Data engineering is distinct from data science and analytics.
Data Engineer: Builds and maintains data infrastructure. Pipelines, warehouses, quality.
Data Scientist: Builds models and extracts insights. Statistics, ML, experimentation.
Analytics Engineer: Transforms data for analysts. dbt, SQL, documentation.
Data Analyst: Creates reports and dashboards. SQL, BI tools, business questions.
Your interview focus: Infrastructure, pipelines, scale, reliability. Not model building or statistical analysis.