Salary for Mid-level / Intermediate Data Modeler in United States during 2024

Salary details

The average mid-level / intermediate Data Modeler salary lies between USD 100,000 and USD 125,000 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: Dec. 22, 2024

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 in the United States typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary often constitutes the majority of the total compensation package, usually around 70-80%. Performance bonuses can vary significantly depending on the company and industry, ranging from 10-20% of the total compensation. Additional remuneration, such as stock options, profit-sharing, or other benefits, can make up the remaining 5-10%.

Regional differences also play a role; for instance, tech hubs like San Francisco or New York may offer higher base salaries but with a higher cost of living. Industry-wise, tech companies and financial services often provide more lucrative packages compared to non-tech industries. Larger companies might offer more comprehensive benefits and stock options, while smaller companies might focus more on base salary and bonuses.

Steps to Increase 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 relevant to AI/ML and data science. Proficiency in advanced machine learning algorithms, big data technologies, and cloud platforms 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 and Professional Development: Attend industry conferences, join professional organizations, and engage in networking to increase your visibility and learn about new opportunities.

• Leadership and Management Skills: Developing skills in project management and leadership can position you for roles with greater responsibility and higher pay.

• Negotiation: When offered a new position or during performance reviews, negotiate for higher pay based on your contributions and market research.

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. Some employers may prefer candidates with a master's degree, especially for roles that involve complex data modeling and analysis. A strong foundation in mathematics and statistics is crucial, as is proficiency in programming languages like Python or R.

Helpful Certifications

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

• Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights.

• Microsoft Certified: Azure Data Scientist Associate: Demonstrates your skills in using Azure's machine learning services.

• AWS Certified Machine Learning – Specialty: Shows proficiency in building, training, and deploying machine learning models on AWS.

• Google Professional Data Engineer: Certifies your ability to design, build, and operationalize data processing systems.

Experience Requirements

Typically, a mid-level data modeler is expected to have 3-5 years of experience in data modeling, data analysis, or a related field. Experience with data warehousing, database management, and data visualization tools is often required. Practical experience in handling large datasets and familiarity with machine learning frameworks can be advantageous.

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