An opening may emphasize extract, transform, and load (ETL), extract, load, and transform (ELT), batch or stream processing, data modeling, a warehouse or lakehouse, document extraction, a feature store, machine-learning data, search or vector indexing, retrieval-augmented generation data preparation, telemetry and feedback pipelines, data-governance implementation, or platform operations. Specific openings may name Amazon Web Services, Microsoft Azure, Google Cloud, Spark, Airflow, Kafka, Flink, dbt, relational or nonrelational databases, data warehouses, lakehouses, search platforms, vector databases, Linux, container platforms, or infrastructure-as-code tools.