What are some good laptops for programming as a data engineer

Programming as a data engineer requires a reliable and powerful laptop that can handle complex tasks and large datasets. With the many available options, choosing the right laptop that meets your specific requirements can be overwhelming. 

So every data scientist wonders What are some good laptops for programming as a data engineer?

As a data engineer, your laptop should have a powerful processor, sufficient RAM, fast storage, and a reliable graphics card to handle data processing, coding, and running resource-intensive applications. 

Additionally, a comfortable keyboard, high-resolution display, and good battery life are also essential factors to consider. Let’s dive into the key considerations and recommended laptops for data engineers.

In this article, I will explore some of the best laptops suitable for programming as a data engineer and key Considerations for Data Engineering Laptops. 

Key Considerations for Data Engineering Laptops

When selecting a laptop for data engineering, there are several key factors to keep in mind:

Processing Power

Data engineering tasks often involve working with large datasets and running complex computations. 

A laptop with a powerful processor, such as an Intel Core i7 or i9 or an AMD Ryzen 7 or 9, is recommended. These processors have multiple cores and high clock speeds, enabling faster data processing and multitasking.

RAM (Random Access Memory)

For efficient data processing and running multiple applications simultaneously, a minimum of 16GB RAM is recommended. More RAM allows for smoother performance when working with large datasets and performing memory-intensive operations.


Data engineers deal with important data, so ample storage is essential. Solid State Drives (SSDs) offer faster data access and faster program loading times than traditional Hard Disk Drives (HDDs). Opting for a laptop with at least 512 GB SSD storage is advisable.

Graphics Card

While only essential for some data engineering tasks, a dedicated graphics card can significantly accelerate certain operations, such as data visualization and machine learning. 

Look for laptops with NVIDIA GeForce or AMD Radeon graphics cards for improved performance in these areas.

Display and Resolution

A high-resolution display allows for better data visualization and coding. Aim for a laptop with at least a Full HD (1920×1080) display. Some laptops also offer 4K resolution, which can enhance the visual experience.

Battery Life

As a data engineer, you might need to work on the go or in environments without easy access to power outlets. 

A laptop with good battery life ensures you can work for long periods without plugging in the charger. Eight hours is good battery life, so considering this factor is also essential.

Must consider all these factors to answer efficiently: What are some good laptops for programming as a data engineer? Besides, here are some laptops that fulfill most of the data engineering requirements.

Must Read: What Are Some Good Laptops For Data Visualization And Dashboard Creation?

Recommended Laptops for Data Engineers

Now, let’s explore some of the best laptops available for programming as a data engineer:

Apple MacBook Pro M2 Chip

Credit: Amazon

The Apple MacBook Pro is one of the best laptops among data engineers due to its powerful performance and sleek design. It has well-suited features for demanding programming tasks. 

It comes with an M2 chip, Apple’s next-generation processor designed for enhanced performance and power efficiency. 

With its high number of cores and advanced architecture, the M2 chip can provide excellent processing power, allowing you to handle resource-intensive programming and data engineering workloads efficiently.

Furthermore, it provides fast and spacious solid-state drives (SSD) with a capacity of 256GB, giving you ample storage space for your programming projects and data.

The particular laptop features a high-resolution Retina display of 13 inches that offers excellent color accuracy and sharpness. 

The vibrant and detailed display enhances your coding and data analysis experience, making reading and working with complex code, visualizations, and datasets easier.

Moreover, this model has good battery life, allowing you to work for extended periods without constantly recharging. This can be particularly beneficial when working on the go or in situations where access to power outlets is limited.

Reason to buy

  • Runs smoothly 
  • Performs multiple tasks at an efficient speed
  • Excellent battery life 

Reason not to buy

  • has only 2 USB-C ports

Also See: What Is The Ideal Screen Size For A Laptop As A Data Engineer?

Acer Aspire 5 A515-56-36UT

Credit: Amazon

The Acer Aspire 5 A515-56-36UT is another good laptop for programming as a data engineer. It comes with decent specifications that can handle most programming tasks related to data engineering. 

It has an 11th-generation Intel Core i3 processor, which provides sufficient processing power for data engineering tasks. Moreover, it typically comes with 4GB of RAM, sufficient for most programming tasks. 

However, if you work with large datasets or run resource-intensive processes, upgrading to 16GB or more would be beneficial. At the same time, it offers a solid-state drive (SSD) with a capacity of 128 GB.

The particular laptop has a 15.6-inch Full HD display, which provides ample screen real estate for coding and data analysis. A higher resolution display or dual monitor setup could enhance productivity further.

Also, it often comes with Windows 10 pre-installed, a widely used operating system for programming that offers good compatibility with development tools and software.

Reason to buy

  • The screen is bright and vivid
  • the Thunderbird 4 port supports USB charging which is a good feature
  • Super thin and lightweight

Reason not to buy

  • the overall construction of the laptop feels less durable compared to higher-end models

Check This: What Type Of Storage Should Choose For Laptop As Data Engineer?

Auusda 15.6″ Laptop w/AMD Ryzen 7 3700U

Credit: Amazon

The AMD Ryzen 7 3700U is a quad-core processor with eight threads, providing ample processing power for programming tasks. The clock speed of this laptop is 4 GHz. It offers a good balance between performance and power efficiency.

This particular laptop may come with 16GB of RAM. Having this much RAM is beneficial if you work with large datasets or run memory-intensive applications.

