Data Developer Salary in 2023

💰 The median Data Developer Salary in 2023 is USD 97,500

✏️ This salary info is based on 10 individual salaries reported during 2023

Salary details

The average Data Developer salary lies between USD 85,500 and USD 120,681 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.

Job title: Data Developer

Experience: all levels

Region: global/worldwide

Salary year: 2023

Sample size: 10

Top 10%: $ 130,000

Top 25%: $ 120,681

Median: $ 97,500

Bottom 25%: $ 85,500

Bottom 10%: $ 69,139

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 Developer roles

The three most common job tag items assiciated with Data Developer job listings are SQL, Python and Spark. 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:

Top 20 Job Perks/Benefits for Data Developer roles

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

Salary Composition

The salary for a Data Developer in AI/ML/Data Science typically comprises a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually forms the bulk of the total compensation package. Bonuses can vary significantly depending on the company's performance, individual performance, and industry standards. In tech hubs like Silicon Valley, bonuses and stock options might be more substantial compared to other regions. Larger companies or those in high-demand industries like finance or tech may offer more competitive packages, including comprehensive benefits such as health insurance, retirement plans, and professional development opportunities.

Steps to Increase Salary

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

Skill Enhancement: Continuously update your skills in emerging technologies and tools relevant to AI/ML and data science. Specializing in niche areas can make you more valuable.
Advanced Education: Pursuing a master's degree or Ph.D. in a related field can open up higher-paying opportunities.
Networking: Engage with professional networks and communities to learn about new opportunities and trends.
Certifications: Obtain relevant certifications to validate your skills and increase your marketability.
Leadership Roles: Aim for leadership or managerial roles that come with higher responsibilities and pay.

Educational Requirements

Most Data Developer roles in AI/ML/Data Science require at least a bachelor's degree in computer science, data science, mathematics, statistics, or a related field. A strong foundation in programming, data structures, and algorithms is essential. Some positions may prefer candidates with a master's degree or higher, especially for roles involving complex data modeling or machine learning.

Helpful Certifications

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

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 help you stand out in the job market and may lead to better job opportunities and higher salaries.

Required Experience

Typically, employers look for candidates with 2-5 years of experience in data development or related fields. Experience with data analysis, database management, and programming languages such as Python, R, or SQL is often required. Familiarity with machine learning frameworks and tools like TensorFlow, PyTorch, or Scikit-learn is also beneficial. Experience in specific industries can be advantageous, as it provides domain knowledge that can be critical for certain roles.

Related salaries

Data Developer @ $ 97,500 (global) - Mid-level / Intermediate Details

Data Developer @ $ 97,500 (United States) - Mid-level / Intermediate Details

Data Developer @ $ 97,500 (United States) Details

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