Career path
Data Engineer
A data engineer builds the pipes that move and shape data so analysts and data scientists can trust what they query. Where an analyst answers questions, a data engineer makes sure the data is there, clean, and reliable in the first place.
What the job actually is
You design and maintain pipelines that collect data from many sources and land it somewhere usable. That means building ingestion jobs, transforming messy inputs into clean tables, and keeping it all running on schedule. The unglamorous truth is that much of the job is reliability — a pipeline that silently breaks is worse than no pipeline at all.
Skills that matter
- Strong SQL — the lingua franca of data work.
- A programming language — usually Python — for pipeline logic.
- Databases and warehouses — how they store and query data at scale.
- Pipeline and orchestration tools for scheduling and dependencies.
- An engineering mindset — testing, version control, and reproducibility.
How to switch in
Data engineering draws from two directions: software engineers moving toward data, and data analysts or analytics engineers deepening their technical skills. If you already write SQL, the move is to strengthen your programming, learn a warehouse and an orchestration tool, and build a pipeline that survives real, messy data.