Data Engineer Resume Example

A data engineer resume needs to prove you can build reliable, scalable data pipelines — pairing exact ATS keywords like Spark, Airflow, and dbt with pipeline metrics that show real business impact.

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Data Engineer Resume Sample

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ROBERT HUGHES

Data Engineer

Minneapolis, MN · r.hughes@email.com · (555) 903-6157

Summary

Data engineer with 5 years building batch and streaming pipelines that process 2TB+ of daily data. Cut pipeline failure rate from 7% to under 1% and reduced warehouse compute costs by $95K annually through query and storage optimization.

Experience

Data Engineer · Target Corporation

2021 - Present

Built Airflow pipelines ingesting 2TB+ daily from 40+ sources into Snowflake, cutting data latency from 12 hours to 45 minutes
Redesigned partitioning and clustering strategy, reducing monthly Snowflake compute costs by $95K
Implemented a dbt-based transformation layer with automated testing, dropping pipeline failure rate from 7% to under 1%
Provisions Snowflake and AWS infra in Terraform, cutting env setup from 3 days to 2 hours

Associate Data Engineer · Spotify

2019 - 2021

Developed Kafka-based streaming pipelines for real-time listener analytics, processing 500K+ events per minute
Migrated legacy batch ETL jobs from Python scripts to Spark, cutting processing time by 65%
Modeled a star-schema listener warehouse in BigQuery serving 25+ analysts on 3 product teams

Data Analyst Intern · Cargill

2018 - 2019

Wrote SQL reporting queries across a 3TB Oracle warehouse supporting 12 supply chain analysts
Automated weekly shipment reconciliation in Python and pandas, saving 6 manual hours per week
Built 4 Tableau dashboards tracking freight cost variance for regional logistics managers

Education

B.S. Computer Science — University of Minnesota · 2019

Skills

Python, SQL, Apache Spark, Airflow, dbt, Snowflake, Kafka, AWS Redshift, Data Modeling, Databricks, Terraform, Docker

Certifications

AWS Certified Data Engineer - Associate, Amazon Web Services

SnowPro Core Certification, Snowflake

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Must-Have Keywords for Data Engineer Resumes

These are the keywords ATS systems and recruiters search for. Include them naturally in your Skills, Summary, and Experience sections.

PythonSQLApache SparkAirflowdbtSnowflakeAWS RedshiftKafkaETL/ELTData WarehousingBigQueryDatabricksData ModelingTerraform

The Right Resume Structure for Data Engineer Roles

ATS systems parse your resume top to bottom. The order of your sections matters — here is the order that works best for Data Engineer applications:

1Contact Information
2Professional Summary
3Technical Skills
4Work Experience
5Projects
6Education
7Certifications

ATS Optimization Tips for Data Engineer Resumes

Quantify pipeline scale: data volume processed daily, number of tables/sources, or latency reduced.
List both the orchestration tool (Airflow, Dagster) and the warehouse (Snowflake, BigQuery, Redshift) by name — recruiters search for exact stacks.
Highlight data quality improvements with numbers: "cut pipeline failure rate from 8% to under 1%."
Show cost savings from query optimization or storage tiering, since data infra costs are heavily scrutinized.
Mention experience partnering with analytics/data science teams to demonstrate business alignment, not just plumbing.
Include dbt or SQL transformation experience explicitly — it's now a standard expectation, not a nice-to-have.
For senior roles, emphasize architecture decisions (batch vs. streaming, lakehouse design) over individual scripts.

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