CV for Data Engineer
Data engineers build and maintain data pipelines, warehouses, and infrastructure that enable analytics and machine learning at scale.
Essential Skills
Include these skills on your CV to match what recruiters look for in a Data Engineer.
ATS Keywords to Include
Applicant Tracking Systems scan for these terms. Use them naturally throughout your CV.
CV Writing Tips for Data Engineer
- 1
Specify the scale of data you have worked with in terms of volume, velocity, and variety.
- 2
Mention specific pipeline orchestration tools such as Airflow, Dagster, or Prefect.
- 3
Highlight data quality improvements and monitoring you implemented.
- 4
Include experience with both batch and real-time streaming architectures.
Example Bullet Points
Strong bullet points use action verbs, include metrics, and demonstrate impact. Use these as inspiration.
- Designed and built real-time data pipeline processing 500M+ events/day using Kafka and Spark Streaming with sub-second latency.
- Migrated legacy ETL from stored procedures to dbt + Airflow, reducing data freshness from 24 hours to 15 minutes and cutting costs by 60%.
- Built self-service analytics platform on Snowflake serving 200+ analysts, reducing ad-hoc data request queue by 80%.
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