Data scientists can't work without clean pipelines — data engineers build them. Strong, steady demand and a clear on-ramp from software or analytics.
Gold = credential gate. Each turn: more skill → more pay → the next step.
1
Learn SQL, Python, data modeling
A CS/analytics base + strong SQL and Python.
◆ GMA Academy — data courses
2
Master pipeline tools
Spark, cloud data warehouses (Snowflake/BigQuery), orchestration (Airflow).
◆ GMA jobs + mentor
3
Enter as a data/analytics engineer
Build ETL/ELT and data models.
4
Own data pipelines · $139K
Own the pipelines the whole data team relies on.
5
Grow to platform / architect
Data platform engineering or database architecture.
The flywheel: every pipeline you build becomes infrastructure others depend on, so your value compounds as the data (and the systems that need it) grow.
