Are you amazed at the increased demand for Data scientists and software engineer jobs in the United States? In the era of growing technology and advanced tools, these job profiles play a vital role in creating, evaluating, managing, and monitoring crucial data. Their services aid businesses to grow potentially, and in return, employers reward them with lucrative salaries and additional perks, such as flexible work hours and opportunities for career advancement.
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In this post, we will cover data scientist vs. software engineer salary based on company, experience, and location to aid you in assessing the most remunerative career option in the United States.
Here is what we will cover in the article:
- Factors Influencing Software Engineer and Data Scientist Salary
- Average Software Engineer Salary vs. Data Scientist Salary
- Data Scientist vs Software Engineer Salary By Experience
- Data Scientist vs Software Engineer Salary By Location
- Software Engineer vs. Data Scientist Salary at FAANG Companies
- Nail Your Next Tech Interview With IK
- FAQs About Software Engineer vs Data Scientist
Factors Influencing Software Engineer and Data Scientist Salary
The salaries of software engineers and data scientists are affected by multiple factors, including
- Educational Background: Several companies are willing to offer higher salaries to individuals with master’s degrees based on their strong command of subjective knowledge and practical applications in comparison to a bachelor’s.
- Experience Level: It is well-known that the higher the experience, the higher you get paid by a company. This is because an experienced candidate can perform way better than a fresher and deliver the result efficiently. Their productivity rates are higher in comparison to the entry-level candidates, increasing their value and their salary.
- Location: Cities with higher expenses pay higher salaries in comparison to less pricey areas. Also, cities that are tech hubs offer greater pay.
- Size of the Company/Industry: The higher the gross earnings of the company or industry, the higher the range of salaries. However, companies with lower productivity rates or the ones that are new in the market offer a lower salary. Tech giants offer higher salaries in comparison to tech start-ups.
- Skills and Specialization: Certain companies seek employees who have a strong command of certain skills and specializations to make them work for their most crucial and specific tasks. For instance, correcting coding errors can be done by a skilled coding programmer, and not just any engineer.
- Training and Certifications: If a candidate is well trained for a specific program and has certification for the same, they are preferred by the company over other candidates. For instance, if a candidate received an Elite certificate from Columbia University in Python programming, a company seeking a Python programmer will prefer them over others. The certification bears testimony to their skills.
- Economic Conditions: Unemployment, aggregate demand for skilled professionals and supply, inflation, industry growth, industrial growth, government policies, international trade, global economic trends, and currency exchange rates can have a significant influence on an individual’s salary.
Average Software Engineer Salary vs. Data Scientist Salary
In the United States, the average salary of a Software Engineer is $122,547 per annum. The additional cash compensation for Software Engineers is $17,214 on average, and it ranges from $12,910 to $24,099.
In contrast, the average salary of a Data Scientist in the United States of America is $135,310 per annum. The average additional cash compensation for a Data Scientist is $22,038, and it ranges from $16,529 to $30,853.
Note that the average salaries of Software Engineers and Data Scientists kept fluctuating over time with economic conditions. However, the factors mentioned above have a significant influence on the annual average salaries of both job profiles.
Data Scientist vs Software Engineer Salary By Experience
We all are aware that salaries vary with the experience level. For instance, if we talk about data scientists vs. software engineers salaries, the trajectories are as follows:
Data Scientist vs Software Engineer Salary By Location
One of the factors that affects salaries is location. In the United States, salaries vary with cost of living. There are certain highest-paying cities for software engineers and data scientists positions. Here is an answer to your question about software engineer vs. data scientist salaries based on location.
The table suggests that the highest salary for a software engineer is in San Francisco, California, where they earn an average salary of $164,611 per annum. In contrast, Palo Alto city, in the state of California, is the highest-paying city for data scientists.
Software Engineer vs. Data Scientist Salary at FAANG Companies
FAANG companies are an ideal destination for anybody in the tech field. These companies offer higher pay, opportunities for growth, and prestige and add a significant impact on the resume.
Here, the table represents software engineer vs. data scientist salaries in the FAANG companies.
Nail Your Next Tech Interview With IK
Data science vs. software engineer salary has always been the talk of the town. With both Data Science and Software Engineering providing interesting career scopes and lucrative salaries, IK understands that choosing a specific career path necessitates intensive interview preparation.
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FAQs About Software Engineer vs. Data Scientist
Q1. Can a software engineer become a data scientist?
Yes. Software engineers looking to transition into data scientists must focus on building and excelling their skills in data mining, collection, and analysis. In addition, they must learn about the ways to implement data science algorithms in programming languages like R or Python.
Q2. Does a data scientist code like software engineers?
Knowledge of coding language can enhance the quality of data scientists’ work. Using code, data scientists can make data analysis faster and more accurate.
Q3. What are the skills required for a software engineer vs. data engineer?
A software engineer must have a strong command of programming languages, including C/C++, Python, Ruby, Go, Pearl, JavaScript and others. On the other hand, a data engineer must be skilled in machine learning, data visualization, and evaluation, along with coding.
Q4. State the difference in roles of software engineers vs. data scientists.
Software engineers work on building software and smooth operation of the same. They test, improve, and manage the software system. They are experienced in choosing the right programming languages, platforms, and architects to be used to develop the system. In contrast, data scientists collect huge databases through statistical, analytical, and programming skills.
Q5. Is data scientists a stable job?
The data scientist job profile holds immense potential for future expansion. It is the exceptional career path that only leads to a bright future and high-paying salaries.
