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These Are The 10 Highest-Paying Tech Jobs Right Now

When deciding between employment offers or a professional route, compensation plays a critical role. The top ten highest-paying IT occupations are shown below, along with information on expected responsibilities, educational qualifications, and necessary skills that employers are looking for, based on Indeed salary data.

10. Full-Stack Developer 

Full stack developer

Base Salary on Average: $126,102

The front-end (client side) and back-end (server side) components of websites, mobile applications, and other computer programmes are created by full-stack developers.

Qualifications: A bachelor's degree in computer science, software development, or software engineering is the minimal requirement for the majority of full-stack engineers. These web developers oversee the entire software lifecycle and possess the generalist knowledge necessary to build a complete online application.

Relevant Proficiencies: AWS, Heroku, Azure, APIs, C, C++, Lisp, Python, Git, Github, MongoDB, Oracle, HTML, CSS, JavaScript, MySQL, SQL, PostgreSQL, MongoDB, Oracle,

9. Data Engineer Average

Base salary: $126,737

Work Summary: Data engineers create systems that facilitate metadata, data transformation, data structures, and workload and dependency management. These procedures gather, organise, and transform unprocessed data into meaningful information for data scientists and business analysts to interpret. Organizations can leverage this data to evaluate and optimize their performance.

Qualifications: Data engineers need at least a bachelor's in computer science, engineering or a related field. They may also have certifications from company courses like IBM, Microsoft and Google. Data engineering isn’t usually an entry-level role. Instead, many data engineers start as software engineers or business intelligence analysts. As you advance your career, you may move into managerial positions or become a data architect, solutions architect or machine learning engineer.

Relevant Skills: SQL, NoSQL, PostgreSQL, Python, Redshift, Panoply, Hadoop, Spark, AWS, Azure, Kafka

8. Mobile developers

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