Data Modeler Salary in United States during 2023

Salary details

The average Data Modeler salary lies between USD 100,000 and USD 160,000 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: Nov. 17, 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, Engineering and Python. 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 | 55 jobs Engineering | 45 jobs Python | 34 jobs Architecture | 30 jobs Security | 28 jobs Azure | 27 jobs Consulting | 25 jobs Data warehouse | 23 jobs ETL | 22 jobs Big Data | 21 jobs Oracle | 21 jobs Machine Learning | 20 jobs Data analysis | 20 jobs AWS | 19 jobs Pipelines | 19 jobs Computer Science | 19 jobs Data Warehousing | 18 jobs Testing | 18 jobs Statistics | 17 jobs Data quality | 17 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 Startup environment. 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 | 43 jobs Health care | 35 jobs Startup environment | 18 jobs 401(k) matching | 16 jobs Flex hours | 15 jobs Team events | 10 jobs Equity / stock options | 9 jobs Salary bonus | 9 jobs Flex vacation | 7 jobs Competitive pay | 7 jobs Insurance | 5 jobs Parental leave | 3 jobs Medical leave | 3 jobs Wellness | 2 jobs Fitness / gym | 2 jobs Transparency | 2 jobs Relocation support | 2 jobs Flat hierarchy | 1 jobs Travel | 1 jobs Gear | 1 jobs

Salary Composition for Data Modelers

In the United States, the salary composition for a Data Modeler typically includes a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary is often the largest component, making up about 70-80% of the total compensation package. Performance bonuses can vary significantly depending on the company and industry, ranging from 10-20% of the base salary. Additional remuneration, such as stock options, profit-sharing, or other benefits, can account for the remaining 5-10%.

Regional differences can also impact salary composition. For instance, tech hubs like San Francisco or New York may offer higher base salaries and stock options due to the competitive job market. Industry also plays a role; financial services and tech companies often provide more lucrative bonuses compared to other sectors. Company size can influence the package as well, with larger companies typically offering more comprehensive benefits and stock options.

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 or big data platforms.
• 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 industry events to learn about new opportunities and trends.
• Leadership Roles: Aim for leadership or managerial positions within your organization, which often come with higher pay.
• Industry Shift: Consider moving to industries known for higher compensation, such as finance or tech.

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. A master's degree can be advantageous and is often preferred by employers, especially for senior roles. Courses in database management, data analysis, and software engineering are particularly relevant.

Helpful Certifications

Certifications can enhance your credentials and demonstrate expertise. Some valuable certifications for Data Modelers include:

• Certified Data Management Professional (CDMP)
• Microsoft Certified: Azure Data Scientist Associate
• IBM Certified Data Architect
• AWS Certified Data Analytics – Specialty

These certifications can validate your skills in data management, cloud platforms, and data architecture, making you a more attractive candidate.

Experience Requirements

Typically, employers look for candidates with 3-5 years of experience in data modeling or related fields. Experience with database management systems, data warehousing, and data analysis is crucial. Familiarity with specific tools and technologies, such as SQL, Python, R, and ETL processes, is often required. For senior roles, 5-10 years of experience may be necessary, along with proven leadership capabilities.

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