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Resume Keywords for Data Engineer

Data engineering resumes must show pipeline scale, data quality discipline, and tooling depth.

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Hard Skills & Technical Keywords

These are the keywords ATS systems weight most heavily for Data Engineer roles. Include the ones you legitimately have throughout your resume.

PythonSQLApache SparkAirflowdbtSnowflakeBigQueryRedshiftKafkaAWSDatabricksETLData ModelingHadoop

Soft Skills That Strengthen the Resume

Soft skills weight less than hard skills, but the right ones — woven into bullets — round out the picture.

Data governanceStakeholder partnershipDocumentation

Certifications That Matter

Missing required certifications causes ATS auto-rejection in many systems — especially for healthcare, finance, and skilled trade roles. List the ones you hold prominently.

Google Cloud Professional Data EngineerAWS Certified Data AnalyticsDatabricks Certified Data Engineer

Action Verbs for Data Engineer Bullets

Lead every bullet with a strong action verb. These are the verbs hiring managers expect to see in Data Engineer resumes.

BuiltArchitectedOptimizedMigratedReduced

Example Bullets

Strong Data Engineer bullets follow a structure: action verb + specific scope + measurable outcome. Use these as inspiration — adapt to your actual experience.

Built data warehouse ingesting 14TB monthly from 22 sources using Airflow and dbt
Reduced pipeline runtime by 68% by partitioning Spark jobs and adopting columnar storage
Migrated legacy ETL from on-prem Informatica to Snowflake, cutting infrastructure costs $340k/year

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