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...
Data engineering is pivotal in enabling businesses to collect, process, and store vast amounts of data — making it accessible for analysis, reporting, and decision-making. This growing demand has transformed data engineering into one of the most desirable career paths in the tech world. However, with the increasing competition for data engineering positions, it’s essential...
Data engineering salaries in 2026 are strong, but your true earning potential depends on a few variables that salary “averages” can’t capture: experience band, location (or remote), specialization (especially AI/ML-adjacent work), and total compensation structure (bonus + equity). This pillar guide gives you answer-first 2026 benchmarks, skill premiums you can quantify, a career progression map, and practical...
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...
Data modeling interviews can feel unfair at first. You get a prompt like “increase engagement at DoorDash,” and you’re expected to turn that into a clean set of tables, keys, and relationships under time pressure. The good news is that the best candidates don’t win by memorizing patterns. They win by showing a clear way...
Artificial intelligence is no longer a distant innovation — it’s now a driving force behind how organizations store, process, and extract value from data. As AI becomes deeply embedded into modern businesses, hiring managers in 2025 are no longer asking, “Does this person know AI?” They’re asking, “Is this person ready to work with AI?”...
In data engineering, the choice between Apache Kafka and Amazon SQS can feel like picking the right tool for two very different jobs. Kafka is synonymous with real-time data streaming and event-driven architecture, making it the backbone of many high-throughput systems that require speed, scalability, and fault tolerance. It’s the preferred choice for complex data...
Starting in software engineering can be both exciting and overwhelming. Many of us step into this world with dreams of creating groundbreaking applications and thriving in a high-paying, fast-paced industry. But the reality of the day-to-day work can often be quite different from what we imagine. I remember my early days — struggling with code,...
Data science and data engineering are both high-paying, in-demand careers in 2026—but they often reward different things (modeling impact vs. production scale). This matters because the “higher-paying” choice depends on whether you’re comparing base salary, total compensation, or top-of-market FAANG-style packages. In this guide, you’ll get verified 2026 salary benchmarks, SF/NY hub comparisons, total comp examples, and a decision framework to pick the...
AI systems can automate and improve the production of queries using SQL, working with artificial intelligence (AI) methods, including NLP, machine learning, and optimization. Both technical and non-technical users may profit from creating accurate and reliable SQL queries. AI-generated SQL has the potential to improve the effectiveness of queries by expediting the inquiry creation process,...
Artificial intelligence is evolving fast, from generating text and images to writing code and automating complex workflows. As AI continues to reshape industries, many professionals are asking an urgent question: “Will AI replace data engineers?” At Data Engineer Academy, we hear this question almost daily. It’s understandable. With headlines warning of mass automation and tools...
Your data engineering resume is getting rejected before anyone even reads it. After reviewing thousands of technical resumes as a hiring manager, I’ve noticed most candidates make the same critical mistakes that doom their applications from the start. Unfortunately, even highly skilled engineers struggle with this reality. The typical data engineering resume sample I receive...
Navigating the interview process for a data engineering role can be a daunting journey, marked by complex technical challenges and the need to showcase one’s problem-solving prowess, technical knowledge, and soft skills under pressure. As data engineering continues to evolve at a rapid pace, candidates are often faced with the task of mastering a broad...
Learning SQL online is one of the fastest ways to break into data engineering, analytics, and backend development. SQL is the language used to query, transform, and manage data in relational databases — and it remains a core skill in technical interviews and real-world jobs. This guide gives you a clear, structured path to learn...
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...