Online Bootcamps vs Data Engineering Course - Which One Gets You Hired? (Live Q&A)

Original Description

⬇️ Click here to learn how to land a high paying data engineering role NOW ⬇️ https://dataengineerinterviews.com/optin-yt-org?el=feb17AMA=ytorganic

In this Ask Me Anything session, I answer real questions from professionals considering a data engineering course to transition into higher-paying data roles. We discuss career changes from clinical data programming to data engineering, moving from government management into technical program management, and whether a data engineering course can truly help you land six-figure roles.

If you're wondering whether a data engineering course is worth the investment compared to online platforms like Coursera, this video breaks down exactly what separates effective data engineering course programs from self-paced learning. We cover interview preparation, behavioral questions, technical skills gaps, salary expectations, and the realistic timeline for career transitions.

Topics covered include:

1. Switching from niche technical roles to data engineering with a structured

2. data engineering course

3. Moving from non-technical management into PM/TPM roles through targeted data engineering course curriculum

4. Why personalized data engineering course support (mock interviews, application coaching, portfolio building) outperforms generic online courses

5. Real salary jumps: $165K → $350K for data engineers, $120K → $180K for technical program managers

6. The importance of interview prep that most data engineering course platforms ignore

Whether you're a senior programmer looking to upskill, a manager wanting to break into tech, or someone evaluating different data engineering course options, this AMA provides honest answers about what it really takes to land a higher-paying data role.

If you’re new to my channel, my name is Christopher Garzon. I run the top Data Engineering Academy in the country, where we help students transition into data engineering from other data professions to increase their compensation.

How I got here…

At 18 years old, I started at Boston College.

At 20, I was sneaking into graduate-level classes to take machine learning and data science courses.

At 21, I invested in a data science course from a mentor and wired him $3,000 without ever meeting him.

At 22, I landed my first job as a data analyst at Amazon, making $60,000 per year.

At 24, I became a data engineer at Amazon, increasing my salary to $100,000 and started angel investing in a couple of data companies.

At 25, I moved to a startup as a data engineer and doubled my income to $200,000 per year.

At 26, I was making about $350,000 at Lyft.

At 27, Lyft stocks went up, and my total compensation reached around $450,000. That same year, I launched the Data Engineering Academy.

For the last two and a half years, I’ve been running the Data Engineering Academy full-time, helping thousands of people transition into data engineering and significantly increase their earning potential.

To all the data professionals grinding—your journey is still being written. The bigger the obstacles, the greater the story.

Remember, don’t settle for your next job. Go for a better one.

Chris

More Resources:

- Learn Snowflake in 2 Hours: https://youtu.be/mP3QbYURT9k?si=722dm-5hvWFeOqnB

- How to Ace the Data Modeling Interview: https://youtu.be/YFVhC3SK0A0?si=YGLS3wjYHhdwYpVA

- Don't Get Replaced by AI: https://youtu.be/hMZrHIJshFU?si=aX7NeTxohBLHNZ3j

00:00:00 Introduction to AMA

00:01:52 Clinical Programmer Career Switch

00:02:26 Niche to General Tech

00:03:43 Interview Prep Requirements

00:04:39 Leveraging SQL & Python

00:05:38 17 Years Experience Concern

00:06:20 Behavioral Interview Stories

00:07:02 Manager to TPM Path

00:08:32 PM vs TPM Choice

00:09:48 Technical Knowledge Needed

00:10:27 PM to TPM Timeline

00:10:50 Project Manager Salary Jump

00:11:15 Course vs Coursera

00:12:30 Track Record Matters

00:13:48 Third-Party Reviews

00:15:28 Join Future AMAs

⬇️ Click here to learn how to land a high paying data engineering role NOW ⬇️ https://dataengineerinterviews.com/optin-yt-org?el=feb17AMA=ytorganic