Data & Analytics
ATS Resume Checker for Data Engineers
Get your resume ATS score in under 30 seconds. See exactly which Data Engineer keywords are missing and fix them before you apply.
ATS Score Benchmark — Data Engineer Roles
Average Data Engineer resume scores 55 — most get filtered before a human sees them.
How ATS Screens Data Engineer Resumes
Data engineering is the fastest-growing tech specialisation in ATS keyword filtering. Companies use Greenhouse and Lever with explicit stack filters: Snowflake vs. BigQuery vs. Redshift; Airflow vs. Prefect; Spark vs. Flink. A generalised "data engineer" resume that doesn't name the warehouse platform used at the target company will score below threshold at most data-driven organisations.
Top ATS Keywords for Data Engineer Resumes
These are the highest-weighted keywords ATS looks for in Data Engineer applications. Missing even 3–5 of these can drop your score below the recruiter's filter threshold.
Resume Bullet Examples — Weak vs. Strong
See how the same experience reads to ATS before and after optimisation.
"Built data pipelines to move data between systems."
"Designed and maintained 35 Airflow DAGs orchestrating ELT pipelines from 12 source systems into Snowflake data warehouse; enabled daily analytics refreshes for 200+ business users with 99.5% SLA adherence."
"Improved data processing speed."
"Refactored PySpark batch jobs processing 2TB/day on AWS EMR; rewrote partition logic and broadcast joins, reducing average job runtime from 4.2 hours to 47 minutes and monthly compute cost by $18k."
6 Common Data Engineer Resume Mistakes
These are the specific patterns that cause Data Engineer resumes to fail ATS — and lose to less-experienced candidates.
- 1"Data pipelines" without naming the orchestration tool — Airflow, Prefect, Dagster are all distinct
- 2No warehouse platform — Snowflake, BigQuery, and Redshift have non-transferable skill sets to ATS
- 3Missing transformation layer — dbt is now a near-universal requirement for analytics engineering
- 4ETL/ELT distinction ignored — cloud-native ELT roles won't match ETL-heavy resumes
- 5No data quality or testing framework — Great Expectations, dbt tests expected in senior roles
- 6Infrastructure gap — Kubernetes and Terraform literacy increasingly required alongside pipeline skills
Frequently Asked Questions
What ATS score do I need as a Data Engineer?
A score of 73+ is considered strong for Data Engineer roles. Most candidates score around 55, meaning they are filtered before a recruiter reads their resume. Check yours free in 30 seconds.
Which ATS systems screen Data Engineer applicants?
The most common ATS platforms for Data Engineer hiring are Greenhouse, Lever, Workday, iCIMS, Jobvite. Our checker simulates how these systems score your resume against a job description.
Is this resume checker free?
Yes — your first ATS score is completely free with no signup required. Upload your resume (PDF or DOCX) and a job description, and get your score in under 30 seconds.
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