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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...
The demand for skilled data engineers is skyrocketing in 2025, as businesses double down on their reliance on data-driven decisions and emerging tech like AI. With opportunities growing faster than ever, the right data engineering course can be your ticket to a thriving career. But let’s face it — choosing from the countless data engineering...
Switching careers to data engineering? You’re not alone — this field is booming with opportunity, and AWS sits at the heart of modern data workflows. Getting started can feel intimidating, though, especially with so many AWS services, best practices, and technical details to keep straight. Many newcomers stumble over the same basics, wasting time and...
Thinking about switching careers to data engineering? You’re not alone. With thousands going after every open role, standing out isn’t easy — especially when you’re balancing learning with everything else in your life. There’s a big debate right now: do you jump into a bootcamp, or should you look for something more personalized? If the...
Thinking about a new career in data engineering? You’re not alone — this field is booming, and for good reason. In 2025, the global data engineering market is projected to reach over $106 billion, with experienced professionals in the US earning anywhere from $82,000 to well over $146,000, and top roles going past $200,000. Despite...
Strong AI skills set the foundation for success in data engineering, especially for career changers entering this field. The rapid growth of AI means professionals must be ready to learn new tools and techniques at a steady pace to stay current. In the US, data engineers can earn an average salary of over $120,000, making...
System design — it’s a term that might sound intimidating at first, but it’s really all about creating scalable, efficient, and reliable systems. For new developers, understanding system design is essential for tackling real-world engineering problems and acing those high-stakes interviews. This guide is here to make things simple while covering the basics you need...
Preparing for a data engineering interview in 2025? If Python is part of your toolkit, you’re already on the right track. As one of the most versatile and in-demand programming languages, Python is a cornerstone for solving data challenges and building efficient pipelines. Recruiters want to see how well you can navigate real-world problems while...