Data Modeler vs. Data Engineer: What Are the Differences?

Data modelers and data engineers are both essential roles in the field of data science. Though they share some similarities, there are several key differences between the two positions. In this article, we discuss the differences between a data modeler and a data engineer, and we provide additional information on each role.

What is a Data Modeler?

Data Modelers work with Data Architects and Database Developers to design and implement data models. Data Modelers analyze business requirements and create conceptual, logical and physical data models. They design database tables, columns and relationships and document data flow and dependencies. Data Modelers also create data dictionaries and map data elements to business objects. They may also be responsible for developing data cleansing and data migration scripts. Data Modelers typically work in the IT department of large organizations.

What is a Data Engineer?

Data Engineers design, build and maintain the complex systems that collect and store data for organizations. Data Engineers work with Data Scientists to understand what data is needed and how it can be collected efficiently. They also work with software engineers to design and build the data processing pipelines that clean, transform and load data into data warehouses. Data Engineers typically have a strong background in computer science and experience with big data technologies such as Hadoop, Spark and NoSQL databases.

Data Modeler vs. Data Engineer

Here are the main differences between a data modeler and a data engineer.

Job Duties

Data modelers create databases that allow companies to store and retrieve information. They work with business leaders to determine the type of data an organization needs, then design a database structure that meets those requirements. Data engineers oversee the daily operations of existing databases, ensuring they run smoothly and troubleshooting when there are issues. They also monitor database usage to ensure employees are accessing the correct information and track any security concerns.

Job Requirements

Data modelers typically need at least a bachelor’s degree in computer science, information systems or another related field. Data engineers often need a similar educational background, although some employers may prefer candidates with a master’s degree in computer science or engineering. Additionally, both data modelers and data engineers should be proficient in programming languages like SQL, Java and Python. They should also have experience working with big data platforms, such as Hadoop and Spark.

Work Environment

Data modelers and data engineers work in different environments. Data modeling is a more technical role, so they typically work in an office or lab environment where they can access the necessary technology to complete their tasks. They may also travel to meet with clients or other stakeholders to discuss projects and requirements.

Data engineers often work in a more industrial setting, such as a manufacturing facility or power plant. Their job duties require them to travel to these locations to install and maintain equipment that supports the company’s IT infrastructure.

Skills

Both data modelers and data engineers use technical skills to perform their jobs, including programming languages like SQL, statistical analysis and database management. They also both need to have strong problem-solving skills to identify issues with data sets and develop solutions to address those issues.

Data modelers benefit from having strong visualization skills that enable them to create models that clearly communicate complex information. They also need to be able to effectively communicate with other members of a data team, as they often collaborate with others to develop models. Data engineers need similar communication skills to coordinate with different teams within an organization, as their job often involves integrating data from multiple sources.

Data engineers also benefit from having strong organizational skills, as they are responsible for managing large data sets. They need to be able to effectively plan and execute projects to ensure that data is properly collected, stored and accessed.

Salary

Data modelers can earn an average salary of $100,799 per year, while data engineers can earn an average salary of $113,717 per year. Both of these average salaries may vary depending on the size of the company at which you work, location of your job and the level of experience you have prior to pursuing either position.