Salary for Mid-level / Intermediate Data Modeler during 2024

Salary details

The average mid-level / intermediate Data Modeler salary lies between USD 98,870 and USD 120,000 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: Dec. 22, 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, Engineering and Architecture. 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:

SQL | 39 jobs Engineering | 35 jobs Architecture | 28 jobs ETL | 20 jobs Python | 18 jobs Computer Science | 18 jobs Data quality | 18 jobs RDBMS | 17 jobs Big Data | 16 jobs Azure | 16 jobs NoSQL | 15 jobs Data Warehousing | 14 jobs Agile | 14 jobs Data management | 14 jobs Data governance | 13 jobs Security | 12 jobs AWS | 11 jobs Consulting | 11 jobs Finance | 11 jobs Statistics | 11 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 Competitive pay. 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 | 31 jobs Health care | 13 jobs Competitive pay | 13 jobs Equity / stock options | 9 jobs Parental leave | 9 jobs Flex hours | 9 jobs Insurance | 8 jobs Wellness | 5 jobs Team events | 5 jobs Medical leave | 5 jobs Salary bonus | 5 jobs Startup environment | 4 jobs Flexible spending account | 3 jobs Flex vacation | 2 jobs Flat hierarchy | 2 jobs Gear | 2 jobs Relocation support | 1 jobs Fertility benefits | 1 jobs

Salary Composition for a Mid-level Data Modeler

The salary for a mid-level data modeler typically comprises a fixed 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 San Francisco or New York, the base salary might be higher due to the cost of living and competitive market. In contrast, regions with a lower cost of living might offer a smaller base salary but compensate with bonuses or stock options. 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, which can add significant value to the overall compensation package.

Steps to Increase Salary from a Mid-level Position

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 relevant to data modeling, such as machine learning frameworks, data visualization tools, and big data technologies.
• Advanced Education: Pursuing a master's degree or specialized certifications can make you more competitive 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: Seek opportunities to lead projects or teams, as leadership experience can significantly boost your earning potential.
• Industry Shift: Consider moving to industries that pay higher salaries for data modelers, such as finance, tech, or healthcare.

Educational Requirements for a Mid-level Data Modeler

Most mid-level data modeler positions require at least a bachelor's degree in a related field such as computer science, information technology, mathematics, or statistics. A strong foundation in these areas is crucial for understanding the complexities of data modeling. Some employers may prefer candidates with a master's degree, especially for roles that involve more complex data analysis and modeling tasks.

Helpful Certifications for Data Modelers

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

• Certified Data Management Professional (CDMP): Offered by DAMA International, this certification covers a broad range of data management topics.
• Microsoft Certified: Azure Data Scientist Associate: Focuses on using Azure's machine learning services.
• AWS Certified Data Analytics – Specialty: Validates expertise in using AWS data lakes and analytics services.
• Google Professional Data Engineer: Demonstrates proficiency in designing, building, and operationalizing data processing systems.

Experience Required for a Mid-level Data Modeler

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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