Writing from our team. The latest news, insights, and resources.
As data engineering continues to gain traction in the tech world, misinformation and outdated beliefs are holding too many aspiring professionals back. Whether it’s about needing a computer science degree or thinking you have to master every tool on the planet, these myths can derail your progress before you even begin. At Data Engineer Academy,...
Breaking into data engineering has never been more achievable — or faster. In 2025, data engineering is poised to become one of the most in-demand and lucrative tech careers, with companies across various industries competing to hire skilled professionals. But what if you could go from beginner to hired data engineer in as little as...
As a data engineer (or aspiring one), you face a pivotal career choice: join a tech giant or a nimble startup? Both paths offer incredible opportunities, yet they differ in key ways. At Data Engineer Academy, we often hear the question of FAANG vs. startups – which is the better path for a data engineering...
Building a real-world data pipeline may seem daunting, especially for beginners. But with the right tools and a clear roadmap, you can set up a functioning end-to-end project on your own Windows machine. In this guide, we’ll walk you through the process of using VS Code, Docker Desktop, and WSL (Windows Subsystem for Linux) to create a comprehensive data...
Modern Natural Language Processing (NLP) offers powerful transformer-based models, such as GPT and BERT, which each excel in different areas. If you’re exploring AI projects, understanding the architectures, capabilities, and ideal applications of these models will help you choose the right tool for the job. In this article, we provide a neutral comparison of GPT and BERT, with clear explanations...
Every learner starts from a different place. Maybe you’re brand new to databases, or perhaps you’ve dabbled in analytics and want to solidify your SQL skills for engineering tasks. At Data Engineer Academy, the first step is understanding your starting point. We conduct a thorough skill gap analysis to identify what you know and what...
Docker is a platform designed to simplify the process of developing, shipping, and running applications by using container technology. Containers are lightweight, consistent environments that encapsulate everything an application needs to function, regardless of the underlying system. They enable developers to package their software with all required dependencies, ensuring it runs seamlessly across different computing...
Are you considering a switch to data engineering and wondering how AI might fit in? You’re not alone. As AI technologies surge in popularity, the demand for skilled data engineers is rising in tandem. In fact, data engineering roles are projected to grow by 21% by 2028, adding hundreds of thousands of positions. This growth...
Mistakes are an inevitable part of any profession, and data engineering is no exception. Even the most experienced data engineers can fall into traps that affect the quality of data, disrupt project timelines, and ultimately impact business outcomes. The key to mastering your craft is not just in acknowledging that mistakes can happen but in...
In the ever-evolving world of data engineering, efficiency is king. With the rise of AI tools like ChatGPT, data professionals have new ways to automate tedious tasks and supercharge their workflows. For aspiring data engineers and seasoned pros alike, leveraging ChatGPT in your data pipelines can save time, reduce errors, and let you focus on...
Preparing for a data engineering role? If so, you’ve likely heard that system design interviews are a big hurdle. In data engineering interviews, this isn’t about designing a generic web app or a social network – it’s about architecting data systems: think scalable pipelines, data warehouses, streaming platforms, and the like. These interviews test how...
Landing a data engineering role at Grubhub, a leader in the food delivery industry, demands more than just a cursory understanding of SQL. As the backbone of any data-related role, SQL is the primary tool used to manage, manipulate, and analyze data efficiently. In this guide, we’ll explore not only the types of SQL questions...
Ever since tools like ChatGPT shocked the tech world with human-like conversations and code generation, a new wave of AI “agents” has emerged. These autonomous agents promise to handle complex tasks – from writing SQL queries to fixing pipeline errors – with minimal human intervention. If you’re a data engineer or an aspiring one (especially...
In 2025, the enterprise adoption of large language models is skyrocketing as businesses double down on AI-driven automation and smarter data pipelines. With these powerful models becoming more accessible, data engineers have more opportunities than ever to elevate Extract-Load-Transform processes with intelligence. But let’s face it — figuring out how to weave LLMs into your...