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Software for data engineering and engineering have a lot in common and work together. While many of the careers in these fields have some similarities, they also have different areas of expertise, which makes them distinct.

To manage large quantities of data and information in a large way, companies require experts to collect and prepare it for further analysis. These specialists are known as data engineers. Data engineers employ programming languages to create systems that gather data transform it into data and make it usable for other data specialists, like data scientists and Business Intelligence (BI) developers.

As they build their pipelines data engineers are aware of how data is modeled, stored, secured, and encoded. They could also suggest or implement methods to improve data reliability, efficiency and quality. They could, for instance assist users to seamlessly join data by introducing uniform IDs.

Once their ETL is complete Data engineers often create applications to aid others leverage the company’s information. This includes developing visualizations that highlight key data points, such as customer and employee trends, product performance, and more. They also design and maintain data platforms that employees can access through APIs or web-based interfaces such as a dashboard.

To do this they must be able to operate a variety of storage and databases. For example, they might employ SQL to query relational databases and an application like Python for more flexible and powerful ETL processes. They could also deploy an NoSQL data store such as MongoDB which provides an incredibly flexible approach to document-based managing data.