Free ATS Resume Checker for Data Engineers

See how your resume matches data engineering jobs at companies like Airbnb, Uber, and Databricks.

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PDF, DOCX, and TXT supported • No signup required

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4.8 · 127 reviews

Top ATS Keywords for Data Engineers

These keywords appear most frequently in data engineer job descriptions.

PythonSQLSparkAirflowAWSSnowflakedbtKafkaETLData PipelinesData ModelingKubernetesDockerTerraformData Warehouse

What Data Engineers Hiring Managers Look For

Pipeline architecture ownership

Designed and maintained end-to-end data pipeline infrastructure

Measurable system impact

Improved performance, reduced costs, or increased data reliability

Modern data stack proficiency

Hands-on experience with cloud platforms and orchestration tools

What you'll get

Detailed analysis to help you tailor your resume for data engineer jobs.

Keyword Matching

See which keywords from the job description appear in your resume and which are missing.

Match Score

Get a 0-100 score showing how well your resume aligns with the job requirements.

Skills Gap Analysis

Identify missing DE skills like Spark, Airflow, or data modeling that the role requires.

Actionable Insights

Get specific suggestions to highlight pipeline scale, reliability improvements, and cost savings.

Required vs Optional

See which qualifications are critical and which are nice-to-haves.

AI-Powered Tailoring

One-click tailoring to automatically optimize your resume for the job.

How it works

1 1

Upload your resume

PDF, DOCX, or TXT. We'll parse it instantly.

2 2

Paste the job description

Copy the full job posting you're applying to.

3 3

See your match score

Get detailed insights on keywords, skills, and gaps.

What job seekers are saying

Showed me exactly which keywords I was missing. Got an interview the next week.
JL

James L.

Software Engineer

I was applying blind. Now I tailor every resume in 5 minutes.
SM

Sarah M.

Product Manager

Went from 45% match to 82%. Wish I found this sooner.
DR

David R.

Data Analyst

Frequently asked questions

What ATS keywords should a data engineer include?

Focus on tools (Spark, Airflow, dbt, Kafka), platforms (AWS, Snowflake, Databricks), and concepts (ETL, Data Modeling, Pipeline Architecture). Match the specific stack mentioned in the job description.

What do hiring managers look for in data engineer resumes?

Systems that scale. They want to see pipelines you built, data quality you improved, and infrastructure costs you reduced. Quantify your impact: 'Reduced pipeline latency by 80%' beats 'Built ETL pipelines.'

How is this different from a general resume checker?

This tool compares your resume against real data engineer job descriptions, not generic resume rules. You'll see exactly which DE-specific tools and keywords you're missing.

Should I tailor my resume for each data engineer job?

Yes. A streaming data role wants different keywords than a batch processing role. Tailoring takes 10 minutes and significantly improves your match rate.

Data Engineers

Resume Examples

See real data engineer resumes that got interviews.

View examples

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