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Career Mistakes Costing Data Engineers $50K Per Year

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Manage episode 495669800 series 3678766
Content provided by Chris Gambill | Gambill Data. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Chris Gambill | Gambill Data or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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Are you a data engineer stuck in a mid-level role, wondering why your career isn’t advancing as fast as your skills? In this video, Chris Gambill breaks down the three invisible mistakes that hold back 80% of data engineers from landing senior positions and big salary jumps. Learn how to avoid the technology trap, visibility gap, and impact illusion—and discover actionable strategies to boost your career, increase your salary, and stand out to decision makers.
What you’ll learn:
The 3 biggest career mistakes data engineers make (and how to avoid them)
Why technical skills alone aren’t enough for promotions
How to make your work visible and valued by managers
The “career ceiling” framework for breaking into senior and leadership roles
A step-by-step action plan to start moving up today
Timestamps:
0:00 – Why most data engineers get stuck
0:30 – The career ceiling framework
1:00 – Mistake #1: The Technology Trap
2:00 – Mistake #2: The Visibility Gap
3:00 – Mistake #3: The Impact Illusion
4:00 – Your action plan for career growth
4:30 – What’s next: Salary negotiation strategies
Subscribe for more data engineering career tips and strategies!

Support the show

Chris Gambill is a data engineering consultant and educator with 25+ years of experience helping organizations modernize their data stacks. As founder of Gambill Data, he specializes in data strategy, cloud migration, and building resilient analytics platforms for mid-market and enterprise clients. He’s passionate about making real-world data engineering accessible.

Connect with Chris on LinkedIn or learn more at gambilldata.com.

  continue reading

27 episodes

Artwork
iconShare
 
Manage episode 495669800 series 3678766
Content provided by Chris Gambill | Gambill Data. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Chris Gambill | Gambill Data or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Send us a text

Are you a data engineer stuck in a mid-level role, wondering why your career isn’t advancing as fast as your skills? In this video, Chris Gambill breaks down the three invisible mistakes that hold back 80% of data engineers from landing senior positions and big salary jumps. Learn how to avoid the technology trap, visibility gap, and impact illusion—and discover actionable strategies to boost your career, increase your salary, and stand out to decision makers.
What you’ll learn:
The 3 biggest career mistakes data engineers make (and how to avoid them)
Why technical skills alone aren’t enough for promotions
How to make your work visible and valued by managers
The “career ceiling” framework for breaking into senior and leadership roles
A step-by-step action plan to start moving up today
Timestamps:
0:00 – Why most data engineers get stuck
0:30 – The career ceiling framework
1:00 – Mistake #1: The Technology Trap
2:00 – Mistake #2: The Visibility Gap
3:00 – Mistake #3: The Impact Illusion
4:00 – Your action plan for career growth
4:30 – What’s next: Salary negotiation strategies
Subscribe for more data engineering career tips and strategies!

Support the show

Chris Gambill is a data engineering consultant and educator with 25+ years of experience helping organizations modernize their data stacks. As founder of Gambill Data, he specializes in data strategy, cloud migration, and building resilient analytics platforms for mid-market and enterprise clients. He’s passionate about making real-world data engineering accessible.

Connect with Chris on LinkedIn or learn more at gambilldata.com.

  continue reading

27 episodes

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