In 2017, The Economist proclaimed data to be the most valuable resource. Today, the omnipresence of data is not just a byproduct of technological advancement but the very fuel that drives it. In the heart of this data-centric universe stand two critical roles: data engineers and software engineers. While both are pivotal in the architecture of our digital world, their functions, skill sets, and ultimate goals are distinctly unique.
As companies vie to harness the power of data, understanding the nuanced differences between these roles is not just beneficial but imperative. This distinction is crucial as Forrester’s report highlights that 91% of executives face a significant hurdle not in the lack of tools, but in the scarcity of specialized talent capable of unlocking the full potential of data. By delineating the roles of data engineers and software engineers, we can bridge the gap between the burgeoning data landscape and the experts who sculpt it.
The tech industry is a mosaic of specialized roles, each with its unique set of skills and responsibilities, yet some titles are often mistakenly interchanged. Backend engineers and backend developers, for instance, may sound interchangeable but encompass distinct functions.
Similarly, there’s a common misconception among hiring managers that software engineers and data engineers are cut from the same cloth, owing to their programming prowess.
However, despite sharing a foundation in coding, the paths they tread diverge significantly when it comes to their day-to-day duties and long-term objectives. The responsibilities that distinguish these professions are crucial for organizations to understand in order to effectively utilize the unique capabilities each role brings to the technological table.
What is a Data Engineer?
Data engineers specialize in setting the necessary infrastructure for data, collection, analysis, synthesis, insight, and modeling. They are responsible for finding data trends and developing algorithms to make raw data useful for companies.
Often, companies produce and receive data but have no idea how to analyze it. And most of this data is useful to gain valuable insights in terms of customers, competitor research, product/service performance, etc. This is where the role of a data engineer becomes more relevant as they are responsible for the development and maintenance of an organization’s data infrastructure.
A software data engineer also optimizes data retrieval and develops dashboards, reports, and other useful insights for stakeholders.
Main Responsibilities of a Data Engineer
- Develop, test, and maintain data architectures
- Align architecture with business requirements
- Build data set processes
- Use programming languages and tools
- Find patterns using data
- Deploy sophisticated analytics programs, machine learning, and statistical methods
Data Engineer Skills
- Understanding of programming languages such as Java, Python, R, Ruby, Scala, and SQL. (Python, R, and SQL are considered the most important ones)
- Experience working with ETL/ELT tools and REST-oriented APIs needed for data integration.
- Data systems and platform knowledge such as MySQL, NoSQL databases, and Apache Spark systems.
- Familiarity with machine learning skills.
- Understanding of Docker and Kubernetes.
What is a Software Engineer?
Software engineers are computer science experts in engineering principles and programming languages that design, build, test, and maintain software products.
In software engineering, there are many sub specializations; however, there are two main categories: application software engineers and systems software engineers.
Applications software engineers are responsible for creating internal or external applications that users can interact with. On the other hand, systems software engineers focus on developing and maintaining an organization’s computer systems.
Main Responsibilities of a Software Engineer
- Modify existing software applications
- Create new software applications
- Analyze, design, and maintain software systems
- Integrate existing software products
- Create technical specifications
- Maintain systems by monitoring and correcting software defects
- Ensure software quality
Software Engineer Skills
- Testing and debugging skills
- In-depth understanding of programming languages such as Python, Java, Scala, C++, among others
- Object-oriented design (OOD)
- Familiarity with UI toolkits and frameworks
- Experience working with source code and version repository
- Understanding of computer architecture, operating systems, and data structures
Data Engineer vs Software Engineer: Key Differences
There are two main differences between SDE vs. SWE:
1) Their Goals
Both data engineers and software engineers share many similarities. Both require in-depth knowledge of programming language and overall computer science. However, while the roles are complementary, they are not interchangeable.
In the first place, software engineering has many sub-roles, while data engineering is one of its sub-roles. Software engineers focus primarily on building software products and developing the right platforms, while data engineers focus on making accurate data available to users.
Even if you have talented data engineers, they need to have reliable software to implement their models, and software engineers build these models. On the other hand, tasks such as data management, data architecture, and data modeling are the core responsibilities of data engineers which you need to recruit if you don’t have them in your team.
2) Their Approaches
Data engineers and software engineers have different approaches to solving problems.
Software engineers, for instance, often have one place for all logic so they don’t have to add extra logic layers downstream, while data engineers will probably put more logic on the SQL side.
Data engineers often strongly rely on tables and SQL, while software engineers lean on Python and other programming languages.
Data Engineer vs Software Engineer Salary
The salaries in software careers always depend on several factors such as location, level of expertise, and experience. But generally, the salary of a data engineer is higher than the salary of a software engineer.
Here’s a table with the different salaries of both roles in the United States according to various sources:
| Source | Software Engineer Annual Salary | Data Engineer Annual Salary |
| Indeed | $121,219 | $116,499 |
| Glassdoor | $108,249 | $112,739 |
| Payscale | $93,145 | $93,145 |
| Talent | $111,820 | $122,966 |
Summary
In short, what makes a software engineer vs. a data engineer different from one another is that software engineers focus primarily on building software applications and systems while data engineers manage data infrastructure.
Both careers share similarities, such as knowledge of programming languages or background in computer science; however, the roles and responsibilities are different.