Boolean search string for data engineer
To find a data engineer, start with ("Data Engineer" OR "ETL Developer" OR "Analytics Engineer") AND SQL AND Python AND (ETL OR "data pipelines") and adjust it to the job's required skills.
Analytics engineers may work mainly in the warehouse; verify orchestration and production ownership separately.
Edit the pre-filled string
These are starting terms, not a claim that every person in this role must have every listed skill. Search syntax and limits vary by platform and account.
Your Boolean string
Copy into a supported Boolean search field; inspect the results before narrowing further.
Three variations
| Variation | String | When to use it |
|---|---|---|
| Skills only | SQL AND Python AND (ETL OR "data pipelines") | Use when the platform has a separate title filter. |
| With location | ("Data Engineer" OR "ETL Developer" OR "Analytics Engineer") AND SQL AND Python AND (ETL OR "data pipelines") AND Chicago | Chicago is an example. Replace it with the required location or use a location filter. |
| With exclusions | ("Data Engineer" OR "ETL Developer" OR "Analytics Engineer") AND SQL AND Python AND (ETL OR "data pipelines") NOT intern NOT recruiter | Use only after checking false positives. Exclusions can also remove useful profiles. |
Turn a match into a useful pre-screen
Review a sample of profiles for the responsibilities the job actually requires. Add one missing term at a time; record which change improves relevance. A keyword hit is a sourcing lead, not evidence that the person can do the work.
Ask: How did you detect and correct bad data in a pipeline you maintained? Listen for the candidate's own contribution, the constraints, the result and what remains unverified. Do not paste confidential candidate details into search strings.
Data last reviewed: .
Frequently asked questions
Which title variations should I include?
Start with Data Engineer, ETL Developer, Analytics Engineer; inspect a sample of results and keep the titles that match the actual responsibilities.
How do I broaden this search?
Remove the ETL / data pipelines group first, then test one required skill at a time. Keep truly required skills in the screening rubric even if you broaden sourcing.
Does this search establish candidate fit?
No. The string finds profiles containing terms. Verify role-specific evidence in the resume and ask: How did you detect and correct bad data in a pipeline you maintained?
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