A Data Engineer can work remotely because many of their tasks, such as creating and maintaining data pipelines, can be accomplished using online tools. Another significant advantage is the ability to collaborate with team members who may be located hundreds of kilometers away. All that's needed is a reliable internet connection to ensure effective communication and collaboration.

Data Analyst: A person whose job is to gather and interpret data to solve specific problems.

Business Intelligence Analyst: A BI analyst examines data to provide market and financial intelligence reports.

Machine Learning Engineer: An engineer who programs and designs software that can automate artificial intelligence and machine learning (AI/ML) models.

The highest salary for a Data Engineer varies depending on the country where they work, years of experience, and their expertise in areas such as validating and preparing high-quality data, evaluating and optimizing performance, and designing, constructing, maintaining, and troubleshooting an organization's data architecture. With this level of expertise, salaries can range from $175.000 USD

If you lack skills such as validating and preparing high-quality data, evaluating and optimizing performance, and designing, constructing, maintaining, and troubleshooting an organization's data architecture, you may earn a lower yearly salary, typically around $110.000 USD depending on the country where you work, years of experience, degree, and knowledge.

Normally, you can start your career with a bachelor's degree in computer science, software engineering, information technology, or a related field. However, many companies prefer a master's degree in data science or a related discipline. Data analysts and data engineers usually need a bachelor's degree.

AI and machine learning, Data engineers have to learn how to use machine learning algorithms (often known as models) to be able to create predictions based on present and past data.

Communication Skills, Data engineers have to be able to communicate with both technical and non-technical partners to understand their goals and needs at work.

Programming Skills, Programming knowledge helps engineers to be flexible and versatile when they are handling different types of data.