How to become a Data Engineer

A data engineer works with data; but it’s more complex than that. Working as a data engineer involves processing data and developing algorithms to make it much more useful and accessible than the raw material.

Those becoming a data engineer must have great numerical skills and a keen interest in digits and systems. The job involves processing difficult data into nice, easy to process, algorithms and reports. While it is similar to data science, data engineering is more about the technology behind data and algorithms than the numbers.

If you’re wondering how to become a data engineer, you’ll need to start with strong developer skills. The person must have an interest in data, and also in the technical side of algorithms.

A degree is beneficial, but not required; the data engineer roadmap shows it is much more desirable to have relevant experience, as a lot of the learning is done on the job. For applicants with no experience, it is recommended to have personal projects that demonstrate skills in the field.

There is a high demand for data engineers – it is one of linked in’s top growing jobs, with roles growing 650% in the last 8 years. This gives people in the field a lot of job security. Data engineer’s salaries are typically very good.