Salary for Mid-level / Intermediate Data Developer during 2023

Salary details

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

The salary for a Mid-level/Intermediate Data Developer in AI/ML/Data Science typically consists of a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually makes up the majority of the total compensation package. Performance bonuses can vary significantly depending on the company’s policy and individual performance, often ranging from 5% to 20% of the base salary. Additional remuneration might include stock options, especially in tech companies or startups, and benefits like health insurance, retirement plans, and professional development allowances. The composition can vary by region, with tech hubs like Silicon Valley offering higher base salaries and stock options, while other regions might offer more balanced packages. Industry also plays a role; for instance, finance and tech industries often provide higher bonuses compared to academia or non-profits. Company size can influence the package as well, with larger companies typically offering more comprehensive benefits and smaller companies potentially offering more equity.

Increasing Salary

To increase your salary from this position, consider pursuing advanced roles such as Senior Data Scientist, Data Science Manager, or Machine Learning Engineer. Gaining expertise in high-demand areas like deep learning, natural language processing, or big data analytics can make you more valuable. Networking within the industry and attending conferences can open up opportunities for higher-paying roles. Additionally, obtaining a master's degree or specialized certifications can enhance your qualifications. Negotiating your salary during performance reviews or when taking on additional responsibilities can also lead to an increase. Exploring opportunities in different industries or regions where salaries are higher can be another effective strategy.

Educational Requirements

Most mid-level 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 competitive markets or for roles with a strong emphasis on research and development. A solid foundation in programming, statistics, and data analysis is essential, and coursework in machine learning, data mining, and database management is highly beneficial.

Helpful Certifications

Certifications can enhance your resume and demonstrate your commitment to professional development. Some valuable certifications include:

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

These certifications can validate your skills in specific tools and platforms, making you more attractive to potential employers.

Required Experience

Typically, a mid-level data developer role requires 3-5 years of experience in data science, machine learning, or a related field. Experience with data analysis, statistical modeling, and machine learning algorithms is crucial. Proficiency in programming languages such as Python, R, or SQL, and experience with data visualization tools like Tableau or Power BI are often required. Experience working with large datasets and familiarity with cloud platforms like AWS, Azure, or Google Cloud can also be advantageous.

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