Salary for Mid-level / Intermediate Data Developer in United States during 2023

Salary details

The average mid-level / intermediate Data Developer salary lies between USD 72,409 and USD 100,000 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 Mid-level / Intermediate Data Developer roles

The three most common job tag items assiciated with mid-level / intermediate Data Developer job listings are SQL, ETL 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 | 17 jobs ETL | 13 jobs Python | 11 jobs PySpark | 9 jobs Engineering | 9 jobs Oracle | 8 jobs Testing | 8 jobs Computer Science | 8 jobs Hadoop | 7 jobs Spark | 7 jobs Pipelines | 7 jobs Bitbucket | 7 jobs Jira | 7 jobs Jupyter | 7 jobs Big Data | 6 jobs Linux | 6 jobs Data Analytics | 6 jobs Azure | 6 jobs Talend | 6 jobs Git | 6 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Data Developer roles

The three most common job benefits and perks assiciated with mid-level / intermediate Data Developer 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 2023 and the number of open jobs that where offering them during that period:

Career development | 11 jobs Health care | 6 jobs Competitive pay | 5 jobs Flex hours | 4 jobs Startup environment | 4 jobs Equity / stock options | 3 jobs Flex vacation | 3 jobs Fitness / gym | 3 jobs Team events | 2 jobs 401(k) matching | 1 jobs Wellness | 1 jobs Travel | 1 jobs Gear | 1 jobs Insurance | 1 jobs Salary bonus | 1 jobs Home office stipend | 1 jobs Flexible spending account | 1 jobs

Salary Composition

In the United States, the salary composition for a Mid-level/Intermediate Data Developer in AI/ML/Data Science typically includes a base salary, 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%. Bonuses can vary significantly depending on the company and industry, ranging from 5-20% of the base salary. Additional remuneration, such as stock options or profit-sharing, is more common in tech companies and startups, potentially adding another 5-10% to the total compensation. Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York City tend to be higher due to the cost of living and competitive job markets.

Increasing Salary

To increase your salary from a Mid-level/Intermediate position, consider the following steps:

• Skill Enhancement: Continuously update your skills in emerging technologies and tools in AI/ML, such as deep learning frameworks, cloud computing, and big data technologies.
• Advanced Education: Pursuing a master's degree or specialized certifications can make you more competitive.
• Networking: Engage with professional networks and communities to learn about new opportunities and trends.
• Leadership Roles: Seek opportunities to lead projects or teams, which can position you for promotions to senior roles.
• Industry Switch: Consider moving to industries that offer higher pay for data roles, such as finance or healthcare.

Educational Requirements

Most Mid-level/Intermediate Data Developer roles require at least a bachelor's degree in a relevant field such as Computer Science, Data Science, Statistics, or Mathematics. Some positions may prefer or require a master's degree, especially in more competitive markets or specialized roles. A strong foundation in programming, data analysis, and machine learning is essential.

Helpful Certifications

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

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Data Engineer
• AWS Certified Machine Learning – Specialty
• TensorFlow Developer Certificate

These certifications can validate your skills and knowledge, making you a more attractive candidate to employers.

Required Experience

Typically, a Mid-level/Intermediate Data Developer is expected to have 3-5 years of experience in data-related roles. This experience should include hands-on work with data analysis, machine learning models, and programming languages such as Python or R. Experience with data visualization tools and cloud platforms is also beneficial.

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