Data Engineers
261,000+ Data Engineers — the infrastructure builders managing pipelines, warehouses, and data transformation layers that power modern analytics and AI applications.
Overview
Data Engineers are the backbone of the modern data stack — they design and maintain the pipelines, transformations, and infrastructure that move data from source systems into warehouses, lakes, and downstream analytics and AI applications. With 261,000+ verified records, this audience captures the hands-on practitioners who evaluate, implement, and own the data tooling that drives organizational intelligence.
What's Included
Verified contacts with Data Engineer titles across all seniority levels. Direct email and phone with company firmographics for targeting by industry, company size, and data maturity.
Use Cases
- ETL/ELT and pipeline vendors (Fivetran, Airbyte, dbt) reaching their primary practitioner buyer
- Data observability platforms (Monte Carlo, Great Expectations) targeting engineers responsible for pipeline reliability
- Cloud data infrastructure vendors reaching the engineers specifying and managing warehouse and lake architecture
Build this list with AI
Open in your preferred AI tool to get started.
Data Overview
- Records
- 261,000+
- Coverage
- Global
- Update Frequency
- Daily
Key Attributes
- Full name and title
- Company name, size, and industry
- LinkedIn URL
- Work email and direct phone
- Job function and seniority
Common Use Cases
- Data pipeline and ETL/ELT tool vendors targeting the engineers who build and maintain them
- Data quality and observability platforms reaching hands-on pipeline owners
- Cloud data warehouse vendors targeting the engineers specifying and managing infrastructure