Also called: Big Data Engineer, ETL Developer
Builds the pipelines and warehouses that collect, clean, and move huge amounts of data so others can use it.
You build a pipeline that pulls sales data from 400 stores every hour, checks it for errors, and loads it into a warehouse. When a dashboard shows wrong numbers, you trace the problem back through the plumbing.
Estimate; BLS groups with database architects.
Approximate: anchored on Bureau of Labor Statistics data for a broader job group.
Bachelor's degree (4-year), about 4 years after high school. Bachelor's in CS, engineering, or IT.
Ways in: 4-year college, Self-taught, Certification. Training cost: $15k – $60k.
Majors to look at: Computer Science, Information Systems, Data Science.
Growing much faster than average. Not separately projected; demand is high because AI systems need clean data.
Medium risk for 10 years. AI writes pipeline code and SQL quickly; designing reliable data systems across messy sources stays human.
Classes: AP Computer Science A, AP Statistics, Computer applications.
Official data: O*NET occupation 15-1243.
Career Universe is an early version. Pay, training and AI-risk figures are estimates to start your own research, not verified facts. The research was written with AI research assistants, checked by validation scripts and spot-checked by hand. Check anything important with schools, employers and official sources. How the numbers work.