Data·Advanced
Data Engineer
Target role — Data Platform
Build robust pipelines and warehouses that power analytics at scale — and prove it with a deployed, tested data platform.
By the end, you'll have shipped
An end-to-end batch pipelineA dimensional warehouseAn orchestrated, tested DAGA streaming ingestion demo
Career insight
6,800+
Open roles
active openings, last 30 days
$135k
Median salary
$95k–$190k · US median base, mid-level
Very high demand
Hiring demand
steady YoY postings
No degree required
Typical entry
Skills and portfolio carry interviews
Most-requested skills
Cloud
Related roles
Analytics EngineerML EngineerBackend DeveloperPlatform Engineer
The path · 5 stages · 15 checkpoints
Stage progression
1
Programming & Systems
Solid engineering fundamentals before any pipeline.
Python & Data Structures
2.5 weeks
Linux, Git & Networking
1.5 weeks
SQL Mastery
2 weeks
2
Storage & Modelling
Where data lives and how it's shaped.
3
Pipelines & Orchestration
Move and transform data reliably, on schedule.
4
Big Data & Streaming
Scale to data that won't fit on one machine, and to real time.
5
Operate & Job Search
Quality, monitoring and the job hunt.