Break Into Data Engineering

You don't need a computer science degree to get started in data engineering. You need a clear roadmap.

Every company runs on data. Data engineers build the pipelines, databases, and platforms that turn raw information into reliable, usable data. It's a practical, in-demand career in technology, but figuring out where to start can feel overwhelming.

Cleophas Kalekem knows this firsthand. After graduating from college without taking a database class, he began his career in technical support, taught himself SQL, Python, and PySpark, and worked his way into a senior data engineering role.

Break Into Data Engineering is the guide he wishes he'd had: a plain-English introduction to the field, the technologies behind it, and the steps you can take to prepare for a career in data engineering.

Throughout the book, you'll follow Bean & Byte, a fictional coffee company whose data challenges grow more complex as you learn. Instead of memorizing definitions in isolation, you'll see how the concepts fit together and solve real-world problems.

INSIDE THIS BOOK, YOU'LL DISCOVER HOW TO:

•Understand the field: Learn what data engineers do, how they differ from data analysts, analytics engineers, and data scientists, and how their work supports business decisions.
•Learn the fundamentals: Understand databases, SQL, data pipelines, ETL and ELT, data warehouses, lakehouses, data modeling, orchestration, and cloud computing, all in plain English.
•Navigate the technology landscape: Explore streaming, machine learning, AI, and the tools shaping modern data engineering.
•Build your learning roadmap: Follow a four-stage progression, with tailored starting points for analysts, developers, technical support professionals, students, and career changers.
•Learn around your schedule: Use practical 3-, 6-, and 12-month study plans to organize your learning, even while working full-time.
•Build projects that demonstrate your skills: Follow a step-by-step guide to creating an end-to-end data pipeline and developing a portfolio you can share with employers.
•Prepare for the job market: Learn about certifications, résumé and LinkedIn optimization, technical interviews, and stepping-stone roles that can help you enter the field.
•Grow beyond your first role: Discover how to approach your first 90 days on the job and continue developing as a data engineer.

YOU'LL ALSO GET PRACTICAL RESOURCES TO KEEP:

•A plain-English data engineering glossary
•A learning checklist to track your progress
•50 practice interview questions with answers
•A production checklist to help you think beyond getting a pipeline to run

Whether you're an analyst ready to build the systems behind your reports, a developer exploring a new specialization, a technical support professional looking for your next opportunity, or a complete beginner exploring a career in technology, this book gives you a structured place to start.

You don't have to learn every tool at once or understand the entire data ecosystem before taking your first step. Learn the fundamentals, practice the right skills, build projects, and progress with purpose.

Your starting point isn't a weakness. It's your advantage.