Resume example · Data
Data Engineer resume example
Data engineering is judged on reliability. The resume should read like someone who has been woken up by a broken pipeline and fixed the cause.
What we would lead with
- Scale: rows, sources, latency, cost
- Reliability work: freshness, quality checks, backfills that did not take a week
- What downstream teams could do afterwards that they could not before
The mistake we would warn you about
Describing the stack instead of the outcome. Everyone has Airflow. Not everyone has cut pipeline failures by 90%.
Bullet points that work for data engineers
Each one opens with an action verb, says what was done, and ends with a result.
- Cut pipeline failures from 30 a month to 3 by adding contract tests at every source boundary.
- Brought warehouse freshness from 6 hours to 15 minutes, enabling same-day operational reporting.
- Reduced Snowflake spend 44% by rewriting eight queries and moving cold data to external tables.
- Rebuilt a backfill process that took 9 days into one that runs overnight.
Skills to list as a data engineer
Pipelines
AirflowdbtKafkaSpark
Storage
SnowflakeBigQueryPostgreSQLS3
Practices
Data quality testingSchema evolutionCost tuning