Choosing the Right Career Path: Software Engineer vs. Data Engineer

Although the job titles for these two data science positions, data engineer and software engineer, may sound similar, they each have their own unique responsibilities and work with various stakeholders. Software engineers construct products like apps or websites, whereas data engineers concentrate on developing frameworks and methods for data analysis.  

To assist you in your job search, we'll explain the distinctions between software engineers and data engineers in this post.

A quick guide to engineering roles

When you’re browsing for job openings, especially in data science and technology, you’ll likely see different roles that include the world “engineer.” It can be difficult to decipher the exact differences between the two roles from just reading job descriptions. Let’s take a quick look at four common engineer roles within the tech industry.

• Data engineer: Data engineers build systems that collect, manage, and convert raw data into usable information for data scientists and business analysts to interpret. Their ultimate goal is to make data accessible for organizations to optimize their performance.
• Software engineer: Software engineers, sometimes called software developers, create software for computers and applications.
• Machine learning or AI engineer: Machine learning engineers research, build, and design the AI models and algorithms responsible for improving existing AI systems. They focus only on the aspect of AI that trains machines to think like humans, since machine learning falls under AI.
• Systems engineer: A systems engineer develops and oversees repairs for systems, solving problems and innovating for improvement.

You’ll likely have heard of “engineer” roles in sectors not related to data science. Mechanical engineers build devices, machines, and tools; electrical engineers design and test the manufacturing of electrical equipment; and civil engineers design and build infrastructure.

Do you sense a theme here? Whether it’s data or robots, engineering involves applying science and mathematics to solve real world problems. That includes designing and developing innovative products and processes across industries and applications.

Software engineer vs. data engineer: what’s the difference?

The biggest difference between data engineering and software engineering is the scope of work. Data engineers build data systems and databases while software engineers create applications, software, and other products. A data engineer typically works with big data to create the infrastructure so data analysts, data scientists, and business analysts can maneuver the data for their specific needs.

Here’s a breakdown of the main differences.

Software Engineer:

• Build systems, applications, websites, and tools
• Broader role
• Users are general public
• Skills include building operating systems, coding, programming languages, storing information on databases, data modeling
• Works with designers, programmers, and developers
• Popular tools include Git, GitHub, Stack Overflow, Jira, Amazon Web Services, and more

Data Engineer:

• Build data systems and databases that can store, consolidate, and retrieve data
• Specialized role
• Users are data scientists or analysts
• Skills include coding and development, optimizing queries, distributed computing, building data pipelines, machine learning
• Works with data scientists, business analysts, project managers on a data science team
• Popular tools include Tableau, Looker, Amazon Redshift, Apache Spark, Kafka, Hadoop, Hive, and more

Key differences

Data engineers build systems for storing and retrieving the data that is required for the systems and applications that software engineers build. This field emerged as a specialized skill set from software engineering, as data engineers are responsible for making accurate data available to data scientists and analysts.  

Software engineers develop operating systems, mobile apps, and software design using front- and back-end development. These engineers operate at a broader level, building the infrastructure or platform that imports and stores the data for a website, app, or software.

Though the two career paths have similar skills, their approaches and goals are very different.  

Tasks and responsibilities

With such different end-goals, data and software engineers spend their time collaborating with different teams within the company.

Day-to-day tasks for a data engineer might include:

• Acquiring datasets that align with business needs
• Developing algorithms to transform data into actionable insights
• Building, testing, and maintaining database pipeline architectures
• Collaborating with management to fulfill company objectives
• Creating new data validation methods and data analysis tools

Day-to-day tasks for a software engineer might include:

• Designing and maintaining software systems
• Evaluating and testing new software programs
• Optimizing software for speed and scalability
• Writing and testing code
• Consulting with clients, engineers, security specialists, and other stakeholders

Skills needed to be a data and software engineer

The skills required for data and software engineers overlap. So if you’re unsure of which career path you’d like to take, there are plenty of skills you can learn right now to become job ready.

Data engineer skills:

• Coding (programming languages such as SQL, Python, Java, R, and Scala)
• Relational and non-relational databases
• ETL (extract, transform, and load) systems
• Data storage
• Automation and scripting
• Machine learning
• Big data tools, such as Hadoop, MongoDB, and Kafka
• Cloud computing

Software engineer skills:

• Coding languages like Python, Java, C, C++, or Scala
• Database architecture
• Agile and Scrum project management
• Operating systems
• Cloud computing
• Version control
• Design testing and debugging

Which type of engineering is right for me?

If you get excited about building things in the technology sector, then becoming a data engineer or a software engineer could be a good fit. Which type of engineer will depend on your unique skills and interests.

If you’re passionate about building and managing data systems to fulfill business needs or goals, then you might be better suited for a data engineer role. If you enjoy collaborating with teams to produce systems, apps, or websites, then becoming a software engineer could be more attractive.

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