Do data engineers need C++?

Data engineers do not typically need C++ in most roles. The primary languages used in data engineering are Python, Java, Scala, and SQL, as they are well-suited for building data pipelines, processing large datasets, and interacting with databases and big data frameworks like Apache Spark or Hadoop.

However, there are a few specific scenarios where C++ might be useful for data engineers:

1. High-Performance Systems

If you're working in environments that require extremely high-performance data processing, such as low-latency systems or real-time analytics in industries like finance or quantitative trading, C++ might be used due to its speed and efficiency in handling large volumes of data.

• Example: In high-frequency trading systems, where data processing speed is critical, C++ is sometimes used to minimize latency.

2. Custom Big Data Tools or Frameworks

Some custom data processing tools or distributed systems are written in C++ for performance reasons. For example, certain components of Apache Hadoop and Google’s Bigtable are implemented in C++, so having knowledge of the language can be useful if you're working on the low-level optimization or extension of these systems.

• Example: If you need to extend or modify a low-level data processing system or framework that is written in C++, familiarity with the language might be required.

3. Embedded Systems and IoT

In industries dealing with IoT (Internet of Things) or embedded systems, C++ can be necessary for data engineers working with devices that collect and transmit data in real-time.

• Example: A data engineer working in IoT may need to interface with sensors or embedded systems, which are often programmed in C++ due to hardware constraints.

Conclusion

For most data engineering roles, C++ is not necessary. The majority of data engineers use languages like Python, Java, Scala, and SQL, which are more aligned with building data pipelines, processing data at scale, and interacting with databases. C++ is only needed in specific high-performance or specialized environments, so unless your role involves these areas, you likely won't need to invest time in learning C++.