Data Track
Mid to Senior
Layout: 1-Page Compact ATS
Data Engineer Resume Example & ATS Guide (2026)
Data Engineer with 6+ years constructing petabyte-scale data lakes, streaming ETL pipelines, and high-performance analytical warehouses. Built batch and streaming architectures processing 80M+ daily events in PySpark and Snowflake with 99.9% data delivery SLA.
99.4%
Workday ATS Pass
99.8%
Greenhouse ATS Pass
Google X-Y-Z
Bullet Formula
Top ATS Keywords & Technical Skills for Data Engineer
Apache SparkPythonSQLSnowflakeKafkadbtAirflowAWS RedshiftDatabricksDelta LakeDockerCI/CD
ATS-Compliant Data Engineer Resume Sample (Plain-Text Preview)
Professional Summary
Data Engineer with 6+ years constructing petabyte-scale data lakes, streaming ETL pipelines, and high-performance analytical warehouses. Built batch and streaming architectures processing 80M+ daily events in PySpark and Snowflake with 99.9% data delivery SLA.
Core Technical Skills
Languages & Core: Apache Spark, Python, SQL, Snowflake
Frameworks & Tools: Kafka, dbt, Airflow
Cloud, Databases & Architecture: AWS Redshift, Databricks, Delta Lake, Docker
Work Experience
Key Engineering Projects
Lakehouse Streaming Analytics Pipeline (Apache Spark, Delta Lake, Kafka, Docker, Terraform)
- Engineered ACID-compliant streaming lakehouse architecture with automated compaction and schema evolution handling 50k events/sec.
- Containerized local development environment with Docker Compose simulating full multi-node Kafka cluster and MinIO S3 object store.
Education
B.S. in Computer Science
University of Colorado Boulder | Boulder, CO (2014 - 2018)
Certifications & Credentials
- Snowflake SnowPro Core Certified
- Databricks Certified Data Engineer Associate
How to Write a High-Scoring Data Engineer Resume
- Use Quantified Google X-Y-Z Bullets: Start each bullet with a strong action verb (Architected, Engineered, Optimized) and quantify the outcome with real metrics (reduced latency by 42%, cut cloud spend by $180k).
- Align Core Keywords to the Job Description: Ensure technologies like Apache Spark, Python, SQL, Snowflake appear in both your Skills inventory and your experience bullets.
- Keep Parser Hierarchy Clean: Avoid tables, multi-nested graphics, or un-selectable text that trip up Workday and Taleo scanners.
- Click "Use This Resume in AI Builder" to personalize this sample and download a polished, vector-sharp PDF in seconds.
Frequently Asked Questions
What should be the focus of a Data Engineer resume?
Volume and velocity of data handled (TB/PB, events/sec), warehouse technologies (Snowflake, BigQuery, Redshift), transformation tools (dbt, Spark), orchestration (Airflow), and data reliability guarantees.
How should data pipeline optimization be quantified?
State specific time or cost reductions: e.g. "Optimized PySpark transformations, decreasing daily ETL batch execution time from 4.5 hours to 42 minutes."
Which certifications help pass ATS screening for Data Engineering?
Snowflake SnowPro, Databricks Certified Data Engineer, and AWS Certified Data Analytics are top scanned keywords.