Data Developer Salary in United States during 2024

Salary details

The average Data Developer salary lies between USD 90,146 and USD 145,000 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. 24, 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 | 279 jobs Python | 219 jobs ETL | 188 jobs Engineering | 180 jobs Pipelines | 179 jobs Spark | 161 jobs Big Data | 141 jobs Azure | 141 jobs AWS | 139 jobs Architecture | 112 jobs Data pipelines | 104 jobs Data quality | 97 jobs Databricks | 95 jobs Agile | 91 jobs Computer Science | 88 jobs Testing | 84 jobs Research | 82 jobs CI/CD | 80 jobs Java | 80 jobs Security | 77 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 | 196 jobs Health care | 127 jobs Fitness / gym | 112 jobs Flex hours | 74 jobs Competitive pay | 46 jobs Parental leave | 43 jobs Startup environment | 34 jobs Team events | 33 jobs Equity / stock options | 32 jobs Flex vacation | 25 jobs Insurance | 20 jobs Wellness | 19 jobs Transparency | 16 jobs Medical leave | 14 jobs Salary bonus | 14 jobs Home office stipend | 7 jobs Relocation support | 6 jobs Travel | 4 jobs Gear | 4 jobs Unlimited paid time off | 4 jobs

Salary Composition

In the United States, the salary composition for a Data Developer in AI/ML/Data Science typically includes a fixed base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary often constitutes the majority of the total compensation package, ranging from 70% to 85%. Performance bonuses can vary significantly depending on the company and industry, often comprising 10% to 20% of the total salary. Additional remuneration, such as stock options, is more common in tech companies and startups, potentially making up 5% to 10% of the total compensation. Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York City tend to be higher due to the cost of living and competitive job market. Larger companies may offer more comprehensive benefits and bonuses, while smaller companies might provide more equity-based compensation.

Increasing 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 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, meetups, and workshops can lead to new opportunities and insights into industry trends.
• Leadership Roles: Aim for leadership or managerial roles within your organization, which typically come with higher pay.
• Switching Companies: Sometimes, moving to a different company can result in a significant salary increase, especially if you leverage offers from other employers.

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, especially those in research or advanced analytics, may require a master's degree or Ph.D. in a relevant discipline.

Helpful Certifications

While not always mandatory, certain certifications can enhance your credentials and demonstrate 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 competitive candidate.

Experience Requirements

Typically, a Data Developer role requires 2 to 5 years of experience in data-related positions. Experience with data modeling, ETL processes, and working with large datasets is often expected. Familiarity with AI/ML frameworks and tools, such as TensorFlow, PyTorch, or Scikit-learn, is also beneficial. Experience in a specific industry, like finance, healthcare, or e-commerce, can be advantageous depending on the job.

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