.D. in a related field can open up higher-paying opportunities.
• Leadership Roles: Transitioning into a managerial or lead role can significantly increase your earning potential.
• Networking: Building a strong professional network can lead to opportunities in higher-paying companies or roles.
• Certifications: Obtaining advanced certifications can demonstrate your expertise and commitment to the field, potentially leading to salary increases.

Educational Requirements

Most Cloud Database Engineer positions require at least a bachelor's degree in computer science, information technology, or a related field. However, a master's degree can be advantageous and is often preferred by top-tier companies. Courses in data structures, algorithms, database management, and cloud computing are particularly relevant. Additionally, coursework or experience in AI/ML can be beneficial given the intersection of these fields.

Helpful Certifications

Certifications can enhance your resume and demonstrate your expertise. Some valuable certifications include:

• AWS Certified Database - Specialty
• Google Professional Data Engineer
• Microsoft Certified: Azure Database Administrator Associate
• Certified Data Management Professional (CDMP)
• Certified Cloud Security Professional (CCSP)

These certifications can validate your skills in cloud database management and data engineering, making you a more competitive candidate.

Required Experience

Typically, employers look for candidates with 3-5 years of experience in database management, cloud computing, or a related field. Experience with specific cloud platforms like AWS, Azure, or Google Cloud is often required. Additionally, hands-on experience with database technologies such as SQL, NoSQL, and data warehousing solutions is crucial. Experience in AI/ML projects can also be a significant advantage.

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