Writing from our team. The latest news, insights, and resources.
Referring a friend to something you genuinely believe in is one of the simplest yet most powerful ways to create opportunities. With that in mind, we’re excited to introduce the Data Engineer Academy Referral Program—a way to reward you for sharing the benefits of industry-leading data engineering training with the people you know. We designed...
In today’s digital world, both individuals and businesses require a powerful website. However, finding a trustworthy hosting company is an important step in creating a website. Amazon Web Services (AWS) EC2 provides a strong and scalable infrastructure for hosting websites, making it a great alternative for your hosting requirements. Step-by-step instructions for how to host...
Incremental data loading is an approach to data integration that transfers only the new or changed records from one database or data source to another, rather than moving the entire data set. This method is especially beneficial in environments where data changes frequently and data volumes are large, as it significantly reduces the amount of...
Data engineers often use Apache Superset to build and manage data pipelines, ensuring that the right data is available and structured correctly for visualization. They also configure the data connections, optimize performance, and ensure that the dashboards are scalable. However, data analysts are key users of Apache Superset, utilizing the platform to create detailed dashboards...
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat...
If you work with data or you are trying to break into data engineering, Azure is one of the clearest paths to high pay in 2025. Companies keep moving analytics and AI workloads into Azure, and they need people who can move, model, and govern that data safely. This is great news for you. Azure...
Mastering PySpark is a game-changer if you’re aiming for a data engineering role. As companies deal with ever-growing data, they need engineers who can use PySpark to process big data efficiently. That’s why PySpark skills often show up in data engineer interviews. Knowing how to work with PySpark not only boosts your confidence but also...
Python is the backbone of modern data engineering. As one of the most versatile and in-demand programming languages, Python is a cornerstone for solving data challenges and building efficient pipelines. You might feel confident after a few Python classes or scripts, but day-to-day data engineering will quickly reveal gaps in your Python mastery. Many junior...
Are you a software engineer, data analyst, or machine learning enthusiast looking to transition into Data Engineering? You’re not alone. As companies increasingly rely on data-driven decision-making, the demand for skilled Data Engineers is skyrocketing. The Data Engineer Academy provides comprehensive resources for professionals looking to transition into Data Engineering. This guide will walk you...
The landscape of data engineering is on the cusp of a significant transformation, driven by the emergence of AI Agents and autonomous data systems. These innovative technologies are poised to revolutionize the way data is processed, analyzed, and utilized, enabling organizations to make more informed decisions and drive business growth. Discover the latest AI tools...
System design for data engineers is no longer optional – it’s now the cornerstone of delivering robust, AI-driven data solutions in 2025. As data platforms become increasingly complex and AI applications become ubiquitous in analytics and products, data engineers must elevate their system design capabilities. In this comprehensive guide (building on our Beginner’s Guide to System Design),...
Fall 2025 is a fantastic time to be a data engineer. After a rollercoaster few years, demand for data engineering talent is surging again. The biggest names in tech – and even some old-school giants – are scrambling to fill data roles to power their next wave of innovation. But which employers are leading the...
Quick takeaways: First, check out our students’ actual pay increases by reading the inspiring testimonies of career changers who increased their income after upskilling. In around five years, the income trajectory of one data engineer increased from about $60,000 to about $500,000. Negotiations and strategic employment changes (such as taking advantage of new offers and...
The field of AI is exploding and behind every intelligent system is a robust data pipeline built by skilled data engineers. Businesses are currently vying for AI Data Engineers who can manage data, implement AI models, and maintain complex data infrastructure. These positions are so in-demand that seasoned Data Engineers frequently command salaries of $150K+....
Imagine that you have mastered SQL for years, creating dependable dashboards and robust ETL pipelines. All of a sudden, ChatGPT, vector databases, and retrieval-augmented generation (RAG) are the talk of the industry. You may be wondering if your abilities will still be useful in this brave new AI world if you’re a data professional considering...
How do you turn a data engineering portfolio into an actual paycheck? In the competitive 2025 hiring landscape, the answer is simple: show, don’t tell. Hiring managers are swamped with resumes listing Python, SQL, and cloud experience. What really makes you stand out is proof that you can use those skills to build real, working...