Data Developer Salary in United States during 2023

Salary details

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

SQL | 66 jobs Python | 63 jobs Spark | 47 jobs Big Data | 41 jobs Engineering | 40 jobs ETL | 34 jobs AWS | 32 jobs Pipelines | 32 jobs Azure | 30 jobs PySpark | 26 jobs Architecture | 26 jobs Databricks | 26 jobs Java | 23 jobs Computer Science | 22 jobs Agile | 21 jobs Kubernetes | 19 jobs Testing | 19 jobs Scala | 18 jobs Jira | 18 jobs Kafka | 17 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 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:

Career development | 55 jobs Health care | 29 jobs Flex hours | 17 jobs Fitness / gym | 17 jobs Startup environment | 17 jobs Equity / stock options | 14 jobs Competitive pay | 14 jobs Flex vacation | 10 jobs Insurance | 9 jobs Salary bonus | 9 jobs Medical leave | 8 jobs 401(k) matching | 7 jobs Parental leave | 7 jobs Team events | 7 jobs Wellness | 6 jobs Home office stipend | 3 jobs Transparency | 2 jobs Conferences | 2 jobs Fertility benefits | 2 jobs Lunch / meals | 1 jobs

Salary Composition

In the United States, the salary composition for a Data Developer in AI/ML/Data Science typically includes a base salary, performance bonuses, and sometimes additional remuneration such as stock options or profit-sharing. The base salary is the fixed component and usually constitutes the majority of the total compensation package. Performance bonuses can vary significantly depending on the company’s policy and the individual’s performance, often ranging from 5% to 20% of the base salary. Additional remuneration like stock options is more common in tech companies, especially startups or large tech firms, and can be a significant part of the compensation package.

The composition can vary based on region, industry, and company size. For instance, tech hubs like Silicon Valley or New York City might offer higher base salaries and more lucrative stock options compared to other regions. Industries such as finance or healthcare may offer higher bonuses due to the critical nature of data in their operations. Larger companies might provide more comprehensive benefits and stock options, while smaller companies might offer higher base salaries to attract talent.

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 up higher-paying opportunities and leadership roles.

• Certifications: Obtaining relevant certifications can demonstrate your expertise and commitment to the field, potentially leading to salary increases.

• Networking: Building a strong professional network can lead to new job opportunities with higher pay. Attend industry conferences, join professional groups, and engage in online forums.

• Performance and Negotiation: Consistently perform well in your current role and be prepared to negotiate your salary during performance reviews or when offered a new position.

Educational Requirements

Most Data Developer roles in AI/ML/Data Science require at least a bachelor’s degree in computer science, data science, statistics, mathematics, or a related field. A strong foundation in programming, data structures, and algorithms is essential. Some positions, especially those in research or advanced analytics, may require a master’s degree or Ph.D. in a relevant discipline.

Helpful Certifications

Certifications can enhance your resume and demonstrate your expertise. Some common and beneficial 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 potential employers.

Experience Requirements

Typically, a Data Developer role requires 2-5 years of experience in data-related positions. Experience with data modeling, ETL processes, and working with large datasets is often necessary. Familiarity with programming languages such as Python, R, or SQL, and experience with data visualization tools and machine learning frameworks are also commonly required.

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