Data Developer Salary in 2024

Salary details

The average Data Developer salary lies between USD 84,200 and USD 143,000 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.

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Dec. 15, 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 ETL. 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 | 300 jobs Python | 244 jobs ETL | 201 jobs Engineering | 191 jobs Pipelines | 191 jobs Spark | 176 jobs Big Data | 156 jobs Azure | 147 jobs AWS | 146 jobs Architecture | 127 jobs Data pipelines | 111 jobs Data quality | 103 jobs Agile | 102 jobs Databricks | 100 jobs Computer Science | 95 jobs Testing | 92 jobs Java | 88 jobs CI/CD | 87 jobs Research | 86 jobs Security | 83 jobs

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 Fitness / gym. 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 | 216 jobs Health care | 137 jobs Fitness / gym | 119 jobs Flex hours | 81 jobs Competitive pay | 53 jobs Parental leave | 43 jobs Team events | 38 jobs Equity / stock options | 34 jobs Startup environment | 34 jobs Flex vacation | 26 jobs Insurance | 25 jobs Wellness | 20 jobs Transparency | 17 jobs Medical leave | 17 jobs Salary bonus | 16 jobs Relocation support | 7 jobs Home office stipend | 7 jobs Travel | 4 jobs Gear | 4 jobs Unlimited paid time off | 4 jobs

Salary Composition

The salary composition for a Data Developer in AI/ML/Data Science can vary significantly based on region, industry, and company size. Typically, the salary is divided into a fixed base salary, performance bonuses, and additional remuneration such as stock options or benefits. In tech hubs like Silicon Valley or New York, the base salary might be higher due to the cost of living and competitive market. In contrast, regions with a lower cost of living might offer a smaller base salary but compensate with bonuses or stock options. Industries such as finance or healthcare may offer higher bonuses due to the critical nature of data in their operations. Larger companies often provide more comprehensive benefits packages, including health insurance, retirement plans, and professional development opportunities, which can add significant value to the overall compensation.

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in the latest AI/ML technologies and tools. Specializing in high-demand areas like deep learning, natural language processing, or big data analytics can make you more valuable.
• Advanced Education: Pursuing a master's degree or Ph.D. in a related field can open doors to higher-level positions and salary brackets.
• Networking: Engage with professional networks and communities. Attending conferences, workshops, and meetups can lead to new opportunities and insights into industry trends.
• Leadership Roles: Aim for leadership or managerial roles within your organization. These positions often come with higher salaries and additional responsibilities.
• Negotiation Skills: Improve your negotiation skills to better advocate for salary increases during performance reviews or when switching jobs.

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, especially for roles involving complex data analysis or machine learning model development.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your 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 potential employers.

Required Experience

Typically, employers look for candidates with 2-5 years of experience in data development or a related field. Experience with data manipulation, database management, and familiarity with AI/ML frameworks and libraries is crucial. Hands-on experience with real-world data projects, either through previous employment or personal projects, is highly valued.

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