Data Engineer | Employee vs Consultant (4 differences)
You don’t have to be a full time employee to join a data team.
Nowadays, it’s common to be a consultant or contractor.
But how do you know which route is better for you?
Fortunately, I’ve been on both sides of this dynamic over the last few years and can report back.
So today I’ll share 4 key differences between life as an employee vs consultant to help you decide which is best for you:
- On-boarding
- Final Decisions
- Career Paths
- Money
Thank you for watching!
►► The Starter Guide for The Modern Data Stack (Free PDF)
Simplify the “modern” data stack + better understand common tools & components → bit.ly/starter-mds
Timestamps:
0:00 - Intro
0:33 - On-Boarding Process
1:48 - Making Final Decisions
2:25 - Setting a Career Path
4:32 - Getting Paid
Title & Tags:
Data Engineering as an Employee vs Consultant (4 differences)
#kahandatasolutions #dataengineering #dataconsulting
►► The Starter Guide for The Modern Data Stack (Free PDF)→ bit.ly/starter-mds Simplify “modern” architectures + better understand common tools & components
I enjoy watching your content, keep up the good work! 😊 It's worth noting the differences between a freelance consultant and a corporate consultant. I moved from a consulting position as a data engineer to an internal development team. The key advantages were improved compensation, a healthier work-life balance, and more decision-making power.
Thanks!
Could you tell based on your experience how much difference between Consultant and Employee? Triple or double the pay of employee in general? I know it depends, but in general...
Can you please tell me why would I write sql using dbt when I can write all the transformation logic in the warehouse of choice itself. Of curse I wouldn’t get version control and lineage graph but is that all what dbt offers? Thanks for the clarification