Data Modeler Salary in 2024

Salary details

The average Data Modeler salary lies between USD 100,000 and USD 146,000 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. 15, 2024

Salary trend

Top 20 Job Tags for Data Modeler roles

The three most common job tag items assiciated with Data Modeler job listings are SQL, Architecture and Engineering. 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 | 211 jobs Architecture | 150 jobs Engineering | 145 jobs Computer Science | 115 jobs ETL | 104 jobs Security | 98 jobs Data governance | 98 jobs Data Warehousing | 86 jobs Data quality | 86 jobs Agile | 84 jobs Data management | 82 jobs Azure | 79 jobs Python | 70 jobs Snowflake | 70 jobs Data warehouse | 65 jobs AWS | 64 jobs Data analysis | 63 jobs NoSQL | 62 jobs RDBMS | 60 jobs Oracle | 59 jobs

Top 20 Job Perks/Benefits for Data Modeler roles

The three most common job benefits and perks assiciated with 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 2024 and the number of open jobs that where offering them during that period:

Career development | 155 jobs Health care | 102 jobs Flex hours | 58 jobs Competitive pay | 54 jobs Insurance | 44 jobs Equity / stock options | 36 jobs Team events | 36 jobs Flex vacation | 30 jobs Startup environment | 30 jobs Parental leave | 27 jobs Wellness | 23 jobs Salary bonus | 23 jobs 401(k) matching | 19 jobs Medical leave | 13 jobs Relocation support | 12 jobs Transparency | 9 jobs Flexible spending account | 8 jobs Paid sabbatical | 5 jobs Gear | 4 jobs Fitness / gym | 4 jobs

Salary Composition for a Data Modeler

The salary composition for a Data Modeler can vary significantly based on factors such as region, industry, and company size. Typically, the salary is divided into three main components: a fixed base salary, a performance-based bonus, and additional remuneration such as stock options or benefits.

• Fixed Base Salary: This is the guaranteed annual income and usually constitutes the largest portion of the total compensation package. In regions with a high cost of living, such as the San Francisco Bay Area or New York City, the base salary tends to be higher to compensate for living expenses.

• Bonus: Performance-based bonuses are common and can range from 10% to 20% of the base salary, depending on the company's performance and the individual's contribution. In industries like finance or tech, bonuses might be more substantial.

• Additional Remuneration: This can include stock options, especially in tech startups, or other benefits like health insurance, retirement plans, and paid time off. Larger companies might offer more comprehensive benefits packages.

Steps to Increase Salary

To increase your salary from a 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, big data technologies, and cloud computing.

• Advanced Education: Pursuing a master's degree or a Ph.D. in a related field can open up higher-paying opportunities and leadership roles.

• Networking: Engage with professional networks and communities. Attending conferences and joining industry groups can lead to new opportunities and insights into higher-paying roles.

• Leadership Roles: Aim for positions with more responsibility, such as a team lead or managerial role, which typically come with higher compensation.

Educational Requirements

Most Data Modeler positions require at least a bachelor's degree in a related field such as Computer Science, Information Technology, Mathematics, or Statistics. However, a master's degree is often preferred, especially for roles in competitive industries or larger companies. Advanced degrees can provide a deeper understanding of complex data systems and analytical techniques.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise:

• Certified Data Management Professional (CDMP): This certification is highly regarded in the data management field and covers a broad range of data-related topics.

• Microsoft Certified: Azure Data Scientist Associate: Useful if you are working with Microsoft's Azure platform.

• AWS Certified Data Analytics – Specialty: Beneficial for those working with Amazon Web Services.

• Google Professional Data Engineer: Ideal for professionals working with Google Cloud Platform.

Experience Requirements

Typically, a Data Modeler position requires 3-5 years of experience in data analysis, database management, or a related field. Experience with specific data modeling tools and technologies, such as SQL, Python, R, and data visualization tools, is often required. Experience in a particular industry can also be advantageous, as it provides domain-specific knowledge.

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