Resume Examples / Data Engineer
Data Engineer Resume Example & Guide
A data engineer resume should prove you build reliable, scalable pipelines and data platforms the whole company depends on.
Key skills for a Data Engineer resume
PythonSQLSparkAirflowdbtKafkaSnowflakeAWSETL/ELTData modeling
ATS keywords recruiters scan for
ETLdata pipelineSparkAirflowdata warehouseKafkadbtSnowflakedata modelingstreaming
Example resume bullet points
- Built Airflow pipelines processing 2TB/day with 99.9% on-time delivery and automated data-quality checks.
- Migrated batch ETL to Spark, cutting nightly processing from 6 hours to 45 minutes.
- Designed a Snowflake warehouse and dbt models that became the analytics layer for 8 teams.
- Built a Kafka streaming pipeline enabling near-real-time dashboards (sub-minute latency).
Common Data Engineer resume mistakes
- Listing tools without showing scale (volume, latency, reliability).
- No mention of data quality or pipeline observability.
- Confusing analyst work with engineering — show infra you built and own.
Want the full breakdown? Read the in-depth Data Engineer resume guide.
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