Data Engineer

Data engineers build and maintain the data infrastructure — pipelines, warehouses, transformation layers, streaming systems. They make sure analysts and ML engineers can actually trust the numbers they're querying. When data is wrong, they're the first call.

Building a new pipeline, debugging a broken ingestion job, optimizing a slow dbt model, and reviewing schema changes with backend.