Salary for Mid-level / Intermediate Cloud Database Engineer during 2024
💰 The median Salary for Mid-level / Intermediate Cloud Database Engineer during 2024 is USD 103,500
✏️ This salary info is based on 16 individual salaries reported during 2024
Salary details
The average mid-level / intermediate Cloud Database Engineer salary lies between USD 82,000 and USD 146,850 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.
- Job title
- Cloud Database Engineer
- Experience
- Mid-level / Intermediate
- Region
- global/worldwide
- Salary year
- 2024
- Sample size
- 16
- Top 10%
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- Top 25%
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- Median
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- Bottom 25%
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All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.
Last updated: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 jobsTop 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 jobsSalary Composition
The salary for a Mid-level/Intermediate Cloud Database Engineer typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually forms the bulk of the total compensation package. Performance bonuses can vary significantly depending on the company's success and individual performance, often ranging from 5% to 20% of the base salary. Additional remuneration might include stock options, especially in tech companies, and benefits like health insurance, retirement contributions, and paid time off. The composition can vary by region, with tech hubs like Silicon Valley offering higher base salaries and stock options, while other regions might offer more balanced packages. Industry and company size also play a role; larger tech companies or those in high-demand sectors may offer more competitive packages compared to smaller firms or those in traditional industries.
Steps to Increase 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 also open up opportunities for advancement. Additionally, taking on leadership roles or projects that demonstrate your ability to drive results can position you for promotions or salary negotiations. Staying updated with the latest technologies and trends in cloud computing and database management will also enhance your skill set and marketability.
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. A strong foundation in mathematics, statistics, and programming is essential, as these skills are critical for understanding and working with data. Practical experience gained through internships or projects during your education can also be beneficial.
Helpful Certifications
Certifications can significantly enhance your credentials and demonstrate your expertise to potential employers. Some valuable certifications for this role 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 operational aspects of cloud-native and hybrid data platform solutions.
- 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 may 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 specific cloud platforms like AWS, Azure, or Google Cloud is often required. Familiarity with database technologies such as SQL, NoSQL, and data warehousing solutions is crucial. Experience in data modeling, ETL processes, and performance tuning can also be important. Employers may look for candidates who have demonstrated the ability to manage and optimize cloud-based database systems effectively.
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