Data Engineer ATS Resume Checker
Quick answer: A strong data engineer resume names the right tools (SQL, Python, Spark, Airflow), uses standard headings, and shows quantified results in every role. Scan yours below.
🔒 Analysed in your browser. Your resume is never uploaded to our servers.
Scanning your resume…
- Extracting text like an ATS parser
- Detecting sections and headings
- Checking contact details
- Measuring impact and action verbs
- Checking format and length
- Matching keywords
Top Data Engineer resume keywords
Terms that commonly appear in data engineer job postings. Use only those that are true for you.
Example Data Engineer resume bullets
Illustrative examples showing structure. Replace with your own facts.
- Migrated 4 TB warehouse to Snowflake, cutting query time by 60% and costs by 28%.
- Built Airflow DAGs running 300 daily jobs with 99.5% on-time delivery.
- Added dbt tests that caught 40 data-quality issues before reaching dashboards.
Common mistakes to avoid
- No data volume or freshness numbers.
- Listing tools but no pipelines owned.
- Ignoring data quality and cost.
FAQ
What keywords should a Data Engineer resume include?
Common keywords include SQL, Python, Spark, Airflow, dbt, Snowflake/BigQuery, ETL/ELT, Kafka. Only include those you can back up with real experience, and mirror the wording in the job posting.
How long should a Data Engineer resume be?
One page for early career, up to two pages for experienced candidates. Prioritise recent, relevant achievements.
What are common Data Engineer resume mistakes?
No data volume or freshness numbers. Listing tools but no pipelines owned. Ignoring data quality and cost.