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

Salary details

The average mid-level / intermediate Cloud Database Engineer salary lies between USD 88,125 and USD 149,750 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: Dec. 22, 2024

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

The three most common job tag items assiciated with mid-level / intermediate Cloud Database Engineer job listings are AWS, Engineering and SQL. 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 | 16 jobs Engineering | 15 jobs SQL | 13 jobs PostgreSQL | 13 jobs MySQL | 12 jobs Security | 12 jobs Architecture | 10 jobs Oracle | 9 jobs Terraform | 9 jobs MongoDB | 8 jobs Azure | 8 jobs Computer Science | 8 jobs Python | 7 jobs Kubernetes | 6 jobs DynamoDB | 6 jobs Docker | 6 jobs NoSQL | 5 jobs Ansible | 5 jobs DevOps | 5 jobs Linux | 4 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Cloud Database Engineer job listings are Career development, Flex hours and Health care. 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 | 11 jobs Flex hours | 9 jobs Health care | 9 jobs Salary bonus | 5 jobs Startup environment | 4 jobs Team events | 4 jobs Flex vacation | 3 jobs Competitive pay | 3 jobs Home office stipend | 3 jobs Transparency | 2 jobs Yoga | 2 jobs 401(k) matching | 1 jobs Equity / stock options | 1 jobs Parental leave | 1 jobs Wellness | 1 jobs Medical leave | 1 jobs Insurance | 1 jobs Fertility benefits | 1 jobs

Salary Composition

The salary for a Mid-level/Intermediate Cloud Database Engineer in the United States typically comprises a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually constitutes the majority 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 tech startups or large tech companies, and benefits such as health insurance, retirement plans, and paid time off. The composition can also vary by industry; for instance, financial services might offer higher bonuses, while tech companies might provide more in stock options. Company size can influence this as well, with larger companies often offering more comprehensive benefits packages.

Increasing Salary

To increase your salary from this position, consider pursuing advanced certifications or further education, such as a master's degree in data science or a related field. Gaining expertise in high-demand areas like machine learning, artificial intelligence, or big data analytics can make you more valuable. Networking within the industry and seeking mentorship can provide insights into higher-paying opportunities. Additionally, taking on leadership roles or projects that demonstrate your ability to drive results 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 Cloud Database Engineer require at least a bachelor's degree in computer science, information technology, 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 tasks. A strong foundation in database management, cloud computing, and programming languages is essential. Continuous learning and staying updated with the latest technologies and trends in AI/ML and data science are also crucial.

Helpful Certifications

Certifications can significantly enhance your qualifications and demonstrate your expertise to potential employers. Some valuable certifications include:

• AWS Certified Database - Specialty: Validates expertise in AWS database services.
• Google Professional Data Engineer: Demonstrates proficiency in designing, building, and operationalizing data processing systems.
• Microsoft Certified: Azure Database Administrator Associate: Focuses on managing and implementing databases on Azure.
• Certified Data Management Professional (CDMP): Offers a broad understanding of data management principles.

These certifications can help you stand out in the job market and potentially lead to higher salary offers.

Required Experience

Typically, a Mid-level/Intermediate Cloud Database Engineer is expected to have 3-5 years of experience in database management, cloud computing, or a related field. Experience with cloud platforms like AWS, Azure, or Google Cloud is often required. Familiarity with database technologies such as SQL, NoSQL, and data warehousing solutions is essential. Experience in scripting and programming languages like Python, Java, or R can also be beneficial. Demonstrated experience in managing and optimizing database performance, security, and scalability is crucial.

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