Copy ready-to-use boolean queries to find Data Engineer candidates on LinkedIn, Google, and Indeed.
("data engineer" OR "ETL developer" OR "analytics engineer" OR "data pipeline") AND (Python OR Scala OR Java) AND (Spark OR Airflow OR dbt OR Snowflake OR BigQuery OR Databricks) AND (SQL OR "data warehouse" OR "data lake") NOT (intern OR internship)site:linkedin.com/in ("data engineer" OR "analytics engineer") AND (Spark OR Snowflake OR dbt OR Airflow) -intitle:"jobs"("data engineer" OR "analytics engineer") AND (Python OR SQL) AND (Spark OR Snowflake OR BigQuery OR Airflow OR dbt)Describe your requirements and get custom boolean strings for each platform.
Let Rekro find your Data Engineer candidates in 15 minutes
Rekro searches 800M+ profiles using plain English. No boolean syntax needed. Paste your job description and get a verified shortlist instantly.
Try Rekro for FreeThe analytics engineer title is gaining traction and may not appear in traditional data engineer searches. Warehouse and orchestration tool keywords (dbt, Airflow, Spark) separate data engineers from backend developers. The typical salary range for this role is $125k-$185k (US), making it a competitive hire in today's market.
Our boolean strings target 4 title variations including data engineer, ETL developer, data pipeline engineer, analytics engineer. Each string is optimized for its platform: LinkedIn Recruiter uses AND/OR/NOT operators, Google X-Ray prepends site:linkedin.com/in for direct profile discovery, and Indeed strings work in the "what" search field.
For best results, combine these boolean strings with platform filters for location, experience level, and industry. Or use Rekro's AI-powered search to skip boolean entirely. Describe the role in plain English and get a verified shortlist from 800M+ profiles.
Built from real recruiter workflows. Tested against 800M+ profiles.