These are the ATS keywords, credentials, and software terms that recur across current data engineer job descriptions — organized so you can scan for what your resume is missing. Placement matters as much as presence: an ATS keyword buried in a skills list ranks lower than the same term used in context inside an experience bullet.
Title variants
- Data Engineer
- ETL Developer
- Data Pipeline Engineer
- Analytics Engineer
- Big Data Engineer
- Senior Data Engineer
Languages
- Python
- SQL
- PySpark
- Scala
- Java
Transformation
- dbt
- Apache Spark
- PySpark
- Flink
Orchestration
- Apache Airflow
- Prefect
- Dagster
- Luigi
Streaming
- Apache Kafka
- Kinesis
- Pub/Sub
- Apache Flink
- Spark Structured Streaming
Storage and warehousing
- Snowflake
- BigQuery
- Redshift
- Delta Lake
- Apache Iceberg
- S3
- GCS
- Parquet
Cloud and compute
- AWS Glue
- EMR
- Databricks
- GCP Dataflow
- Azure Data Factory
Data quality
- Great Expectations
- dbt tests
- Monte Carlo
Long-tail phrases
- data engineer resume examples
- how to write a data engineer resume
- ETL developer resume
- data pipeline engineer skills
- dbt data engineer resume
Pasting these terms into your resume verbatim without matching context can read as keyword stuffing to a human reviewer, even if it passes the ATS. The full Data Engineer resume guide shows where each category belongs and how to work it into real experience bullets.