Technology Stack & Roles
How to hire developers for data integration and API development
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Finding engineers for data integration and API work requires targeting specific skill sets.
Key Skills to Look For:
| Skill Area | Technologies |
|---|---|
| Backend | Node.js, Python, Java |
| APIs | REST, GraphQL, webhooks |
| Databases | PostgreSQL, MongoDB, Redis |
| Integration | Zapier, MuleSoft, custom ETL |
| Cloud | AWS, GCP, Azure services |
Typical Data Integration Roles:
| Role | Focus | Senior Rate |
|---|---|---|
| Backend Engineer | API development | $8,000-9,500/mo |
| Integration Specialist | Platform connections | $8,500-10,000/mo |
| Data Engineer | Pipelines, ETL | $8,500-10,500/mo |
What to Specify in Requirements:
•Specific platforms to integrate (Salesforce, HubSpot, etc.)
•Data volume and real-time requirements
•Security and compliance needs
•Existing tech stack
Interview Focus:
•API design patterns
•Error handling and retry logic
•Data transformation experience
•Production integration maintenance
BEON.tech regularly places engineers for data integration, API development, and platform connection work.
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