It typically includes a solid-state drive (SSD) with a capacity of 512 GB. An SSD offers faster data access and can significantly improve the performance of your programming workflow.

The laptop features a 15.6-inch display, which provides a decent screen size for coding and data analysis. It ensures that the display resolution is at least Full HD (1920×1080) to view your code and data comfortably.

The AMD Ryzen 7 3700U has integrated Vega graphics, which can handle most programming tasks. 

However, if you work with graphics-intensive applications or plan to do gaming or GPU-accelerated machine learning, you might consider a laptop with a dedicated graphics card.

It’s worth noting that while the Asus laptop with an AMD Ryzen 7 3700U offers good specifications for programming, the specific requirements of your data engineering tasks may vary. 

Consider the software, frameworks, and datasets you’ll be working with to ensure that the laptop meets your needs.

Reason to buy

  • Doesn’t slow down the operation while running the latest windows
  • The device itself is very light and portable
  • It doesn’t overheat

Reason not to buy

  • Does not have a USB-C port 

Must See: The Ultimate Guide To Choosing A Budget Laptop For Data Science

Lenovo 2022 Yoga 7i 2-in-1 Laptop 

Credit: Amazon

The 2022 Lenovo Yoga 7i 2-in-1 laptop offers a potent combination of performance, flexibility, and features that can meet the programming requirements of a data engineer. 

The 2-in-1 design of the Yoga 7i allows you to use it as a traditional laptop or flip the screen to utilize it as a tablet. This flexibility can benefit different programming scenarios, such as taking notes, drawing diagrams, or using touch-based tools.

It has the Latest 12th Generation Intel Core i7-1255U 10-Core processor.  These processors have multiple cores and high clock speeds, allowing for efficient multitasking and handling of resource-intensive tasks.

In addition to that, it offers memory configurations of 16 GB, allowing for smooth multitasking and handling large datasets. The storage options generally include solid-state drives (SSD) with a capacity of 1TB, providing fast storage access for your programming projects and data.

Also, it provides a range of connectivity options, including USB Type-A and Type-C ports, HDMI, and an audio jack. These ports enable you to connect external devices, monitors, and peripherals required for your data engineering tasks.

Reason to buy

  • A fast and reliable laptop
  • offers versatility for different programming scenarios
  • features a high-resolution display 

Reason not to buy

  • may get warm during intensive tasks

Recommended: Best Laptop For Data Engineer With Comprehensive Buying Guide

Factors to Consider When Choosing a Laptop

Now it has become clear to you: “What are some good laptops for programming as a data engineer?”. When making a final decision on which laptop to purchase as a data engineer, consider the following factors:

  • Set a realistic budget for your laptop purchase and consider the trade-offs between performance and cost. Determine your specific requirements and allocate your budget accordingly, balancing the desired specifications with the available funds.
  • Consider the laptop’s portability, weight, size, and battery life. Look for lightweight and compact laptops that offer long battery life, enabling you to work efficiently while on the move.
  • Check the operating system (OS) compatibility with the tools and software you commonly use in data engineering. Windows and macOS are popular choices, each with strengths and a software ecosystem.
  • Ensure that the laptop’s OS aligns with your preferences and the tools required for your data engineering work.
  • Look for laptops with robust build quality and reliable construction materials that endure frequent travel, temperature variations, and potential physical impacts.
  • Data engineers often need to connect their laptops to various devices and peripherals. Ensure that the laptop has sufficient ports for connecting external devices or peripherals.
  • Choose a laptop with reliable warranties and customer support for peace of mind.

Frequently Asked Questions (FAQs)

Question No 1. Can I use a budget laptop for data engineering tasks?

Answer: Budget laptops can handle basic programming tasks, but data engineering often requires processing power and ample RAM. Investing in a laptop with better specifications for smoother performance is advisable.

Question No 2. Do I need a dedicated graphics card for data engineering?

Answer: A dedicated graphics card can significantly enhance certain operations like data visualization and machine learning. However, it’s optional for all data engineering tasks.

Question No 3. Can I use a MacBook for data engineering?

Answer: Yes, MacBooks are popular among data engineers due to their reliable performance, sleek design, and compatibility with various programming tools and languages.

Question No 4. What is the ideal display size for a data engineering laptop?

Answer: Display size preferences vary among individuals. A 15-inch laptop is a common choice as it balances portability and screens real estate.

Question No 5. How often should I upgrade my laptop as a data engineer?

Answer: The frequency of laptop upgrades depends on your specific needs and technological advancements. Generally, upgrading every 3-5 years ensures you have access to the latest hardware and software capabilities.


Selecting the right laptop for programming as a data engineer is crucial for productivity and efficiency. 

While searching “What are some good laptops for programming as a data engineer?”, consider your specific requirements, such as processing power, RAM, storage, graphics, display, and battery life, to make an informed decision. 

There are many other laptops, including the Apple MacBook Pro, Dell XPS 15, HP Spectre x360, Lenovo ThinkPad X1 Extreme, ASUS ROG Zephyrus G14, Razer Blade 15, and LG Gram, which offer excellent performance and features for data engineering tasks.

Ultimately, the best laptop for programming as a data engineer will depend on your specific requirements, budget, and personal preferences. 

Carefully evaluate the features, compare different models, and read reviews from trusted sources before making a final decision.

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