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This free ATS resume checker for data engineers compares your resume with the 20 keywords that appear most often in Data Engineer job posts, then checks your sections, formatting, contact details and bullet points. Paste a real job description in the tool for an exact match.
Data engineering has become one of the fastest-growing tech roles, and job posts are dense with tool names: Spark, Airflow, Kafka, dbt, Snowflake, Databricks, and a cloud provider. The ATS matches these directly. Hiring managers look for scale (data volume, number of pipelines, latency), reliability (SLAs met, failures reduced) and cost. A good data engineer resume reads like a description of a data platform — sources, pipelines, storage and consumers — with numbers at every step.
Top 20 Data Engineer resume keywords
These are the skills and tools the checker looks for when you don't paste a job description. Add the ones you genuinely have to your Skills section and use them in bullet points.
- ETL
- Data Pipelines
- Data Warehousing
- Data Modeling
- SQL
- Python
- Apache Spark
- Streaming
- Data Quality
- Batch Processing
- Query Optimization
- Data Governance
- Airflow
- Kafka
- dbt
- Snowflake
- Databricks
- BigQuery
- AWS
- Redshift
Sections to include in a Data Engineer resume
Use standard headings so the ATS can map your information correctly. For data engineers, these sections matter most:
- Summary: Mention data volume, your main stack (Spark + Airflow + Snowflake) and one reliability or cost win.
- Skills: Group into Processing, Orchestration, Storage/Warehouse, Streaming, Cloud and Languages.
- Experience: Quantify data volume (GB/TB per day), pipeline count, latency and cost savings.
- Projects: Build an end-to-end pipeline from an API to a warehouse with orchestration and tests.
Common Data Engineer resume mistakes
- Only SQL and Excel on a data engineer resume — it reads like an analyst profile.
- No data volumes or SLAs.
- Not naming the warehouse or orchestration tool.
- Ignoring data quality and testing (Great Expectations, dbt tests).
- Describing reports rather than pipelines and platforms.
Sample Data Engineer resume bullet point
Built 40+ Airflow DAGs moving 2 TB of data a day from 15 sources into Snowflake with a 99.5% on-time SLA.
Why it works: it starts with an action verb, names the tools a Data Engineer ATS search looks for, and ends with a measurable result. Rewrite your own bullets in the same shape — action + tool or skill + result. Find more examples on our Data Engineer keywords page.