Data Modeler Salary in United States during 2024

Salary details

The average Data Modeler salary lies between USD 105,000 and USD 146,000 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. 24, 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 | 198 jobs Architecture | 140 jobs Engineering | 136 jobs Computer Science | 107 jobs ETL | 100 jobs Data governance | 96 jobs Security | 95 jobs Data Warehousing | 80 jobs Data quality | 80 jobs Agile | 77 jobs Data management | 77 jobs Azure | 70 jobs Snowflake | 66 jobs Python | 64 jobs NoSQL | 62 jobs AWS | 61 jobs Data warehouse | 61 jobs RDBMS | 57 jobs Big Data | 56 jobs Oracle | 56 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 | 145 jobs Health care | 98 jobs Flex hours | 53 jobs Competitive pay | 50 jobs Insurance | 42 jobs Team events | 36 jobs Equity / stock options | 33 jobs Startup environment | 30 jobs Flex vacation | 28 jobs Parental leave | 26 jobs Salary bonus | 19 jobs Wellness | 18 jobs 401(k) matching | 16 jobs Relocation support | 12 jobs Medical leave | 12 jobs Transparency | 9 jobs Flexible spending account | 7 jobs Paid sabbatical | 5 jobs Gear | 4 jobs Fitness / gym | 4 jobs

Salary Composition for Data Modelers

In the United States, the salary composition for a Data Modeler in AI/ML/Data Science can vary significantly based on factors such as region, industry, and company size. Typically, the salary is composed of a fixed base salary, which forms the bulk of the compensation package. This base salary can range from 70% to 85% of the total compensation. In addition to the base salary, bonuses are common and can account for 10% to 20% of the total package. These bonuses are often performance-based and can vary depending on the company's financial health and individual performance metrics. Additional remuneration may include stock options, especially in tech companies or startups, and other benefits such as health insurance, retirement contributions, and professional development allowances. In regions with a high cost of living, such as the San Francisco Bay Area or New York City, salaries tend to be higher to compensate for living expenses. Similarly, larger companies or those in high-demand industries like finance or technology may offer more competitive compensation packages.

Steps to Increase Salary

To increase your salary further from a Data Modeler position, consider the following strategies:

• Skill Enhancement: Continuously update and expand your skill set, particularly in emerging technologies and tools relevant to 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 Ph.D. in a related field can open up higher-level positions and increase earning potential.

• Networking and Professional Visibility: Attend industry conferences, participate in webinars, and contribute to professional forums. Building a strong professional network can lead to new opportunities and salary negotiations.

• Leadership Roles: Seek opportunities to lead projects or teams. Demonstrating leadership skills can position you for promotions to managerial roles, which typically come with higher salaries.

• Company Change: Sometimes, moving to a different company, especially one that values your specific skill set more highly, can result in a significant salary increase.

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 and can be a significant advantage. Degrees in data science, machine learning, or artificial intelligence are particularly relevant. Coursework in database management, data analysis, and programming languages like Python or R is highly beneficial.

Helpful Certifications

While not always mandatory, certain certifications can enhance your credentials and demonstrate expertise to potential employers. Some valuable certifications include:

• Certified Data Management Professional (CDMP): Offered by DAMA International, this certification validates your skills in data management and modeling.

• Microsoft Certified: Azure Data Scientist Associate: This certification is beneficial if you work with Microsoft's Azure platform.

• AWS Certified Machine Learning – Specialty: Ideal for those working with Amazon Web Services, this certification demonstrates proficiency in building, training, and deploying machine learning models on AWS.

• Google Professional Data Engineer: This certification is useful for those working with Google Cloud Platform.

Experience Requirements

Typically, a Data Modeler position requires 3 to 5 years of experience in data modeling, data analysis, or a related field. Experience with database management systems, data warehousing, and ETL processes is often necessary. Familiarity with data modeling tools such as ER/Studio, ERwin, or IBM InfoSphere Data Architect is also commonly required. Experience in a specific industry, such as finance, healthcare, or technology, can be advantageous depending on the employer.

Related salaries

Want to contribute?