ATS keywords for a data engineer resume
The most important ATS keywords for a data engineer resume are your pipeline stack (Airflow, dbt, Kafka, Spark, ETL/ELT), the warehouse or lakehouse you build on (Snowflake, BigQuery, Redshift, Databricks), core languages (SQL, Python, Scala), and the infrastructure layer (AWS, Docker, Kubernetes, CI/CD, data modeling, data quality).
Data engineering filters are tool-literal: recruiters query "Airflow", "dbt", and "Spark" by name, and seniority is inferred from scale numbers — events/day, table count, pipeline SLAs, cost reductions. "Rebuilt the ELT layer in dbt on Snowflake — 400+ models, 40% lower warehouse spend, freshness SLA from 6h to 45min" is the reference bullet shape. List only the tools you've run in production.
Languages
Pipelines & orchestration
Warehouses & lakes
Infrastructure & quality
Check which of these your resume already has
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