Salary for Mid-level / Intermediate Data Developer during 2024

Salary details

The average mid-level / intermediate Data Developer salary lies between USD 84,615 and USD 145,000 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 2024 and the number of open jobs that where associated with them during that period:

SQL | 75 jobs ETL | 64 jobs Python | 58 jobs Engineering | 50 jobs Big Data | 48 jobs Spark | 43 jobs Pipelines | 40 jobs AWS | 38 jobs Azure | 36 jobs Computer Science | 30 jobs Architecture | 29 jobs Hadoop | 27 jobs Git | 27 jobs Databricks | 27 jobs Agile | 26 jobs Research | 24 jobs Data pipelines | 23 jobs Testing | 22 jobs Data quality | 21 jobs CI/CD | 20 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 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 | 51 jobs Health care | 38 jobs Fitness / gym | 25 jobs Flex hours | 24 jobs Competitive pay | 12 jobs Equity / stock options | 9 jobs Parental leave | 9 jobs Flex vacation | 6 jobs Startup environment | 6 jobs Team events | 6 jobs Insurance | 6 jobs Salary bonus | 6 jobs Medical leave | 5 jobs Wellness | 4 jobs Gear | 2 jobs Unlimited paid time off | 2 jobs 401(k) matching | 1 jobs Travel | 1 jobs Transparency | 1 jobs Snacks / Drinks | 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 policies and individual performance metrics. Additional remuneration might include stock options, especially in tech companies, or 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 in bonuses. Industry also plays a role; for instance, finance and tech industries often provide higher compensation packages compared to academia or non-profits. Company size can influence this as well, with larger companies typically offering more comprehensive benefits and bonuses.

Steps to Increase Salary

To increase your salary from this position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging technologies and tools in AI/ML and data science. 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 relevant certifications can enhance your qualifications and open up higher-paying opportunities.
• Networking: Engage with professional networks and communities. This can lead to new job opportunities and insights into industry trends.
• Leadership Roles: Seek opportunities to lead projects or teams, as management roles often come with 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 developer roles require at least a bachelor's degree in a relevant field such as computer science, data science, statistics, or engineering. A strong foundation in mathematics and programming is essential. Some positions may prefer candidates with a master's degree, especially in competitive markets or specialized roles.

Helpful Certifications

Certifications can bolster your resume and demonstrate 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 validate your skills in specific tools and platforms, making you more attractive to employers.

Required Experience

Typically, a mid-level data developer role requires 3-5 years of experience in data science or a related field. This experience should include hands-on work with data analysis, machine learning models, and data visualization tools. Experience in programming languages such as Python, R, or SQL is often required, along with familiarity with data processing frameworks like Hadoop or Spark.

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