Salary for Mid-level / Intermediate Data Modeler during 2023

Salary details

The average mid-level / intermediate Data Modeler salary lies between USD 55,368 and USD 110,736 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

Salary trend

Top 20 Job Tags for Mid-level / Intermediate Data Modeler roles

The three most common job tag items assiciated with mid-level / intermediate Data Modeler job listings are SQL, Architecture and Machine Learning. Below you find a list of the 20 most occuring job tags in 2023 and the number of open jobs that where associated with them during that period:

SQL | 11 jobs Architecture | 9 jobs Machine Learning | 6 jobs Engineering | 6 jobs Agile | 6 jobs Data warehouse | 6 jobs Big Data | 5 jobs Security | 5 jobs Snowflake | 5 jobs Data analysis | 5 jobs AWS | 4 jobs Computer Science | 4 jobs Python | 3 jobs ETL | 3 jobs Oracle | 3 jobs NoSQL | 3 jobs Business Intelligence | 3 jobs Banking | 3 jobs Data visualization | 3 jobs Data management | 3 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Data Modeler roles

The three most common job benefits and perks assiciated with mid-level / intermediate Data Modeler 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 2023 and the number of open jobs that where offering them during that period:

Career development | 8 jobs Health care | 5 jobs Flex hours | 3 jobs Flex vacation | 2 jobs Wellness | 2 jobs Fitness / gym | 2 jobs Startup environment | 2 jobs 401(k) matching | 1 jobs Equity / stock options | 1 jobs Parental leave | 1 jobs Travel | 1 jobs Competitive pay | 1 jobs Transparency | 1 jobs Team events | 1 jobs Medical leave | 1 jobs

Salary Composition

The salary for a Mid-level/Intermediate Data Modeler typically consists of a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The composition can vary significantly based on region, industry, and company size. In tech hubs like Silicon Valley, the base salary might be higher, but bonuses and stock options can also form a substantial part of the total compensation package. In contrast, companies in regions with a lower cost of living might offer a lower base salary but compensate with other benefits. Industries such as finance or healthcare may offer higher bonuses due to the critical nature of data modeling in their operations. Larger companies often provide more comprehensive benefits packages, including health insurance, retirement plans, and professional development opportunities.

Increasing Salary

To increase your salary from a Mid-level Data Modeler position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging technologies and tools in AI/ML and data science. Proficiency in advanced machine learning algorithms, big data technologies, and cloud computing can make you more valuable.
• Advanced Education: Pursuing a master's degree or specialized certifications can enhance your qualifications and open up higher-paying opportunities.
• Networking: Engage with professional networks and communities to learn about new opportunities and trends in the industry.
• Leadership Roles: Aim for roles that involve team leadership or project management, as these often come with higher compensation.
• Industry Shift: Consider moving to industries that pay higher salaries for data modelers, such as finance, tech, or healthcare.

Educational Requirements

Most mid-level data modeler positions require at least a bachelor's degree in a related field such as computer science, data science, statistics, or mathematics. A strong foundation in these areas is crucial for understanding complex data structures and algorithms. Some positions may prefer candidates with a master's degree, especially in competitive markets or specialized industries.

Helpful Certifications

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

• Certified Data Management Professional (CDMP)
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Data Engineer
• AWS Certified Machine Learning – Specialty
• SAS Certified Data Scientist

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

Required Experience

Typically, a mid-level data modeler is expected to have 3-5 years of experience in data modeling or related fields. This experience should include hands-on work with data modeling tools, database management, and data analysis. Experience in specific industries or with particular data systems can also be advantageous.

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